id	sid	tid	token	lemma	pos
cord-258235-khdyxiwe	1	1	key	key	NN
cord-258235-khdyxiwe	1	2	:	:	:
cord-258235-khdyxiwe	1	3	cord-258235-khdyxiwe	cord-258235-khdyxiwe	ADD
cord-258235-khdyxiwe	2	1	authors	author	NNS
cord-258235-khdyxiwe	2	2	:	:	:
cord-258235-khdyxiwe	2	3	Chakraborty	Chakraborty	NNP
cord-258235-khdyxiwe	2	4	,	,	,
cord-258235-khdyxiwe	2	5	Tanujit	Tanujit	NNP
cord-258235-khdyxiwe	2	6	;	;	:
cord-258235-khdyxiwe	2	7	Ghosh	Ghosh	NNP
cord-258235-khdyxiwe	2	8	,	,	,
cord-258235-khdyxiwe	2	9	Indrajit	Indrajit	NNP
cord-258235-khdyxiwe	2	10	title	title	NN
cord-258235-khdyxiwe	2	11	:	:	:
cord-258235-khdyxiwe	2	12	Real	real	JJ
cord-258235-khdyxiwe	2	13	-	-	HYPH
cord-258235-khdyxiwe	2	14	time	time	NN
cord-258235-khdyxiwe	2	15	forecasts	forecast	NNS
cord-258235-khdyxiwe	2	16	and	and	CC
cord-258235-khdyxiwe	2	17	risk	risk	NN
cord-258235-khdyxiwe	2	18	assessment	assessment	NN
cord-258235-khdyxiwe	2	19	of	of	IN
cord-258235-khdyxiwe	2	20	novel	novel	JJ
cord-258235-khdyxiwe	2	21	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	2	22	(	(	-LRB-
cord-258235-khdyxiwe	2	23	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	2	24	)	)	-RRB-
cord-258235-khdyxiwe	2	25	cases	case	NNS
cord-258235-khdyxiwe	2	26	:	:	:
cord-258235-khdyxiwe	2	27	A	a	DT
cord-258235-khdyxiwe	2	28	data	data	NN
cord-258235-khdyxiwe	2	29	-	-	HYPH
cord-258235-khdyxiwe	2	30	driven	drive	VBN
cord-258235-khdyxiwe	2	31	analysis	analysis	NN
cord-258235-khdyxiwe	2	32	date	date	NN
cord-258235-khdyxiwe	2	33	:	:	:
cord-258235-khdyxiwe	2	34	2020	2020	CD
cord-258235-khdyxiwe	2	35	-	-	HYPH
cord-258235-khdyxiwe	2	36	04	04	CD
cord-258235-khdyxiwe	2	37	-	-	SYM
cord-258235-khdyxiwe	2	38	30	30	CD
cord-258235-khdyxiwe	2	39	journal	journal	NN
cord-258235-khdyxiwe	2	40	:	:	:
cord-258235-khdyxiwe	3	1	Chaos	Chaos	NNP
cord-258235-khdyxiwe	3	2	Solitons	Solitons	NNPS
cord-258235-khdyxiwe	3	3	Fractals	Fractals	NNPS
cord-258235-khdyxiwe	3	4	DOI	DOI	NNP
cord-258235-khdyxiwe	3	5	:	:	:
cord-258235-khdyxiwe	3	6	10.1016	10.1016	CD
cord-258235-khdyxiwe	3	7	/	/	SYM
cord-258235-khdyxiwe	3	8	j.chaos.2020.109850	j.chaos.2020.109850	NN
cord-258235-khdyxiwe	3	9	sha	sha	NNP
cord-258235-khdyxiwe	3	10	:	:	:
cord-258235-khdyxiwe	4	1	9a7f19bead5d53c0048bdca9ecf0dd9e13b73134	9a7f19bead5d53c0048bdca9ecf0dd9e13b73134	CD
cord-258235-khdyxiwe	4	2	doc_id	doc_id	CD
cord-258235-khdyxiwe	4	3	:	:	:
cord-258235-khdyxiwe	4	4	258235	258235	CD
cord-258235-khdyxiwe	4	5	cord_uid	cord_uid	NNS
cord-258235-khdyxiwe	4	6	:	:	:
cord-258235-khdyxiwe	4	7	khdyxiwe	khdyxiwe	NNP
cord-258235-khdyxiwe	5	1	The	the	DT
cord-258235-khdyxiwe	5	2	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	5	3	disease	disease	NN
cord-258235-khdyxiwe	5	4	2019	2019	CD
cord-258235-khdyxiwe	5	5	(	(	-LRB-
cord-258235-khdyxiwe	5	6	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	5	7	)	)	-RRB-
cord-258235-khdyxiwe	5	8	has	have	VBZ
cord-258235-khdyxiwe	5	9	become	become	VBN
cord-258235-khdyxiwe	5	10	a	a	DT
cord-258235-khdyxiwe	5	11	public	public	JJ
cord-258235-khdyxiwe	5	12	health	health	NN
cord-258235-khdyxiwe	5	13	emergency	emergency	NN
cord-258235-khdyxiwe	5	14	of	of	IN
cord-258235-khdyxiwe	5	15	international	international	JJ
cord-258235-khdyxiwe	5	16	concern	concern	NN
cord-258235-khdyxiwe	5	17	affecting	affect	VBG
cord-258235-khdyxiwe	5	18	201	201	CD
cord-258235-khdyxiwe	5	19	countries	country	NNS
cord-258235-khdyxiwe	5	20	and	and	CC
cord-258235-khdyxiwe	5	21	territories	territory	NNS
cord-258235-khdyxiwe	5	22	around	around	IN
cord-258235-khdyxiwe	5	23	the	the	DT
cord-258235-khdyxiwe	5	24	globe	globe	NN
cord-258235-khdyxiwe	5	25	.	.	.
cord-258235-khdyxiwe	6	1	As	as	IN
cord-258235-khdyxiwe	6	2	of	of	IN
cord-258235-khdyxiwe	6	3	April	April	NNP
cord-258235-khdyxiwe	6	4	4	4	CD
cord-258235-khdyxiwe	6	5	,	,	,
cord-258235-khdyxiwe	6	6	2020	2020	CD
cord-258235-khdyxiwe	6	7	,	,	,
cord-258235-khdyxiwe	6	8	it	-PRON-	PRP
cord-258235-khdyxiwe	6	9	has	have	VBZ
cord-258235-khdyxiwe	6	10	caused	cause	VBN
cord-258235-khdyxiwe	6	11	a	a	DT
cord-258235-khdyxiwe	6	12	pandemic	pandemic	JJ
cord-258235-khdyxiwe	6	13	outbreak	outbreak	NN
cord-258235-khdyxiwe	6	14	with	with	IN
cord-258235-khdyxiwe	6	15	more	more	JJR
cord-258235-khdyxiwe	6	16	than	than	IN
cord-258235-khdyxiwe	6	17	11,16,643	11,16,643	CD
cord-258235-khdyxiwe	6	18	confirmed	confirm	VBN
cord-258235-khdyxiwe	6	19	infections	infection	NNS
cord-258235-khdyxiwe	6	20	and	and	CC
cord-258235-khdyxiwe	6	21	more	more	JJR
cord-258235-khdyxiwe	6	22	than	than	IN
cord-258235-khdyxiwe	6	23	59,170	59,170	CD
cord-258235-khdyxiwe	6	24	reported	report	VBN
cord-258235-khdyxiwe	6	25	deaths	death	NNS
cord-258235-khdyxiwe	6	26	worldwide	worldwide	RB
cord-258235-khdyxiwe	6	27	.	.	.
cord-258235-khdyxiwe	7	1	The	the	DT
cord-258235-khdyxiwe	7	2	main	main	JJ
cord-258235-khdyxiwe	7	3	focus	focus	NN
cord-258235-khdyxiwe	7	4	of	of	IN
cord-258235-khdyxiwe	7	5	this	this	DT
cord-258235-khdyxiwe	7	6	paper	paper	NN
cord-258235-khdyxiwe	7	7	is	be	VBZ
cord-258235-khdyxiwe	7	8	two	two	CD
cord-258235-khdyxiwe	7	9	-	-	HYPH
cord-258235-khdyxiwe	7	10	fold	fold	RB
cord-258235-khdyxiwe	7	11	:	:	:
cord-258235-khdyxiwe	7	12	(	(	-LRB-
cord-258235-khdyxiwe	7	13	a	a	LS
cord-258235-khdyxiwe	7	14	)	)	-RRB-
cord-258235-khdyxiwe	7	15	generating	generate	VBG
cord-258235-khdyxiwe	7	16	short	short	JJ
cord-258235-khdyxiwe	7	17	term	term	NN
cord-258235-khdyxiwe	7	18	(	(	-LRB-
cord-258235-khdyxiwe	7	19	real	real	JJ
cord-258235-khdyxiwe	7	20	-	-	HYPH
cord-258235-khdyxiwe	7	21	time	time	NN
cord-258235-khdyxiwe	7	22	)	)	-RRB-
cord-258235-khdyxiwe	7	23	forecasts	forecast	NNS
cord-258235-khdyxiwe	7	24	of	of	IN
cord-258235-khdyxiwe	7	25	the	the	DT
cord-258235-khdyxiwe	7	26	future	future	JJ
cord-258235-khdyxiwe	7	27	COVID-19	covid-19	CD
cord-258235-khdyxiwe	7	28	cases	case	NNS
cord-258235-khdyxiwe	7	29	for	for	IN
cord-258235-khdyxiwe	7	30	multiple	multiple	JJ
cord-258235-khdyxiwe	7	31	countries	country	NNS
cord-258235-khdyxiwe	7	32	;	;	,
cord-258235-khdyxiwe	7	33	(	(	-LRB-
cord-258235-khdyxiwe	7	34	b	b	NN
cord-258235-khdyxiwe	7	35	)	)	-RRB-
cord-258235-khdyxiwe	7	36	risk	risk	NN
cord-258235-khdyxiwe	7	37	assessment	assessment	NN
cord-258235-khdyxiwe	7	38	(	(	-LRB-
cord-258235-khdyxiwe	7	39	in	in	IN
cord-258235-khdyxiwe	7	40	terms	term	NNS
cord-258235-khdyxiwe	7	41	of	of	IN
cord-258235-khdyxiwe	7	42	case	case	NN
cord-258235-khdyxiwe	7	43	fatality	fatality	NN
cord-258235-khdyxiwe	7	44	rate	rate	NN
cord-258235-khdyxiwe	7	45	)	)	-RRB-
cord-258235-khdyxiwe	7	46	of	of	IN
cord-258235-khdyxiwe	7	47	the	the	DT
cord-258235-khdyxiwe	7	48	novel	novel	NN
cord-258235-khdyxiwe	7	49	COVID-19	covid-19	NN
cord-258235-khdyxiwe	7	50	for	for	IN
cord-258235-khdyxiwe	7	51	some	some	DT
cord-258235-khdyxiwe	7	52	profoundly	profoundly	RB
cord-258235-khdyxiwe	7	53	affected	affected	JJ
cord-258235-khdyxiwe	7	54	countries	country	NNS
cord-258235-khdyxiwe	7	55	by	by	IN
cord-258235-khdyxiwe	7	56	finding	find	VBG
cord-258235-khdyxiwe	7	57	various	various	JJ
cord-258235-khdyxiwe	7	58	important	important	JJ
cord-258235-khdyxiwe	7	59	demographic	demographic	JJ
cord-258235-khdyxiwe	7	60	characteristics	characteristic	NNS
cord-258235-khdyxiwe	7	61	of	of	IN
cord-258235-khdyxiwe	7	62	the	the	DT
cord-258235-khdyxiwe	7	63	countries	country	NNS
cord-258235-khdyxiwe	7	64	along	along	IN
cord-258235-khdyxiwe	7	65	with	with	IN
cord-258235-khdyxiwe	7	66	some	some	DT
cord-258235-khdyxiwe	7	67	disease	disease	NN
cord-258235-khdyxiwe	7	68	characteristics	characteristic	NNS
cord-258235-khdyxiwe	7	69	.	.	.
cord-258235-khdyxiwe	8	1	To	to	TO
cord-258235-khdyxiwe	8	2	solve	solve	VB
cord-258235-khdyxiwe	8	3	the	the	DT
cord-258235-khdyxiwe	8	4	first	first	JJ
cord-258235-khdyxiwe	8	5	problem	problem	NN
cord-258235-khdyxiwe	8	6	,	,	,
cord-258235-khdyxiwe	8	7	we	-PRON-	PRP
cord-258235-khdyxiwe	8	8	presented	present	VBD
cord-258235-khdyxiwe	8	9	a	a	DT
cord-258235-khdyxiwe	8	10	hybrid	hybrid	JJ
cord-258235-khdyxiwe	8	11	approach	approach	NN
cord-258235-khdyxiwe	8	12	based	base	VBN
cord-258235-khdyxiwe	8	13	on	on	IN
cord-258235-khdyxiwe	8	14	autoregressive	autoregressive	JJ
cord-258235-khdyxiwe	8	15	integrated	integrate	VBN
cord-258235-khdyxiwe	8	16	moving	move	VBG
cord-258235-khdyxiwe	8	17	average	average	JJ
cord-258235-khdyxiwe	8	18	model	model	NN
cord-258235-khdyxiwe	8	19	and	and	CC
cord-258235-khdyxiwe	8	20	Wavelet	Wavelet	NNP
cord-258235-khdyxiwe	8	21	-	-	HYPH
cord-258235-khdyxiwe	8	22	based	base	VBN
cord-258235-khdyxiwe	8	23	forecasting	forecasting	NN
cord-258235-khdyxiwe	8	24	model	model	NN
cord-258235-khdyxiwe	8	25	that	that	WDT
cord-258235-khdyxiwe	8	26	can	can	MD
cord-258235-khdyxiwe	8	27	generate	generate	VB
cord-258235-khdyxiwe	8	28	short	short	JJ
cord-258235-khdyxiwe	8	29	-	-	HYPH
cord-258235-khdyxiwe	8	30	term	term	NN
cord-258235-khdyxiwe	8	31	(	(	-LRB-
cord-258235-khdyxiwe	8	32	ten	ten	CD
cord-258235-khdyxiwe	8	33	days	day	NNS
cord-258235-khdyxiwe	8	34	ahead	ahead	RB
cord-258235-khdyxiwe	8	35	)	)	-RRB-
cord-258235-khdyxiwe	9	1	forecasts	forecast	NNS
cord-258235-khdyxiwe	9	2	of	of	IN
cord-258235-khdyxiwe	9	3	the	the	DT
cord-258235-khdyxiwe	9	4	number	number	NN
cord-258235-khdyxiwe	9	5	of	of	IN
cord-258235-khdyxiwe	9	6	daily	daily	JJ
cord-258235-khdyxiwe	9	7	confirmed	confirm	VBN
cord-258235-khdyxiwe	9	8	cases	case	NNS
cord-258235-khdyxiwe	9	9	for	for	IN
cord-258235-khdyxiwe	9	10	Canada	Canada	NNP
cord-258235-khdyxiwe	9	11	,	,	,
cord-258235-khdyxiwe	9	12	France	France	NNP
cord-258235-khdyxiwe	9	13	,	,	,
cord-258235-khdyxiwe	9	14	India	India	NNP
cord-258235-khdyxiwe	9	15	,	,	,
cord-258235-khdyxiwe	9	16	South	South	NNP
cord-258235-khdyxiwe	9	17	Korea	Korea	NNP
cord-258235-khdyxiwe	9	18	,	,	,
cord-258235-khdyxiwe	9	19	and	and	CC
cord-258235-khdyxiwe	9	20	the	the	DT
cord-258235-khdyxiwe	9	21	UK	UK	NNP
cord-258235-khdyxiwe	9	22	.	.	.
cord-258235-khdyxiwe	10	1	The	the	DT
cord-258235-khdyxiwe	10	2	predictions	prediction	NNS
cord-258235-khdyxiwe	10	3	of	of	IN
cord-258235-khdyxiwe	10	4	the	the	DT
cord-258235-khdyxiwe	10	5	future	future	JJ
cord-258235-khdyxiwe	10	6	outbreak	outbreak	NN
cord-258235-khdyxiwe	10	7	for	for	IN
cord-258235-khdyxiwe	10	8	different	different	JJ
cord-258235-khdyxiwe	10	9	countries	country	NNS
cord-258235-khdyxiwe	10	10	will	will	MD
cord-258235-khdyxiwe	10	11	be	be	VB
cord-258235-khdyxiwe	10	12	useful	useful	JJ
cord-258235-khdyxiwe	10	13	for	for	IN
cord-258235-khdyxiwe	10	14	the	the	DT
cord-258235-khdyxiwe	10	15	effective	effective	JJ
cord-258235-khdyxiwe	10	16	allocation	allocation	NN
cord-258235-khdyxiwe	10	17	of	of	IN
cord-258235-khdyxiwe	10	18	health	health	NN
cord-258235-khdyxiwe	10	19	care	care	NN
cord-258235-khdyxiwe	10	20	resources	resource	NNS
cord-258235-khdyxiwe	10	21	and	and	CC
cord-258235-khdyxiwe	10	22	will	will	MD
cord-258235-khdyxiwe	10	23	act	act	VB
cord-258235-khdyxiwe	10	24	as	as	IN
cord-258235-khdyxiwe	10	25	an	an	DT
cord-258235-khdyxiwe	10	26	early	early	JJ
cord-258235-khdyxiwe	10	27	-	-	HYPH
cord-258235-khdyxiwe	10	28	warning	warn	VBG
cord-258235-khdyxiwe	10	29	system	system	NN
cord-258235-khdyxiwe	10	30	for	for	IN
cord-258235-khdyxiwe	10	31	government	government	NN
cord-258235-khdyxiwe	10	32	policymakers	policymaker	NNS
cord-258235-khdyxiwe	10	33	.	.	.
cord-258235-khdyxiwe	11	1	In	in	IN
cord-258235-khdyxiwe	11	2	the	the	DT
cord-258235-khdyxiwe	11	3	second	second	JJ
cord-258235-khdyxiwe	11	4	problem	problem	NN
cord-258235-khdyxiwe	11	5	,	,	,
cord-258235-khdyxiwe	11	6	we	-PRON-	PRP
cord-258235-khdyxiwe	11	7	applied	apply	VBD
cord-258235-khdyxiwe	11	8	an	an	DT
cord-258235-khdyxiwe	11	9	optimal	optimal	JJ
cord-258235-khdyxiwe	11	10	regression	regression	NN
cord-258235-khdyxiwe	11	11	tree	tree	NN
cord-258235-khdyxiwe	11	12	algorithm	algorithm	NN
cord-258235-khdyxiwe	11	13	to	to	TO
cord-258235-khdyxiwe	11	14	find	find	VB
cord-258235-khdyxiwe	11	15	essential	essential	JJ
cord-258235-khdyxiwe	11	16	causal	causal	JJ
cord-258235-khdyxiwe	11	17	variables	variable	NNS
cord-258235-khdyxiwe	11	18	that	that	WDT
cord-258235-khdyxiwe	11	19	significantly	significantly	RB
cord-258235-khdyxiwe	11	20	affect	affect	VBP
cord-258235-khdyxiwe	11	21	the	the	DT
cord-258235-khdyxiwe	11	22	case	case	NN
cord-258235-khdyxiwe	11	23	fatality	fatality	NN
cord-258235-khdyxiwe	11	24	rates	rate	NNS
cord-258235-khdyxiwe	11	25	for	for	IN
cord-258235-khdyxiwe	11	26	different	different	JJ
cord-258235-khdyxiwe	11	27	countries	country	NNS
cord-258235-khdyxiwe	11	28	.	.	.
cord-258235-khdyxiwe	12	1	This	this	DT
cord-258235-khdyxiwe	12	2	data	data	NN
cord-258235-khdyxiwe	12	3	-	-	HYPH
cord-258235-khdyxiwe	12	4	driven	drive	VBN
cord-258235-khdyxiwe	12	5	analysis	analysis	NN
cord-258235-khdyxiwe	12	6	will	will	MD
cord-258235-khdyxiwe	12	7	necessarily	necessarily	RB
cord-258235-khdyxiwe	12	8	provide	provide	VB
cord-258235-khdyxiwe	12	9	deep	deep	JJ
cord-258235-khdyxiwe	12	10	insights	insight	NNS
cord-258235-khdyxiwe	12	11	into	into	IN
cord-258235-khdyxiwe	12	12	the	the	DT
cord-258235-khdyxiwe	12	13	study	study	NN
cord-258235-khdyxiwe	12	14	of	of	IN
cord-258235-khdyxiwe	12	15	early	early	JJ
cord-258235-khdyxiwe	12	16	risk	risk	NN
cord-258235-khdyxiwe	12	17	assessments	assessment	NNS
cord-258235-khdyxiwe	12	18	for	for	IN
cord-258235-khdyxiwe	12	19	50	50	CD
cord-258235-khdyxiwe	12	20	immensely	immensely	RB
cord-258235-khdyxiwe	12	21	affected	affect	VBN
cord-258235-khdyxiwe	12	22	countries	country	NNS
cord-258235-khdyxiwe	12	23	.	.	.
cord-258235-khdyxiwe	13	1	In	in	IN
cord-258235-khdyxiwe	13	2	December	December	NNP
cord-258235-khdyxiwe	13	3	2019	2019	CD
cord-258235-khdyxiwe	13	4	,	,	,
cord-258235-khdyxiwe	13	5	Wuhan	Wuhan	NNP
cord-258235-khdyxiwe	13	6	city	city	NN
cord-258235-khdyxiwe	13	7	of	of	IN
cord-258235-khdyxiwe	13	8	China	China	NNP
cord-258235-khdyxiwe	13	9	became	become	VBD
cord-258235-khdyxiwe	13	10	the	the	DT
cord-258235-khdyxiwe	13	11	centre	centre	NN
cord-258235-khdyxiwe	13	12	of	of	IN
cord-258235-khdyxiwe	13	13	an	an	DT
cord-258235-khdyxiwe	13	14	outbreak	outbreak	NN
cord-258235-khdyxiwe	13	15	of	of	IN
cord-258235-khdyxiwe	13	16	pneumonia	pneumonia	NN
cord-258235-khdyxiwe	13	17	of	of	IN
cord-258235-khdyxiwe	13	18	unknown	unknown	JJ
cord-258235-khdyxiwe	13	19	cause	cause	NN
cord-258235-khdyxiwe	13	20	,	,	,
cord-258235-khdyxiwe	13	21	latter	latter	RB
cord-258235-khdyxiwe	13	22	named	name	VBN
cord-258235-khdyxiwe	13	23	as	as	IN
cord-258235-khdyxiwe	13	24	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	13	25	disease	disease	NN
cord-258235-khdyxiwe	13	26	2019	2019	CD
cord-258235-khdyxiwe	13	27	(	(	-LRB-
cord-258235-khdyxiwe	13	28	COVID-	COVID-	NNP
cord-258235-khdyxiwe	13	29	19	19	CD
cord-258235-khdyxiwe	13	30	)	)	-RRB-
cord-258235-khdyxiwe	13	31	,	,	,
cord-258235-khdyxiwe	13	32	which	which	WDT
cord-258235-khdyxiwe	13	33	raised	raise	VBD
cord-258235-khdyxiwe	13	34	intense	intense	JJ
cord-258235-khdyxiwe	13	35	attention	attention	NN
cord-258235-khdyxiwe	13	36	not	not	RB
cord-258235-khdyxiwe	13	37	only	only	RB
cord-258235-khdyxiwe	13	38	within	within	IN
cord-258235-khdyxiwe	13	39	China	China	NNP
cord-258235-khdyxiwe	13	40	but	but	CC
cord-258235-khdyxiwe	13	41	internationally	internationally	RB
cord-258235-khdyxiwe	13	42	[	[	-LRB-
cord-258235-khdyxiwe	13	43	13	13	CD
cord-258235-khdyxiwe	13	44	;	;	:
cord-258235-khdyxiwe	13	45	32	32	CD
cord-258235-khdyxiwe	13	46	]	]	-RRB-
cord-258235-khdyxiwe	13	47	.	.	.
cord-258235-khdyxiwe	14	1	The	the	DT
cord-258235-khdyxiwe	14	2	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	14	3	pandemic	pandemic	NN
cord-258235-khdyxiwe	14	4	is	be	VBZ
cord-258235-khdyxiwe	14	5	the	the	DT
cord-258235-khdyxiwe	14	6	most	most	RBS
cord-258235-khdyxiwe	14	7	significant	significant	JJ
cord-258235-khdyxiwe	14	8	global	global	JJ
cord-258235-khdyxiwe	14	9	crisis	crisis	NN
cord-258235-khdyxiwe	14	10	since	since	IN
cord-258235-khdyxiwe	14	11	the	the	DT
cord-258235-khdyxiwe	14	12	World	World	NNP
cord-258235-khdyxiwe	14	13	War	War	NNP
cord-258235-khdyxiwe	14	14	-	-	HYPH
cord-258235-khdyxiwe	14	15	II	II	NNP
cord-258235-khdyxiwe	14	16	that	that	WDT
cord-258235-khdyxiwe	14	17	affected	affect	VBD
cord-258235-khdyxiwe	14	18	almost	almost	RB
cord-258235-khdyxiwe	14	19	all	all	PDT
cord-258235-khdyxiwe	14	20	the	the	DT
cord-258235-khdyxiwe	14	21	Countries	Countries	NNPS
cord-258235-khdyxiwe	14	22	of	of	IN
cord-258235-khdyxiwe	14	23	our	-PRON-	PRP$
cord-258235-khdyxiwe	14	24	planet	planet	NN
cord-258235-khdyxiwe	14	25	[	[	-LRB-
cord-258235-khdyxiwe	14	26	4	4	CD
cord-258235-khdyxiwe	14	27	]	]	-RRB-
cord-258235-khdyxiwe	14	28	.	.	.
cord-258235-khdyxiwe	15	1	As	as	IN
cord-258235-khdyxiwe	15	2	of	of	IN
cord-258235-khdyxiwe	15	3	April	April	NNP
cord-258235-khdyxiwe	15	4	4	4	CD
cord-258235-khdyxiwe	15	5	,	,	,
cord-258235-khdyxiwe	15	6	2020	2020	CD
cord-258235-khdyxiwe	15	7	,	,	,
cord-258235-khdyxiwe	15	8	an	an	DT
cord-258235-khdyxiwe	15	9	outbreak	outbreak	NN
cord-258235-khdyxiwe	15	10	of	of	IN
cord-258235-khdyxiwe	15	11	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	15	12	has	have	VBZ
cord-258235-khdyxiwe	15	13	resulted	result	VBN
cord-258235-khdyxiwe	15	14	in	in	IN
cord-258235-khdyxiwe	15	15	11	11	CD
cord-258235-khdyxiwe	15	16	,	,	,
cord-258235-khdyxiwe	15	17	16	16	CD
cord-258235-khdyxiwe	15	18	,	,	,
cord-258235-khdyxiwe	15	19	643	643	CD
cord-258235-khdyxiwe	15	20	confirmed	confirm	VBD
cord-258235-khdyxiwe	15	21	cases	case	NNS
cord-258235-khdyxiwe	15	22	with	with	IN
cord-258235-khdyxiwe	15	23	reported	report	VBN
cord-258235-khdyxiwe	15	24	deaths	death	NNS
cord-258235-khdyxiwe	15	25	of	of	IN
cord-258235-khdyxiwe	15	26	59,170	59,170	CD
cord-258235-khdyxiwe	15	27	worldwide	worldwide	RB
cord-258235-khdyxiwe	15	28	[	[	-LRB-
cord-258235-khdyxiwe	15	29	22	22	CD
cord-258235-khdyxiwe	15	30	]	]	-RRB-
cord-258235-khdyxiwe	15	31	.	.	.
cord-258235-khdyxiwe	16	1	On	on	IN
cord-258235-khdyxiwe	16	2	March	March	NNP
cord-258235-khdyxiwe	16	3	11	11	CD
cord-258235-khdyxiwe	16	4	,	,	,
cord-258235-khdyxiwe	16	5	WHO	who	WP
cord-258235-khdyxiwe	16	6	publicly	publicly	RB
cord-258235-khdyxiwe	16	7	characterized	characterize	VBD
cord-258235-khdyxiwe	16	8	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	16	9	as	as	IN
cord-258235-khdyxiwe	16	10	a	a	DT
cord-258235-khdyxiwe	16	11	"	"	``
cord-258235-khdyxiwe	16	12	global	global	JJ
cord-258235-khdyxiwe	16	13	pandemic	pandemic	NN
cord-258235-khdyxiwe	16	14	"	"	''
cord-258235-khdyxiwe	16	15	,	,	,
cord-258235-khdyxiwe	16	16	and	and	CC
cord-258235-khdyxiwe	16	17	shortly	shortly	RB
cord-258235-khdyxiwe	16	18	after	after	IN
cord-258235-khdyxiwe	16	19	that	that	DT
cord-258235-khdyxiwe	16	20	,	,	,
cord-258235-khdyxiwe	16	21	the	the	DT
cord-258235-khdyxiwe	16	22	United	United	NNP
cord-258235-khdyxiwe	16	23	States	States	NNP
cord-258235-khdyxiwe	16	24	declared	declare	VBD
cord-258235-khdyxiwe	16	25	COVID-19	covid-19	CD
cord-258235-khdyxiwe	16	26	outbreaks	outbreak	NNS
cord-258235-khdyxiwe	16	27	a	a	DT
cord-258235-khdyxiwe	16	28	national	national	JJ
cord-258235-khdyxiwe	16	29	emergency	emergency	NN
cord-258235-khdyxiwe	16	30	.	.	.
cord-258235-khdyxiwe	17	1	The	the	DT
cord-258235-khdyxiwe	17	2	COVID-19	covid-19	NN
cord-258235-khdyxiwe	17	3	has	have	VBZ
cord-258235-khdyxiwe	17	4	caused	cause	VBN
cord-258235-khdyxiwe	17	5	a	a	DT
cord-258235-khdyxiwe	17	6	great	great	JJ
cord-258235-khdyxiwe	17	7	threat	threat	NN
cord-258235-khdyxiwe	17	8	to	to	IN
cord-258235-khdyxiwe	17	9	the	the	DT
cord-258235-khdyxiwe	17	10	health	health	NN
cord-258235-khdyxiwe	17	11	and	and	CC
cord-258235-khdyxiwe	17	12	safety	safety	NN
cord-258235-khdyxiwe	17	13	of	of	IN
cord-258235-khdyxiwe	17	14	people	people	NNS
cord-258235-khdyxiwe	17	15	all	all	RB
cord-258235-khdyxiwe	17	16	over	over	IN
cord-258235-khdyxiwe	17	17	the	the	DT
cord-258235-khdyxiwe	17	18	world	world	NN
cord-258235-khdyxiwe	17	19	due	due	JJ
cord-258235-khdyxiwe	17	20	to	to	IN
cord-258235-khdyxiwe	17	21	its	-PRON-	PRP$
cord-258235-khdyxiwe	17	22	widespread	widespread	JJ
cord-258235-khdyxiwe	17	23	and	and	CC
cord-258235-khdyxiwe	17	24	potential	potential	JJ
cord-258235-khdyxiwe	17	25	harm	harm	NN
cord-258235-khdyxiwe	17	26	.	.	.
cord-258235-khdyxiwe	18	1	Thus	thus	RB
cord-258235-khdyxiwe	18	2	,	,	,
cord-258235-khdyxiwe	18	3	the	the	DT
cord-258235-khdyxiwe	18	4	studies	study	NNS
cord-258235-khdyxiwe	18	5	of	of	IN
cord-258235-khdyxiwe	18	6	the	the	DT
cord-258235-khdyxiwe	18	7	novel	novel	JJ
cord-258235-khdyxiwe	18	8	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	18	9	epidemics	epidemic	NNS
cord-258235-khdyxiwe	18	10	and	and	CC
cord-258235-khdyxiwe	18	11	its	-PRON-	PRP$
cord-258235-khdyxiwe	18	12	future	future	JJ
cord-258235-khdyxiwe	18	13	development	development	NN
cord-258235-khdyxiwe	18	14	trend	trend	NN
cord-258235-khdyxiwe	18	15	has	have	VBZ
cord-258235-khdyxiwe	18	16	become	become	VBN
cord-258235-khdyxiwe	18	17	a	a	DT
cord-258235-khdyxiwe	18	18	cutting	cutting	JJ
cord-258235-khdyxiwe	18	19	-	-	HYPH
cord-258235-khdyxiwe	18	20	edge	edge	NN
cord-258235-khdyxiwe	18	21	research	research	NN
cord-258235-khdyxiwe	18	22	topic	topic	NN
cord-258235-khdyxiwe	18	23	at	at	IN
cord-258235-khdyxiwe	18	24	this	this	DT
cord-258235-khdyxiwe	18	25	moment	moment	NN
cord-258235-khdyxiwe	18	26	.	.	.
cord-258235-khdyxiwe	19	1	We	-PRON-	PRP
cord-258235-khdyxiwe	19	2	are	be	VBP
cord-258235-khdyxiwe	19	3	therefore	therefore	RB
cord-258235-khdyxiwe	19	4	motivated	motivated	JJ
cord-258235-khdyxiwe	19	5	to	to	TO
cord-258235-khdyxiwe	19	6	ask	ask	VB
cord-258235-khdyxiwe	19	7	:	:	:
cord-258235-khdyxiwe	19	8	(	(	-LRB-
cord-258235-khdyxiwe	19	9	a	a	LS
cord-258235-khdyxiwe	19	10	)	)	-RRB-
cord-258235-khdyxiwe	20	1	Can	Can	MD
cord-258235-khdyxiwe	20	2	we	-PRON-	PRP
cord-258235-khdyxiwe	20	3	generate	generate	VB
cord-258235-khdyxiwe	20	4	real	real	JJ
cord-258235-khdyxiwe	20	5	-	-	HYPH
cord-258235-khdyxiwe	20	6	time	time	NN
cord-258235-khdyxiwe	20	7	forecasts	forecast	NNS
cord-258235-khdyxiwe	20	8	of	of	IN
cord-258235-khdyxiwe	20	9	daily	daily	JJ
cord-258235-khdyxiwe	20	10	new	new	JJ
cord-258235-khdyxiwe	20	11	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	20	12	cases	case	NNS
cord-258235-khdyxiwe	20	13	for	for	IN
cord-258235-khdyxiwe	20	14	countries	country	NNS
cord-258235-khdyxiwe	20	15	like	like	IN
cord-258235-khdyxiwe	20	16	Canada	Canada	NNP
cord-258235-khdyxiwe	20	17	,	,	,
cord-258235-khdyxiwe	20	18	France	France	NNP
cord-258235-khdyxiwe	20	19	,	,	,
cord-258235-khdyxiwe	20	20	India	India	NNP
cord-258235-khdyxiwe	20	21	,	,	,
cord-258235-khdyxiwe	20	22	South	South	NNP
cord-258235-khdyxiwe	20	23	Korea	Korea	NNP
cord-258235-khdyxiwe	20	24	,	,	,
cord-258235-khdyxiwe	20	25	and	and	CC
cord-258235-khdyxiwe	20	26	the	the	DT
cord-258235-khdyxiwe	20	27	UK	UK	NNP
cord-258235-khdyxiwe	20	28	?	?	.
cord-258235-khdyxiwe	21	1	(	(	-LRB-
cord-258235-khdyxiwe	21	2	b	b	LS
cord-258235-khdyxiwe	21	3	)	)	-RRB-
cord-258235-khdyxiwe	21	4	What	what	WP
cord-258235-khdyxiwe	21	5	are	be	VBP
cord-258235-khdyxiwe	21	6	the	the	DT
cord-258235-khdyxiwe	21	7	probable	probable	JJ
cord-258235-khdyxiwe	21	8	causal	causal	JJ
cord-258235-khdyxiwe	21	9	variables	variable	NNS
cord-258235-khdyxiwe	21	10	that	that	WDT
cord-258235-khdyxiwe	21	11	have	have	VBP
cord-258235-khdyxiwe	21	12	significant	significant	JJ
cord-258235-khdyxiwe	21	13	impacts	impact	NNS
cord-258235-khdyxiwe	21	14	on	on	IN
cord-258235-khdyxiwe	21	15	the	the	DT
cord-258235-khdyxiwe	21	16	case	case	NN
cord-258235-khdyxiwe	21	17	fatality	fatality	NN
cord-258235-khdyxiwe	21	18	rates	rate	NNS
cord-258235-khdyxiwe	21	19	for	for	IN
cord-258235-khdyxiwe	21	20	the	the	DT
cord-258235-khdyxiwe	21	21	profoundly	profoundly	RB
cord-258235-khdyxiwe	21	22	affected	affected	JJ
cord-258235-khdyxiwe	21	23	countries	country	NNS
cord-258235-khdyxiwe	21	24	?	?	.
cord-258235-khdyxiwe	22	1	To	to	TO
cord-258235-khdyxiwe	22	2	answer	answer	VB
cord-258235-khdyxiwe	22	3	the	the	DT
cord-258235-khdyxiwe	22	4	first	first	JJ
cord-258235-khdyxiwe	22	5	question	question	NN
cord-258235-khdyxiwe	22	6	,	,	,
cord-258235-khdyxiwe	22	7	we	-PRON-	PRP
cord-258235-khdyxiwe	22	8	study	study	VBP
cord-258235-khdyxiwe	22	9	classical	classical	JJ
cord-258235-khdyxiwe	22	10	and	and	CC
cord-258235-khdyxiwe	22	11	modern	modern	JJ
cord-258235-khdyxiwe	22	12	forecasting	forecasting	NN
cord-258235-khdyxiwe	22	13	techniques	technique	NNS
cord-258235-khdyxiwe	22	14	for	for	IN
cord-258235-khdyxiwe	22	15	which	which	WDT
cord-258235-khdyxiwe	22	16	the	the	DT
cord-258235-khdyxiwe	22	17	prediction	prediction	NN
cord-258235-khdyxiwe	22	18	accuracy	accuracy	NN
cord-258235-khdyxiwe	22	19	largely	largely	RB
cord-258235-khdyxiwe	22	20	depend	depend	VBP
cord-258235-khdyxiwe	22	21	on	on	IN
cord-258235-khdyxiwe	22	22	the	the	DT
cord-258235-khdyxiwe	22	23	availability	availability	NN
cord-258235-khdyxiwe	22	24	of	of	IN
cord-258235-khdyxiwe	22	25	data	datum	NNS
cord-258235-khdyxiwe	22	26	[	[	-LRB-
cord-258235-khdyxiwe	22	27	28	28	CD
cord-258235-khdyxiwe	22	28	]	]	-RRB-
cord-258235-khdyxiwe	22	29	.	.	.
cord-258235-khdyxiwe	23	1	In	in	IN
cord-258235-khdyxiwe	23	2	outbreaks	outbreak	NNS
cord-258235-khdyxiwe	23	3	of	of	IN
cord-258235-khdyxiwe	23	4	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	23	5	epidemics	epidemic	NNS
cord-258235-khdyxiwe	23	6	,	,	,
cord-258235-khdyxiwe	23	7	there	there	EX
cord-258235-khdyxiwe	23	8	are	be	VBP
cord-258235-khdyxiwe	23	9	limited	limited	JJ
cord-258235-khdyxiwe	23	10	data	datum	NNS
cord-258235-khdyxiwe	23	11	available	available	JJ
cord-258235-khdyxiwe	23	12	,	,	,
cord-258235-khdyxiwe	23	13	making	make	VBG
cord-258235-khdyxiwe	23	14	predictions	prediction	NNS
cord-258235-khdyxiwe	23	15	widely	widely	RB
cord-258235-khdyxiwe	23	16	uncertain	uncertain	JJ
cord-258235-khdyxiwe	23	17	.	.	.
cord-258235-khdyxiwe	24	1	From	from	IN
cord-258235-khdyxiwe	24	2	previous	previous	JJ
cord-258235-khdyxiwe	24	3	studies	study	NNS
cord-258235-khdyxiwe	24	4	,	,	,
cord-258235-khdyxiwe	24	5	it	-PRON-	PRP
cord-258235-khdyxiwe	24	6	was	be	VBD
cord-258235-khdyxiwe	24	7	evident	evident	JJ
cord-258235-khdyxiwe	24	8	that	that	IN
cord-258235-khdyxiwe	24	9	the	the	DT
cord-258235-khdyxiwe	24	10	timing	timing	NN
cord-258235-khdyxiwe	24	11	and	and	CC
cord-258235-khdyxiwe	24	12	location	location	NN
cord-258235-khdyxiwe	24	13	of	of	IN
cord-258235-khdyxiwe	24	14	the	the	DT
cord-258235-khdyxiwe	24	15	outbreak	outbreak	NN
cord-258235-khdyxiwe	24	16	facilitated	facilitate	VBD
cord-258235-khdyxiwe	24	17	the	the	DT
cord-258235-khdyxiwe	24	18	rapid	rapid	JJ
cord-258235-khdyxiwe	24	19	transmission	transmission	NN
cord-258235-khdyxiwe	24	20	of	of	IN
cord-258235-khdyxiwe	24	21	the	the	DT
cord-258235-khdyxiwe	24	22	virus	virus	NN
cord-258235-khdyxiwe	24	23	within	within	IN
cord-258235-khdyxiwe	24	24	a	a	DT
cord-258235-khdyxiwe	24	25	highly	highly	RB
cord-258235-khdyxiwe	24	26	mobile	mobile	JJ
cord-258235-khdyxiwe	24	27	population	population	NN
cord-258235-khdyxiwe	24	28	[	[	-LRB-
cord-258235-khdyxiwe	24	29	29	29	CD
cord-258235-khdyxiwe	24	30	]	]	-RRB-
cord-258235-khdyxiwe	24	31	.	.	.
cord-258235-khdyxiwe	25	1	In	in	IN
cord-258235-khdyxiwe	25	2	most	most	JJS
cord-258235-khdyxiwe	25	3	of	of	IN
cord-258235-khdyxiwe	25	4	the	the	DT
cord-258235-khdyxiwe	25	5	affected	affected	JJ
cord-258235-khdyxiwe	25	6	countries	country	NNS
cord-258235-khdyxiwe	25	7	,	,	,
cord-258235-khdyxiwe	25	8	the	the	DT
cord-258235-khdyxiwe	25	9	governments	government	NNS
cord-258235-khdyxiwe	25	10	implemented	implement	VBD
cord-258235-khdyxiwe	25	11	a	a	DT
cord-258235-khdyxiwe	25	12	strict	strict	JJ
cord-258235-khdyxiwe	25	13	lockdown	lockdown	NN
cord-258235-khdyxiwe	25	14	in	in	IN
cord-258235-khdyxiwe	25	15	subsequent	subsequent	JJ
cord-258235-khdyxiwe	25	16	days	day	NNS
cord-258235-khdyxiwe	25	17	of	of	IN
cord-258235-khdyxiwe	25	18	initial	initial	JJ
cord-258235-khdyxiwe	25	19	transmission	transmission	NN
cord-258235-khdyxiwe	25	20	of	of	IN
cord-258235-khdyxiwe	25	21	the	the	DT
cord-258235-khdyxiwe	25	22	virus	virus	NN
cord-258235-khdyxiwe	25	23	and	and	CC
cord-258235-khdyxiwe	25	24	within	within	IN
cord-258235-khdyxiwe	25	25	hospitals	hospital	NNS
cord-258235-khdyxiwe	25	26	,	,	,
cord-258235-khdyxiwe	25	27	patients	patient	NNS
cord-258235-khdyxiwe	25	28	who	who	WP
cord-258235-khdyxiwe	25	29	fulfill	fulfill	VBP
cord-258235-khdyxiwe	25	30	clinical	clinical	JJ
cord-258235-khdyxiwe	25	31	and	and	CC
cord-258235-khdyxiwe	25	32	epidemiological	epidemiological	JJ
cord-258235-khdyxiwe	25	33	characteristics	characteristic	NNS
cord-258235-khdyxiwe	25	34	of	of	IN
cord-258235-khdyxiwe	25	35	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	25	36	are	be	VBP
cord-258235-khdyxiwe	25	37	immediately	immediately	RB
cord-258235-khdyxiwe	25	38	isolated	isolate	VBN
cord-258235-khdyxiwe	25	39	.	.	.
cord-258235-khdyxiwe	26	1	The	the	DT
cord-258235-khdyxiwe	26	2	constant	constant	JJ
cord-258235-khdyxiwe	26	3	increase	increase	NN
cord-258235-khdyxiwe	26	4	in	in	IN
cord-258235-khdyxiwe	26	5	the	the	DT
cord-258235-khdyxiwe	26	6	global	global	JJ
cord-258235-khdyxiwe	26	7	number	number	NN
cord-258235-khdyxiwe	26	8	of	of	IN
cord-258235-khdyxiwe	26	9	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	26	10	cases	case	NNS
cord-258235-khdyxiwe	26	11	is	be	VBZ
cord-258235-khdyxiwe	26	12	putting	put	VBG
cord-258235-khdyxiwe	26	13	a	a	DT
cord-258235-khdyxiwe	26	14	substantial	substantial	JJ
cord-258235-khdyxiwe	26	15	burden	burden	NN
cord-258235-khdyxiwe	26	16	on	on	IN
cord-258235-khdyxiwe	26	17	the	the	DT
cord-258235-khdyxiwe	26	18	health	health	NN
cord-258235-khdyxiwe	26	19	care	care	NN
cord-258235-khdyxiwe	26	20	system	system	NN
cord-258235-khdyxiwe	26	21	for	for	IN
cord-258235-khdyxiwe	26	22	Canada	Canada	NNP
cord-258235-khdyxiwe	26	23	,	,	,
cord-258235-khdyxiwe	26	24	France	France	NNP
cord-258235-khdyxiwe	26	25	,	,	,
cord-258235-khdyxiwe	26	26	India	India	NNP
cord-258235-khdyxiwe	26	27	,	,	,
cord-258235-khdyxiwe	26	28	South	South	NNP
cord-258235-khdyxiwe	26	29	Korea	Korea	NNP
cord-258235-khdyxiwe	26	30	,	,	,
cord-258235-khdyxiwe	26	31	and	and	CC
cord-258235-khdyxiwe	26	32	the	the	DT
cord-258235-khdyxiwe	26	33	UK	UK	NNP
cord-258235-khdyxiwe	26	34	.	.	.
cord-258235-khdyxiwe	27	1	To	to	TO
cord-258235-khdyxiwe	27	2	anticipate	anticipate	VB
cord-258235-khdyxiwe	27	3	additional	additional	JJ
cord-258235-khdyxiwe	27	4	resources	resource	NNS
cord-258235-khdyxiwe	27	5	to	to	TO
cord-258235-khdyxiwe	27	6	combat	combat	VB
cord-258235-khdyxiwe	27	7	the	the	DT
cord-258235-khdyxiwe	27	8	epidemic	epidemic	NN
cord-258235-khdyxiwe	27	9	,	,	,
cord-258235-khdyxiwe	27	10	various	various	JJ
cord-258235-khdyxiwe	27	11	mathematical	mathematical	JJ
cord-258235-khdyxiwe	27	12	and	and	CC
cord-258235-khdyxiwe	27	13	statistical	statistical	JJ
cord-258235-khdyxiwe	27	14	forecasting	forecasting	NN
cord-258235-khdyxiwe	27	15	tools	tool	NNS
cord-258235-khdyxiwe	27	16	[	[	-LRB-
cord-258235-khdyxiwe	27	17	21	21	CD
cord-258235-khdyxiwe	27	18	;	;	SYM
cord-258235-khdyxiwe	27	19	34	34	CD
cord-258235-khdyxiwe	27	20	]	]	-RRB-
cord-258235-khdyxiwe	27	21	and	and	CC
cord-258235-khdyxiwe	27	22	outside	outside	IN
cord-258235-khdyxiwe	27	23	China	China	NNP
cord-258235-khdyxiwe	27	24	[	[	-LRB-
cord-258235-khdyxiwe	27	25	20	20	CD
cord-258235-khdyxiwe	27	26	;	;	SYM
cord-258235-khdyxiwe	27	27	36	36	CD
cord-258235-khdyxiwe	27	28	;	;	SYM
cord-258235-khdyxiwe	27	29	10	10	CD
cord-258235-khdyxiwe	27	30	]	]	-RRB-
cord-258235-khdyxiwe	27	31	were	be	VBD
cord-258235-khdyxiwe	27	32	applied	apply	VBN
cord-258235-khdyxiwe	27	33	to	to	TO
cord-258235-khdyxiwe	27	34	generate	generate	VB
cord-258235-khdyxiwe	27	35	short	short	JJ
cord-258235-khdyxiwe	27	36	-	-	HYPH
cord-258235-khdyxiwe	27	37	term	term	NN
cord-258235-khdyxiwe	27	38	and	and	CC
cord-258235-khdyxiwe	27	39	long	long	JJ
cord-258235-khdyxiwe	27	40	-	-	HYPH
cord-258235-khdyxiwe	27	41	term	term	NN
cord-258235-khdyxiwe	27	42	forecasts	forecast	NNS
cord-258235-khdyxiwe	27	43	of	of	IN
cord-258235-khdyxiwe	27	44	reported	report	VBN
cord-258235-khdyxiwe	27	45	cases	case	NNS
cord-258235-khdyxiwe	27	46	.	.	.
cord-258235-khdyxiwe	28	1	These	these	DT
cord-258235-khdyxiwe	28	2	model	model	NN
cord-258235-khdyxiwe	28	3	predictions	prediction	NNS
cord-258235-khdyxiwe	28	4	have	have	VBP
cord-258235-khdyxiwe	28	5	shown	show	VBN
cord-258235-khdyxiwe	28	6	a	a	DT
cord-258235-khdyxiwe	28	7	wide	wide	JJ
cord-258235-khdyxiwe	28	8	range	range	NN
cord-258235-khdyxiwe	28	9	of	of	IN
cord-258235-khdyxiwe	28	10	variations	variation	NNS
cord-258235-khdyxiwe	28	11	.	.	.
cord-258235-khdyxiwe	29	1	Since	since	IN
cord-258235-khdyxiwe	29	2	the	the	DT
cord-258235-khdyxiwe	29	3	time	time	NN
cord-258235-khdyxiwe	29	4	series	series	NN
cord-258235-khdyxiwe	29	5	datasets	dataset	NNS
cord-258235-khdyxiwe	29	6	of	of	IN
cord-258235-khdyxiwe	29	7	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	29	8	contain	contain	VBP
cord-258235-khdyxiwe	29	9	both	both	DT
cord-258235-khdyxiwe	29	10	nonlinear	nonlinear	JJ
cord-258235-khdyxiwe	29	11	and	and	CC
cord-258235-khdyxiwe	29	12	nonstationary	nonstationary	JJ
cord-258235-khdyxiwe	29	13	patterns	pattern	NNS
cord-258235-khdyxiwe	29	14	,	,	,
cord-258235-khdyxiwe	29	15	therefore	therefore	RB
cord-258235-khdyxiwe	29	16	,	,	,
cord-258235-khdyxiwe	29	17	making	make	VBG
cord-258235-khdyxiwe	29	18	decisions	decision	NNS
cord-258235-khdyxiwe	29	19	based	base	VBN
cord-258235-khdyxiwe	29	20	on	on	IN
cord-258235-khdyxiwe	29	21	an	an	DT
cord-258235-khdyxiwe	29	22	individual	individual	JJ
cord-258235-khdyxiwe	29	23	model	model	NN
cord-258235-khdyxiwe	29	24	would	would	MD
cord-258235-khdyxiwe	29	25	be	be	VB
cord-258235-khdyxiwe	29	26	critical	critical	JJ
cord-258235-khdyxiwe	29	27	.	.	.
cord-258235-khdyxiwe	30	1	In	in	IN
cord-258235-khdyxiwe	30	2	this	this	DT
cord-258235-khdyxiwe	30	3	study	study	NN
cord-258235-khdyxiwe	30	4	,	,	,
cord-258235-khdyxiwe	30	5	we	-PRON-	PRP
cord-258235-khdyxiwe	30	6	propose	propose	VBP
cord-258235-khdyxiwe	30	7	a	a	DT
cord-258235-khdyxiwe	30	8	hybrid	hybrid	JJ
cord-258235-khdyxiwe	30	9	modeling	modeling	NN
cord-258235-khdyxiwe	30	10	approach	approach	NN
cord-258235-khdyxiwe	30	11	to	to	TO
cord-258235-khdyxiwe	30	12	generate	generate	VB
cord-258235-khdyxiwe	30	13	short	short	JJ
cord-258235-khdyxiwe	30	14	-	-	HYPH
cord-258235-khdyxiwe	30	15	term	term	NN
cord-258235-khdyxiwe	30	16	forecasts	forecast	NNS
cord-258235-khdyxiwe	30	17	for	for	IN
cord-258235-khdyxiwe	30	18	multiple	multiple	JJ
cord-258235-khdyxiwe	30	19	countries	country	NNS
cord-258235-khdyxiwe	30	20	.	.	.
cord-258235-khdyxiwe	31	1	In	in	IN
cord-258235-khdyxiwe	31	2	traditional	traditional	JJ
cord-258235-khdyxiwe	31	3	time	time	NN
cord-258235-khdyxiwe	31	4	series	series	NN
cord-258235-khdyxiwe	31	5	forecasting	forecasting	NN
cord-258235-khdyxiwe	31	6	,	,	,
cord-258235-khdyxiwe	31	7	the	the	DT
cord-258235-khdyxiwe	31	8	autoregressive	autoregressive	NN
cord-258235-khdyxiwe	31	9	integrated	integrate	VBN
cord-258235-khdyxiwe	31	10	moving	move	VBG
cord-258235-khdyxiwe	31	11	average	average	NN
cord-258235-khdyxiwe	31	12	(	(	-LRB-
cord-258235-khdyxiwe	31	13	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	31	14	)	)	-RRB-
cord-258235-khdyxiwe	31	15	model	model	NN
cord-258235-khdyxiwe	31	16	is	be	VBZ
cord-258235-khdyxiwe	31	17	used	use	VBN
cord-258235-khdyxiwe	31	18	predominantly	predominantly	RB
cord-258235-khdyxiwe	31	19	for	for	IN
cord-258235-khdyxiwe	31	20	forecasting	forecast	VBG
cord-258235-khdyxiwe	31	21	linear	linear	JJ
cord-258235-khdyxiwe	31	22	time	time	NN
cord-258235-khdyxiwe	31	23	series	series	NNP
cord-258235-khdyxiwe	31	24	[	[	-LRB-
cord-258235-khdyxiwe	31	25	6	6	CD
cord-258235-khdyxiwe	31	26	]	]	-RRB-
cord-258235-khdyxiwe	31	27	.	.	.
cord-258235-khdyxiwe	32	1	But	but	CC
cord-258235-khdyxiwe	32	2	in	in	IN
cord-258235-khdyxiwe	32	3	recent	recent	JJ
cord-258235-khdyxiwe	32	4	literature	literature	NN
cord-258235-khdyxiwe	32	5	,	,	,
cord-258235-khdyxiwe	32	6	the	the	DT
cord-258235-khdyxiwe	32	7	wavelet	wavelet	NN
cord-258235-khdyxiwe	32	8	transformation	transformation	NN
cord-258235-khdyxiwe	32	9	based	base	VBN
cord-258235-khdyxiwe	32	10	forecasting	forecasting	NN
cord-258235-khdyxiwe	32	11	model	model	NN
cord-258235-khdyxiwe	32	12	has	have	VBZ
cord-258235-khdyxiwe	32	13	shown	show	VBN
cord-258235-khdyxiwe	32	14	excellent	excellent	JJ
cord-258235-khdyxiwe	32	15	performance	performance	NN
cord-258235-khdyxiwe	32	16	in	in	IN
cord-258235-khdyxiwe	32	17	nonstationary	nonstationary	NNP
cord-258235-khdyxiwe	32	18	time	time	NNP
cord-258235-khdyxiwe	32	19	series	series	NNP
cord-258235-khdyxiwe	32	20	data	data	NNP
cord-258235-khdyxiwe	32	21	modeling	model	VBG
cord-258235-khdyxiwe	32	22	[	[	-LRB-
cord-258235-khdyxiwe	32	23	27	27	CD
cord-258235-khdyxiwe	32	24	]	]	-RRB-
cord-258235-khdyxiwe	32	25	.	.	.
cord-258235-khdyxiwe	33	1	Thus	thus	RB
cord-258235-khdyxiwe	33	2	,	,	,
cord-258235-khdyxiwe	33	3	combining	combine	VBG
cord-258235-khdyxiwe	33	4	both	both	DT
cord-258235-khdyxiwe	33	5	models	model	NNS
cord-258235-khdyxiwe	33	6	may	may	MD
cord-258235-khdyxiwe	33	7	accurately	accurately	RB
cord-258235-khdyxiwe	33	8	model	model	VB
cord-258235-khdyxiwe	33	9	such	such	JJ
cord-258235-khdyxiwe	33	10	complex	complex	JJ
cord-258235-khdyxiwe	33	11	autocorrelation	autocorrelation	NN
cord-258235-khdyxiwe	33	12	structures	structure	NNS
cord-258235-khdyxiwe	33	13	in	in	IN
cord-258235-khdyxiwe	33	14	the	the	DT
cord-258235-khdyxiwe	33	15	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	33	16	time	time	NN
cord-258235-khdyxiwe	33	17	-	-	HYPH
cord-258235-khdyxiwe	33	18	series	series	NN
cord-258235-khdyxiwe	33	19	datasets	dataset	NNS
cord-258235-khdyxiwe	33	20	and	and	CC
cord-258235-khdyxiwe	33	21	reduce	reduce	VB
cord-258235-khdyxiwe	33	22	the	the	DT
cord-258235-khdyxiwe	33	23	bias	bias	NN
cord-258235-khdyxiwe	33	24	and	and	CC
cord-258235-khdyxiwe	33	25	variances	variance	NNS
cord-258235-khdyxiwe	33	26	of	of	IN
cord-258235-khdyxiwe	33	27	the	the	DT
cord-258235-khdyxiwe	33	28	prediction	prediction	NN
cord-258235-khdyxiwe	33	29	error	error	NN
cord-258235-khdyxiwe	33	30	of	of	IN
cord-258235-khdyxiwe	33	31	the	the	DT
cord-258235-khdyxiwe	33	32	component	component	NN
cord-258235-khdyxiwe	33	33	models	model	NNS
cord-258235-khdyxiwe	33	34	.	.	.
cord-258235-khdyxiwe	34	1	In	in	IN
cord-258235-khdyxiwe	34	2	the	the	DT
cord-258235-khdyxiwe	34	3	absence	absence	NN
cord-258235-khdyxiwe	34	4	of	of	IN
cord-258235-khdyxiwe	34	5	vaccines	vaccine	NNS
cord-258235-khdyxiwe	34	6	or	or	CC
cord-258235-khdyxiwe	34	7	antiviral	antiviral	JJ
cord-258235-khdyxiwe	34	8	drugs	drug	NNS
cord-258235-khdyxiwe	34	9	for	for	IN
cord-258235-khdyxiwe	34	10	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	34	11	,	,	,
cord-258235-khdyxiwe	34	12	these	these	DT
cord-258235-khdyxiwe	34	13	estimates	estimate	NNS
cord-258235-khdyxiwe	34	14	will	will	MD
cord-258235-khdyxiwe	34	15	provide	provide	VB
cord-258235-khdyxiwe	34	16	an	an	DT
cord-258235-khdyxiwe	34	17	insight	insight	NN
cord-258235-khdyxiwe	34	18	into	into	IN
cord-258235-khdyxiwe	34	19	the	the	DT
cord-258235-khdyxiwe	34	20	resource	resource	NN
cord-258235-khdyxiwe	34	21	allocations	allocation	NNS
cord-258235-khdyxiwe	34	22	for	for	IN
cord-258235-khdyxiwe	34	23	the	the	DT
cord-258235-khdyxiwe	34	24	exceedingly	exceedingly	RB
cord-258235-khdyxiwe	34	25	affected	affected	JJ
cord-258235-khdyxiwe	34	26	countries	country	NNS
cord-258235-khdyxiwe	34	27	to	to	TO
cord-258235-khdyxiwe	34	28	keep	keep	VB
cord-258235-khdyxiwe	34	29	this	this	DT
cord-258235-khdyxiwe	34	30	epidemic	epidemic	NN
cord-258235-khdyxiwe	34	31	under	under	IN
cord-258235-khdyxiwe	34	32	control	control	NN
cord-258235-khdyxiwe	34	33	.	.	.
cord-258235-khdyxiwe	35	1	Besides	besides	IN
cord-258235-khdyxiwe	35	2	shedding	shed	VBG
cord-258235-khdyxiwe	35	3	light	light	NN
cord-258235-khdyxiwe	35	4	on	on	IN
cord-258235-khdyxiwe	35	5	the	the	DT
cord-258235-khdyxiwe	35	6	dynamics	dynamic	NNS
cord-258235-khdyxiwe	35	7	of	of	IN
cord-258235-khdyxiwe	35	8	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	35	9	spreading	spreading	NN
cord-258235-khdyxiwe	35	10	,	,	,
cord-258235-khdyxiwe	35	11	the	the	DT
cord-258235-khdyxiwe	35	12	practical	practical	JJ
cord-258235-khdyxiwe	35	13	intent	intent	NN
cord-258235-khdyxiwe	35	14	of	of	IN
cord-258235-khdyxiwe	35	15	this	this	DT
cord-258235-khdyxiwe	35	16	data	data	NN
cord-258235-khdyxiwe	35	17	-	-	HYPH
cord-258235-khdyxiwe	35	18	driven	drive	VBN
cord-258235-khdyxiwe	35	19	analysis	analysis	NN
cord-258235-khdyxiwe	35	20	is	be	VBZ
cord-258235-khdyxiwe	35	21	to	to	TO
cord-258235-khdyxiwe	35	22	provide	provide	VB
cord-258235-khdyxiwe	35	23	government	government	NN
cord-258235-khdyxiwe	35	24	officials	official	NNS
cord-258235-khdyxiwe	35	25	with	with	IN
cord-258235-khdyxiwe	35	26	realistic	realistic	JJ
cord-258235-khdyxiwe	35	27	estimates	estimate	NNS
cord-258235-khdyxiwe	35	28	for	for	IN
cord-258235-khdyxiwe	35	29	the	the	DT
cord-258235-khdyxiwe	35	30	magnitude	magnitude	NN
cord-258235-khdyxiwe	35	31	of	of	IN
cord-258235-khdyxiwe	35	32	the	the	DT
cord-258235-khdyxiwe	35	33	epidemic	epidemic	NN
cord-258235-khdyxiwe	35	34	for	for	IN
cord-258235-khdyxiwe	35	35	policy	policy	NN
cord-258235-khdyxiwe	35	36	-	-	HYPH
cord-258235-khdyxiwe	35	37	making	making	NN
cord-258235-khdyxiwe	35	38	.	.	.
cord-258235-khdyxiwe	36	1	The	the	DT
cord-258235-khdyxiwe	36	2	second	second	JJ
cord-258235-khdyxiwe	36	3	problem	problem	NN
cord-258235-khdyxiwe	36	4	is	be	VBZ
cord-258235-khdyxiwe	36	5	connected	connect	VBN
cord-258235-khdyxiwe	36	6	with	with	IN
cord-258235-khdyxiwe	36	7	the	the	DT
cord-258235-khdyxiwe	36	8	global	global	JJ
cord-258235-khdyxiwe	36	9	concern	concern	NN
cord-258235-khdyxiwe	36	10	of	of	IN
cord-258235-khdyxiwe	36	11	health	health	NN
cord-258235-khdyxiwe	36	12	and	and	CC
cord-258235-khdyxiwe	36	13	mortality	mortality	NN
cord-258235-khdyxiwe	36	14	due	due	IN
cord-258235-khdyxiwe	36	15	to	to	IN
cord-258235-khdyxiwe	36	16	the	the	DT
cord-258235-khdyxiwe	36	17	significant	significant	JJ
cord-258235-khdyxiwe	36	18	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	36	19	outbreaks	outbreak	NNS
cord-258235-khdyxiwe	36	20	.	.	.
cord-258235-khdyxiwe	37	1	Mortality	mortality	NN
cord-258235-khdyxiwe	37	2	is	be	VBZ
cord-258235-khdyxiwe	37	3	crudely	crudely	RB
cord-258235-khdyxiwe	37	4	estimated	estimate	VBN
cord-258235-khdyxiwe	37	5	using	use	VBG
cord-258235-khdyxiwe	37	6	a	a	DT
cord-258235-khdyxiwe	37	7	statistic	statistic	NN
cord-258235-khdyxiwe	37	8	,	,	,
cord-258235-khdyxiwe	37	9	the	the	DT
cord-258235-khdyxiwe	37	10	case	case	NN
cord-258235-khdyxiwe	37	11	fatality	fatality	NN
cord-258235-khdyxiwe	37	12	rate	rate	NN
cord-258235-khdyxiwe	37	13	(	(	-LRB-
cord-258235-khdyxiwe	37	14	CFR	CFR	NNP
cord-258235-khdyxiwe	37	15	)	)	-RRB-
cord-258235-khdyxiwe	37	16	,	,	,
cord-258235-khdyxiwe	37	17	which	which	WDT
cord-258235-khdyxiwe	37	18	divides	divide	VBZ
cord-258235-khdyxiwe	37	19	the	the	DT
cord-258235-khdyxiwe	37	20	number	number	NN
cord-258235-khdyxiwe	37	21	of	of	IN
cord-258235-khdyxiwe	37	22	known	know	VBN
cord-258235-khdyxiwe	37	23	deaths	death	NNS
cord-258235-khdyxiwe	37	24	by	by	IN
cord-258235-khdyxiwe	37	25	the	the	DT
cord-258235-khdyxiwe	37	26	total	total	JJ
cord-258235-khdyxiwe	37	27	number	number	NN
cord-258235-khdyxiwe	37	28	of	of	IN
cord-258235-khdyxiwe	37	29	identified	identify	VBN
cord-258235-khdyxiwe	37	30	cases	case	NNS
cord-258235-khdyxiwe	37	31	[	[	-LRB-
cord-258235-khdyxiwe	37	32	18	18	CD
cord-258235-khdyxiwe	37	33	;	;	:
cord-258235-khdyxiwe	37	34	5	5	CD
cord-258235-khdyxiwe	37	35	;	;	:
cord-258235-khdyxiwe	37	36	30	30	CD
cord-258235-khdyxiwe	37	37	]	]	-RRB-
cord-258235-khdyxiwe	37	38	.	.	.
cord-258235-khdyxiwe	38	1	During	during	IN
cord-258235-khdyxiwe	38	2	the	the	DT
cord-258235-khdyxiwe	38	3	current	current	JJ
cord-258235-khdyxiwe	38	4	phase	phase	NN
cord-258235-khdyxiwe	38	5	of	of	IN
cord-258235-khdyxiwe	38	6	this	this	DT
cord-258235-khdyxiwe	38	7	global	global	JJ
cord-258235-khdyxiwe	38	8	pandemic	pandemic	NN
cord-258235-khdyxiwe	38	9	,	,	,
cord-258235-khdyxiwe	38	10	it	-PRON-	PRP
cord-258235-khdyxiwe	38	11	is	be	VBZ
cord-258235-khdyxiwe	38	12	criti	criti	VBN
cord-258235-khdyxiwe	38	13	-	-	:
cord-258235-khdyxiwe	38	14	cally	cally	RB
cord-258235-khdyxiwe	38	15	important	important	JJ
cord-258235-khdyxiwe	38	16	to	to	TO
cord-258235-khdyxiwe	38	17	obtain	obtain	VB
cord-258235-khdyxiwe	38	18	reliable	reliable	JJ
cord-258235-khdyxiwe	38	19	estimates	estimate	NNS
cord-258235-khdyxiwe	38	20	of	of	IN
cord-258235-khdyxiwe	38	21	the	the	DT
cord-258235-khdyxiwe	38	22	overall	overall	JJ
cord-258235-khdyxiwe	38	23	CFR	CFR	NNP
cord-258235-khdyxiwe	38	24	.	.	.
cord-258235-khdyxiwe	39	1	The	the	DT
cord-258235-khdyxiwe	39	2	estimates	estimate	NNS
cord-258235-khdyxiwe	39	3	of	of	IN
cord-258235-khdyxiwe	39	4	CFR	CFR	NNP
cord-258235-khdyxiwe	39	5	are	be	VBP
cord-258235-khdyxiwe	39	6	highly	highly	RB
cord-258235-khdyxiwe	39	7	dependent	dependent	JJ
cord-258235-khdyxiwe	39	8	on	on	IN
cord-258235-khdyxiwe	39	9	several	several	JJ
cord-258235-khdyxiwe	39	10	country	country	NN
cord-258235-khdyxiwe	39	11	-	-	HYPH
cord-258235-khdyxiwe	39	12	specific	specific	JJ
cord-258235-khdyxiwe	39	13	demographic	demographic	JJ
cord-258235-khdyxiwe	39	14	parameters	parameter	NNS
cord-258235-khdyxiwe	39	15	and	and	CC
cord-258235-khdyxiwe	39	16	various	various	JJ
cord-258235-khdyxiwe	39	17	disease	disease	NN
cord-258235-khdyxiwe	39	18	characteristics	characteristic	NNS
cord-258235-khdyxiwe	39	19	.	.	.
cord-258235-khdyxiwe	40	1	A	a	DT
cord-258235-khdyxiwe	40	2	key	key	JJ
cord-258235-khdyxiwe	40	3	differentiation	differentiation	NN
cord-258235-khdyxiwe	40	4	among	among	IN
cord-258235-khdyxiwe	40	5	the	the	DT
cord-258235-khdyxiwe	40	6	CFR	CFR	NNP
cord-258235-khdyxiwe	40	7	of	of	IN
cord-258235-khdyxiwe	40	8	different	different	JJ
cord-258235-khdyxiwe	40	9	countries	country	NNS
cord-258235-khdyxiwe	40	10	can	can	MD
cord-258235-khdyxiwe	40	11	be	be	VB
cord-258235-khdyxiwe	40	12	found	find	VBN
cord-258235-khdyxiwe	40	13	by	by	IN
cord-258235-khdyxiwe	40	14	determining	determine	VBG
cord-258235-khdyxiwe	40	15	an	an	DT
cord-258235-khdyxiwe	40	16	exhaustive	exhaustive	JJ
cord-258235-khdyxiwe	40	17	list	list	NN
cord-258235-khdyxiwe	40	18	of	of	IN
cord-258235-khdyxiwe	40	19	causal	causal	JJ
cord-258235-khdyxiwe	40	20	variables	variable	NNS
cord-258235-khdyxiwe	40	21	that	that	WDT
cord-258235-khdyxiwe	40	22	significantly	significantly	RB
cord-258235-khdyxiwe	40	23	affect	affect	VBP
cord-258235-khdyxiwe	40	24	CFR	CFR	NNP
cord-258235-khdyxiwe	40	25	.	.	.
cord-258235-khdyxiwe	41	1	In	in	IN
cord-258235-khdyxiwe	41	2	this	this	DT
cord-258235-khdyxiwe	41	3	work	work	NN
cord-258235-khdyxiwe	41	4	,	,	,
cord-258235-khdyxiwe	41	5	we	-PRON-	PRP
cord-258235-khdyxiwe	41	6	put	put	VBD
cord-258235-khdyxiwe	41	7	an	an	DT
cord-258235-khdyxiwe	41	8	effort	effort	NN
cord-258235-khdyxiwe	41	9	to	to	TO
cord-258235-khdyxiwe	41	10	identify	identify	VB
cord-258235-khdyxiwe	41	11	critical	critical	JJ
cord-258235-khdyxiwe	41	12	parameters	parameter	NNS
cord-258235-khdyxiwe	41	13	that	that	WDT
cord-258235-khdyxiwe	41	14	may	may	MD
cord-258235-khdyxiwe	41	15	help	help	VB
cord-258235-khdyxiwe	41	16	to	to	TO
cord-258235-khdyxiwe	41	17	assess	assess	VB
cord-258235-khdyxiwe	41	18	the	the	DT
cord-258235-khdyxiwe	41	19	risk	risk	NN
cord-258235-khdyxiwe	41	20	(	(	-LRB-
cord-258235-khdyxiwe	41	21	in	in	IN
cord-258235-khdyxiwe	41	22	terms	term	NNS
cord-258235-khdyxiwe	41	23	of	of	IN
cord-258235-khdyxiwe	41	24	CFR	CFR	NNP
cord-258235-khdyxiwe	41	25	)	)	-RRB-
cord-258235-khdyxiwe	41	26	using	use	VBG
cord-258235-khdyxiwe	41	27	an	an	DT
cord-258235-khdyxiwe	41	28	optimal	optimal	JJ
cord-258235-khdyxiwe	41	29	regression	regression	NN
cord-258235-khdyxiwe	41	30	tree	tree	NN
cord-258235-khdyxiwe	41	31	model	model	NN
cord-258235-khdyxiwe	41	32	[	[	-LRB-
cord-258235-khdyxiwe	41	33	7	7	CD
cord-258235-khdyxiwe	41	34	]	]	-RRB-
cord-258235-khdyxiwe	41	35	.	.	.
cord-258235-khdyxiwe	42	1	The	the	DT
cord-258235-khdyxiwe	42	2	regression	regression	NN
cord-258235-khdyxiwe	42	3	tree	tree	NN
cord-258235-khdyxiwe	42	4	has	have	VBZ
cord-258235-khdyxiwe	42	5	a	a	DT
cord-258235-khdyxiwe	42	6	built	build	VBN
cord-258235-khdyxiwe	42	7	-	-	HYPH
cord-258235-khdyxiwe	42	8	in	in	RP
cord-258235-khdyxiwe	42	9	variable	variable	JJ
cord-258235-khdyxiwe	42	10	selection	selection	NN
cord-258235-khdyxiwe	42	11	mechanism	mechanism	NN
cord-258235-khdyxiwe	42	12	from	from	IN
cord-258235-khdyxiwe	42	13	high	high	JJ
cord-258235-khdyxiwe	42	14	dimensional	dimensional	JJ
cord-258235-khdyxiwe	42	15	variable	variable	JJ
cord-258235-khdyxiwe	42	16	space	space	NN
cord-258235-khdyxiwe	42	17	and	and	CC
cord-258235-khdyxiwe	42	18	can	can	MD
cord-258235-khdyxiwe	42	19	model	model	VB
cord-258235-khdyxiwe	42	20	arbitrary	arbitrary	JJ
cord-258235-khdyxiwe	42	21	decision	decision	NN
cord-258235-khdyxiwe	42	22	boundaries	boundary	NNS
cord-258235-khdyxiwe	42	23	.	.	.
cord-258235-khdyxiwe	43	1	The	the	DT
cord-258235-khdyxiwe	43	2	regression	regression	NN
cord-258235-khdyxiwe	43	3	tree	tree	NN
cord-258235-khdyxiwe	43	4	combines	combine	VBZ
cord-258235-khdyxiwe	43	5	case	case	NN
cord-258235-khdyxiwe	43	6	estimates	estimate	NNS
cord-258235-khdyxiwe	43	7	,	,	,
cord-258235-khdyxiwe	43	8	epidemiological	epidemiological	JJ
cord-258235-khdyxiwe	43	9	characteristics	characteristic	NNS
cord-258235-khdyxiwe	43	10	of	of	IN
cord-258235-khdyxiwe	43	11	the	the	DT
cord-258235-khdyxiwe	43	12	disease	disease	NN
cord-258235-khdyxiwe	43	13	,	,	,
cord-258235-khdyxiwe	43	14	and	and	CC
cord-258235-khdyxiwe	43	15	heath	heath	NNP
cord-258235-khdyxiwe	43	16	-	-	HYPH
cord-258235-khdyxiwe	43	17	care	care	NN
cord-258235-khdyxiwe	43	18	facilities	facility	NNS
cord-258235-khdyxiwe	43	19	to	to	TO
cord-258235-khdyxiwe	43	20	assess	assess	VB
cord-258235-khdyxiwe	43	21	the	the	DT
cord-258235-khdyxiwe	43	22	risks	risk	NNS
cord-258235-khdyxiwe	43	23	of	of	IN
cord-258235-khdyxiwe	43	24	major	major	JJ
cord-258235-khdyxiwe	43	25	outbreaks	outbreak	NNS
cord-258235-khdyxiwe	43	26	for	for	IN
cord-258235-khdyxiwe	43	27	profoundly	profoundly	RB
cord-258235-khdyxiwe	43	28	affected	affect	VBN
cord-258235-khdyxiwe	43	29	countries	country	NNS
cord-258235-khdyxiwe	43	30	.	.	.
cord-258235-khdyxiwe	44	1	Such	such	JJ
cord-258235-khdyxiwe	44	2	assessments	assessment	NNS
cord-258235-khdyxiwe	44	3	will	will	MD
cord-258235-khdyxiwe	44	4	help	help	VB
cord-258235-khdyxiwe	44	5	to	to	TO
cord-258235-khdyxiwe	44	6	anticipate	anticipate	VB
cord-258235-khdyxiwe	44	7	the	the	DT
cord-258235-khdyxiwe	44	8	expected	expect	VBN
cord-258235-khdyxiwe	44	9	morbidity	morbidity	NN
cord-258235-khdyxiwe	44	10	and	and	CC
cord-258235-khdyxiwe	44	11	mortality	mortality	NN
cord-258235-khdyxiwe	44	12	due	due	IN
cord-258235-khdyxiwe	44	13	to	to	IN
cord-258235-khdyxiwe	44	14	COVID-19	covid-19	VB
cord-258235-khdyxiwe	44	15	and	and	CC
cord-258235-khdyxiwe	44	16	provide	provide	VB
cord-258235-khdyxiwe	44	17	some	some	DT
cord-258235-khdyxiwe	44	18	critical	critical	JJ
cord-258235-khdyxiwe	44	19	information	information	NN
cord-258235-khdyxiwe	44	20	for	for	IN
cord-258235-khdyxiwe	44	21	the	the	DT
cord-258235-khdyxiwe	44	22	planning	planning	NN
cord-258235-khdyxiwe	44	23	of	of	IN
cord-258235-khdyxiwe	44	24	health	health	NN
cord-258235-khdyxiwe	44	25	care	care	NN
cord-258235-khdyxiwe	44	26	systems	system	NNS
cord-258235-khdyxiwe	44	27	in	in	IN
cord-258235-khdyxiwe	44	28	various	various	JJ
cord-258235-khdyxiwe	44	29	countries	country	NNS
cord-258235-khdyxiwe	44	30	facing	face	VBG
cord-258235-khdyxiwe	44	31	this	this	DT
cord-258235-khdyxiwe	44	32	epidemic	epidemic	NN
cord-258235-khdyxiwe	44	33	.	.	.
cord-258235-khdyxiwe	45	1	The	the	DT
cord-258235-khdyxiwe	45	2	rest	rest	NN
cord-258235-khdyxiwe	45	3	of	of	IN
cord-258235-khdyxiwe	45	4	the	the	DT
cord-258235-khdyxiwe	45	5	paper	paper	NN
cord-258235-khdyxiwe	45	6	is	be	VBZ
cord-258235-khdyxiwe	45	7	organized	organize	VBN
cord-258235-khdyxiwe	45	8	as	as	IN
cord-258235-khdyxiwe	45	9	follows	follow	NNS
cord-258235-khdyxiwe	45	10	.	.	.
cord-258235-khdyxiwe	46	1	In	in	IN
cord-258235-khdyxiwe	46	2	Section	section	NN
cord-258235-khdyxiwe	46	3	2	2	CD
cord-258235-khdyxiwe	46	4	,	,	,
cord-258235-khdyxiwe	46	5	we	-PRON-	PRP
cord-258235-khdyxiwe	46	6	discuss	discuss	VBP
cord-258235-khdyxiwe	46	7	the	the	DT
cord-258235-khdyxiwe	46	8	data	datum	NNS
cord-258235-khdyxiwe	46	9	,	,	,
cord-258235-khdyxiwe	46	10	development	development	NN
cord-258235-khdyxiwe	46	11	of	of	IN
cord-258235-khdyxiwe	46	12	the	the	DT
cord-258235-khdyxiwe	46	13	hybrid	hybrid	JJ
cord-258235-khdyxiwe	46	14	model	model	NN
cord-258235-khdyxiwe	46	15	,	,	,
cord-258235-khdyxiwe	46	16	and	and	CC
cord-258235-khdyxiwe	46	17	experimental	experimental	JJ
cord-258235-khdyxiwe	46	18	results	result	NNS
cord-258235-khdyxiwe	46	19	for	for	IN
cord-258235-khdyxiwe	46	20	short	short	JJ
cord-258235-khdyxiwe	46	21	-	-	HYPH
cord-258235-khdyxiwe	46	22	term	term	NN
cord-258235-khdyxiwe	46	23	forecasts	forecast	NNS
cord-258235-khdyxiwe	46	24	of	of	IN
cord-258235-khdyxiwe	46	25	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	46	26	for	for	IN
cord-258235-khdyxiwe	46	27	Canada	Canada	NNP
cord-258235-khdyxiwe	46	28	,	,	,
cord-258235-khdyxiwe	46	29	France	France	NNP
cord-258235-khdyxiwe	46	30	,	,	,
cord-258235-khdyxiwe	46	31	India	India	NNP
cord-258235-khdyxiwe	46	32	,	,	,
cord-258235-khdyxiwe	46	33	South	South	NNP
cord-258235-khdyxiwe	46	34	Korea	Korea	NNP
cord-258235-khdyxiwe	46	35	,	,	,
cord-258235-khdyxiwe	46	36	and	and	CC
cord-258235-khdyxiwe	46	37	the	the	DT
cord-258235-khdyxiwe	46	38	UK	UK	NNP
cord-258235-khdyxiwe	46	39	.	.	.
cord-258235-khdyxiwe	47	1	In	in	IN
cord-258235-khdyxiwe	47	2	Section	section	NN
cord-258235-khdyxiwe	47	3	3	3	CD
cord-258235-khdyxiwe	47	4	,	,	,
cord-258235-khdyxiwe	47	5	country	country	NN
cord-258235-khdyxiwe	47	6	-	-	HYPH
cord-258235-khdyxiwe	47	7	wise	wise	JJ
cord-258235-khdyxiwe	47	8	CFR	CFR	NNP
cord-258235-khdyxiwe	47	9	datasets	dataset	NNS
cord-258235-khdyxiwe	47	10	,	,	,
cord-258235-khdyxiwe	47	11	method	method	NN
cord-258235-khdyxiwe	47	12	,	,	,
cord-258235-khdyxiwe	47	13	and	and	CC
cord-258235-khdyxiwe	47	14	results	result	NNS
cord-258235-khdyxiwe	47	15	for	for	IN
cord-258235-khdyxiwe	47	16	finding	find	VBG
cord-258235-khdyxiwe	47	17	critical	critical	JJ
cord-258235-khdyxiwe	47	18	parameters	parameter	NNS
cord-258235-khdyxiwe	47	19	are	be	VBP
cord-258235-khdyxiwe	47	20	presented	present	VBN
cord-258235-khdyxiwe	47	21	.	.	.
cord-258235-khdyxiwe	48	1	We	-PRON-	PRP
cord-258235-khdyxiwe	48	2	discuss	discuss	VBP
cord-258235-khdyxiwe	48	3	the	the	DT
cord-258235-khdyxiwe	48	4	assumptions	assumption	NNS
cord-258235-khdyxiwe	48	5	and	and	CC
cord-258235-khdyxiwe	48	6	limitations	limitation	NNS
cord-258235-khdyxiwe	48	7	of	of	IN
cord-258235-khdyxiwe	48	8	our	-PRON-	PRP$
cord-258235-khdyxiwe	48	9	findings	finding	NNS
cord-258235-khdyxiwe	48	10	in	in	IN
cord-258235-khdyxiwe	48	11	Section	section	NN
cord-258235-khdyxiwe	48	12	4	4	CD
cord-258235-khdyxiwe	48	13	.	.	.
cord-258235-khdyxiwe	49	1	Finally	finally	RB
cord-258235-khdyxiwe	49	2	,	,	,
cord-258235-khdyxiwe	49	3	the	the	DT
cord-258235-khdyxiwe	49	4	discussions	discussion	NNS
cord-258235-khdyxiwe	49	5	about	about	IN
cord-258235-khdyxiwe	49	6	the	the	DT
cord-258235-khdyxiwe	49	7	results	result	NNS
cord-258235-khdyxiwe	49	8	and	and	CC
cord-258235-khdyxiwe	49	9	policy	policy	NN
cord-258235-khdyxiwe	49	10	recommendations	recommendation	NNS
cord-258235-khdyxiwe	49	11	are	be	VBP
cord-258235-khdyxiwe	49	12	given	give	VBN
cord-258235-khdyxiwe	49	13	in	in	IN
cord-258235-khdyxiwe	49	14	Section	section	NN
cord-258235-khdyxiwe	49	15	5	5	CD
cord-258235-khdyxiwe	49	16	.	.	.
cord-258235-khdyxiwe	50	1	We	-PRON-	PRP
cord-258235-khdyxiwe	50	2	focus	focus	VBP
cord-258235-khdyxiwe	50	3	on	on	IN
cord-258235-khdyxiwe	50	4	the	the	DT
cord-258235-khdyxiwe	50	5	daily	daily	JJ
cord-258235-khdyxiwe	50	6	figures	figure	NNS
cord-258235-khdyxiwe	50	7	of	of	IN
cord-258235-khdyxiwe	50	8	confirmed	confirm	VBN
cord-258235-khdyxiwe	50	9	cases	case	NNS
cord-258235-khdyxiwe	50	10	for	for	IN
cord-258235-khdyxiwe	50	11	five	five	CD
cord-258235-khdyxiwe	50	12	different	different	JJ
cord-258235-khdyxiwe	50	13	countries	country	NNS
cord-258235-khdyxiwe	50	14	,	,	,
cord-258235-khdyxiwe	50	15	namely	namely	RB
cord-258235-khdyxiwe	50	16	Canada	Canada	NNP
cord-258235-khdyxiwe	50	17	,	,	,
cord-258235-khdyxiwe	50	18	France	France	NNP
cord-258235-khdyxiwe	50	19	,	,	,
cord-258235-khdyxiwe	50	20	India	India	NNP
cord-258235-khdyxiwe	50	21	,	,	,
cord-258235-khdyxiwe	50	22	South	South	NNP
cord-258235-khdyxiwe	50	23	Korea	Korea	NNP
cord-258235-khdyxiwe	50	24	,	,	,
cord-258235-khdyxiwe	50	25	and	and	CC
cord-258235-khdyxiwe	50	26	the	the	DT
cord-258235-khdyxiwe	50	27	UK	UK	NNP
cord-258235-khdyxiwe	50	28	.	.	.
cord-258235-khdyxiwe	51	1	The	the	DT
cord-258235-khdyxiwe	51	2	datasets	dataset	NNS
cord-258235-khdyxiwe	51	3	are	be	VBP
cord-258235-khdyxiwe	51	4	retrieved	retrieve	VBN
cord-258235-khdyxiwe	51	5	by	by	IN
cord-258235-khdyxiwe	51	6	the	the	DT
cord-258235-khdyxiwe	51	7	Global	Global	NNP
cord-258235-khdyxiwe	51	8	Change	Change	NNP
cord-258235-khdyxiwe	51	9	Data	Data	NNP
cord-258235-khdyxiwe	51	10	Lab	Lab	NNP
cord-258235-khdyxiwe	51	11	1	1	CD
cord-258235-khdyxiwe	51	12	)	)	-RRB-
cord-258235-khdyxiwe	51	13	.	.	.
cord-258235-khdyxiwe	52	1	All	all	PDT
cord-258235-khdyxiwe	52	2	these	these	DT
cord-258235-khdyxiwe	52	3	datasets	dataset	NNS
cord-258235-khdyxiwe	52	4	are	be	VBP
cord-258235-khdyxiwe	52	5	collected	collect	VBN
cord-258235-khdyxiwe	52	6	from	from	IN
cord-258235-khdyxiwe	52	7	the	the	DT
cord-258235-khdyxiwe	52	8	starting	start	VBG
cord-258235-khdyxiwe	52	9	date	date	NN
cord-258235-khdyxiwe	52	10	of	of	IN
cord-258235-khdyxiwe	52	11	the	the	DT
cord-258235-khdyxiwe	52	12	disease	disease	NN
cord-258235-khdyxiwe	52	13	for	for	IN
cord-258235-khdyxiwe	52	14	the	the	DT
cord-258235-khdyxiwe	52	15	respective	respective	JJ
cord-258235-khdyxiwe	52	16	countries	country	NNS
cord-258235-khdyxiwe	52	17	to	to	IN
cord-258235-khdyxiwe	52	18	April	April	NNP
cord-258235-khdyxiwe	52	19	4	4	CD
cord-258235-khdyxiwe	52	20	,	,	,
cord-258235-khdyxiwe	52	21	2020	2020	CD
cord-258235-khdyxiwe	52	22	.	.	.
cord-258235-khdyxiwe	53	1	In	in	IN
cord-258235-khdyxiwe	53	2	this	this	DT
cord-258235-khdyxiwe	53	3	section	section	NN
cord-258235-khdyxiwe	53	4	,	,	,
cord-258235-khdyxiwe	53	5	we	-PRON-	PRP
cord-258235-khdyxiwe	53	6	first	first	RB
cord-258235-khdyxiwe	53	7	briefly	briefly	RB
cord-258235-khdyxiwe	53	8	discuss	discuss	VBP
cord-258235-khdyxiwe	53	9	these	these	DT
cord-258235-khdyxiwe	53	10	datasets	dataset	NNS
cord-258235-khdyxiwe	53	11	,	,	,
cord-258235-khdyxiwe	53	12	followed	follow	VBN
cord-258235-khdyxiwe	53	13	by	by	IN
cord-258235-khdyxiwe	53	14	the	the	DT
cord-258235-khdyxiwe	53	15	development	development	NN
cord-258235-khdyxiwe	53	16	of	of	IN
cord-258235-khdyxiwe	53	17	the	the	DT
cord-258235-khdyxiwe	53	18	proposed	propose	VBN
cord-258235-khdyxiwe	53	19	hybrid	hybrid	NN
cord-258235-khdyxiwe	53	20	model	model	NN
cord-258235-khdyxiwe	53	21	,	,	,
cord-258235-khdyxiwe	53	22	and	and	CC
cord-258235-khdyxiwe	53	23	finally	finally	RB
cord-258235-khdyxiwe	53	24	,	,	,
cord-258235-khdyxiwe	53	25	the	the	DT
cord-258235-khdyxiwe	53	26	application	application	NN
cord-258235-khdyxiwe	53	27	of	of	IN
cord-258235-khdyxiwe	53	28	the	the	DT
cord-258235-khdyxiwe	53	29	proposed	propose	VBN
cord-258235-khdyxiwe	53	30	model	model	NN
cord-258235-khdyxiwe	53	31	to	to	TO
cord-258235-khdyxiwe	53	32	generate	generate	VB
cord-258235-khdyxiwe	53	33	short	short	JJ
cord-258235-khdyxiwe	53	34	-	-	HYPH
cord-258235-khdyxiwe	53	35	term	term	NN
cord-258235-khdyxiwe	53	36	forecasts	forecast	NNS
cord-258235-khdyxiwe	53	37	of	of	IN
cord-258235-khdyxiwe	53	38	the	the	DT
cord-258235-khdyxiwe	53	39	future	future	JJ
cord-258235-khdyxiwe	53	40	COVID-19	covid-19	CD
cord-258235-khdyxiwe	53	41	cases	case	NNS
cord-258235-khdyxiwe	53	42	for	for	IN
cord-258235-khdyxiwe	53	43	five	five	CD
cord-258235-khdyxiwe	53	44	different	different	JJ
cord-258235-khdyxiwe	53	45	countries	country	NNS
cord-258235-khdyxiwe	53	46	.	.	.
cord-258235-khdyxiwe	54	1	All	all	PDT
cord-258235-khdyxiwe	54	2	these	these	DT
cord-258235-khdyxiwe	54	3	datasets	dataset	NNS
cord-258235-khdyxiwe	54	4	and	and	CC
cord-258235-khdyxiwe	54	5	codes	code	NNS
cord-258235-khdyxiwe	54	6	to	to	TO
cord-258235-khdyxiwe	54	7	be	be	VB
cord-258235-khdyxiwe	54	8	used	use	VBN
cord-258235-khdyxiwe	54	9	in	in	IN
cord-258235-khdyxiwe	54	10	this	this	DT
cord-258235-khdyxiwe	54	11	section	section	NN
cord-258235-khdyxiwe	54	12	are	be	VBP
cord-258235-khdyxiwe	54	13	made	make	VBN
cord-258235-khdyxiwe	54	14	publicly	publicly	RB
cord-258235-khdyxiwe	54	15	available	available	JJ
cord-258235-khdyxiwe	54	16	at	at	IN
cord-258235-khdyxiwe	54	17	https://github.com/indrajitg-r/COVID	https://github.com/indrajitg-r/covid	ADD
cord-258235-khdyxiwe	54	18	for	for	IN
cord-258235-khdyxiwe	54	19	the	the	DT
cord-258235-khdyxiwe	54	20	reproducibility	reproducibility	NN
cord-258235-khdyxiwe	54	21	of	of	IN
cord-258235-khdyxiwe	54	22	this	this	DT
cord-258235-khdyxiwe	54	23	work	work	NN
cord-258235-khdyxiwe	54	24	.	.	.
cord-258235-khdyxiwe	55	1	Five	five	CD
cord-258235-khdyxiwe	55	2	univariate	univariate	JJ
cord-258235-khdyxiwe	55	3	time	time	NN
cord-258235-khdyxiwe	55	4	-	-	HYPH
cord-258235-khdyxiwe	55	5	series	series	NN
cord-258235-khdyxiwe	55	6	datasets	dataset	NNS
cord-258235-khdyxiwe	55	7	are	be	VBP
cord-258235-khdyxiwe	55	8	collected	collect	VBN
cord-258235-khdyxiwe	55	9	for	for	IN
cord-258235-khdyxiwe	55	10	the	the	DT
cord-258235-khdyxiwe	55	11	real	real	JJ
cord-258235-khdyxiwe	55	12	-	-	HYPH
cord-258235-khdyxiwe	55	13	time	time	NN
cord-258235-khdyxiwe	55	14	prediction	prediction	NN
cord-258235-khdyxiwe	55	15	purpose	purpose	NN
cord-258235-khdyxiwe	55	16	of	of	IN
cord-258235-khdyxiwe	55	17	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	55	18	cases	case	NNS
cord-258235-khdyxiwe	55	19	for	for	IN
cord-258235-khdyxiwe	55	20	India	India	NNP
cord-258235-khdyxiwe	55	21	,	,	,
cord-258235-khdyxiwe	55	22	Canada	Canada	NNP
cord-258235-khdyxiwe	55	23	,	,	,
cord-258235-khdyxiwe	55	24	France	France	NNP
cord-258235-khdyxiwe	55	25	,	,	,
cord-258235-khdyxiwe	55	26	South	South	NNP
cord-258235-khdyxiwe	55	27	Korea	Korea	NNP
cord-258235-khdyxiwe	55	28	,	,	,
cord-258235-khdyxiwe	55	29	and	and	CC
cord-258235-khdyxiwe	55	30	the	the	DT
cord-258235-khdyxiwe	55	31	UK	UK	NNP
cord-258235-khdyxiwe	55	32	.	.	.
cord-258235-khdyxiwe	56	1	Several	several	JJ
cord-258235-khdyxiwe	56	2	previous	previous	JJ
cord-258235-khdyxiwe	56	3	studies	study	NNS
cord-258235-khdyxiwe	56	4	have	have	VBP
cord-258235-khdyxiwe	56	5	forecasted	forecast	VBN
cord-258235-khdyxiwe	56	6	future	future	JJ
cord-258235-khdyxiwe	56	7	COVID	covid	NN
cord-258235-khdyxiwe	56	8	cases	case	NNS
cord-258235-khdyxiwe	56	9	for	for	IN
cord-258235-khdyxiwe	56	10	China	China	NNP
cord-258235-khdyxiwe	56	11	and	and	CC
cord-258235-khdyxiwe	56	12	a	a	DT
cord-258235-khdyxiwe	56	13	few	few	JJ
cord-258235-khdyxiwe	56	14	other	other	JJ
cord-258235-khdyxiwe	56	15	countries	country	NNS
cord-258235-khdyxiwe	56	16	using	use	VBG
cord-258235-khdyxiwe	56	17	mathematical	mathematical	JJ
cord-258235-khdyxiwe	56	18	and	and	CC
cord-258235-khdyxiwe	56	19	traditional	traditional	JJ
cord-258235-khdyxiwe	56	20	time	time	NN
cord-258235-khdyxiwe	56	21	series	series	NN
cord-258235-khdyxiwe	56	22	forecasting	forecasting	NN
cord-258235-khdyxiwe	56	23	models	model	NNS
cord-258235-khdyxiwe	56	24	,	,	,
cord-258235-khdyxiwe	56	25	for	for	IN
cord-258235-khdyxiwe	56	26	details	detail	NNS
cord-258235-khdyxiwe	56	27	see	see	VBP
cord-258235-khdyxiwe	56	28	[	[	-LRB-
cord-258235-khdyxiwe	56	29	29	29	CD
cord-258235-khdyxiwe	56	30	;	;	:
cord-258235-khdyxiwe	56	31	21	21	CD
cord-258235-khdyxiwe	56	32	;	;	SYM
cord-258235-khdyxiwe	56	33	34	34	CD
cord-258235-khdyxiwe	56	34	;	;	:
cord-258235-khdyxiwe	56	35	20	20	CD
cord-258235-khdyxiwe	56	36	;	;	:
cord-258235-khdyxiwe	56	37	36	36	CD
cord-258235-khdyxiwe	56	38	]	]	-RRB-
cord-258235-khdyxiwe	56	39	.	.	.
cord-258235-khdyxiwe	57	1	We	-PRON-	PRP
cord-258235-khdyxiwe	57	2	try	try	VBP
cord-258235-khdyxiwe	57	3	to	to	TO
cord-258235-khdyxiwe	57	4	nowcast	nowcast	VB
cord-258235-khdyxiwe	57	5	the	the	DT
cord-258235-khdyxiwe	57	6	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	57	7	cases	case	NNS
cord-258235-khdyxiwe	57	8	of	of	IN
cord-258235-khdyxiwe	57	9	five	five	CD
cord-258235-khdyxiwe	57	10	different	different	JJ
cord-258235-khdyxiwe	57	11	countries	country	NNS
cord-258235-khdyxiwe	57	12	based	base	VBN
cord-258235-khdyxiwe	57	13	on	on	IN
cord-258235-khdyxiwe	57	14	their	-PRON-	PRP$
cord-258235-khdyxiwe	57	15	past	past	JJ
cord-258235-khdyxiwe	57	16	cases	case	NNS
cord-258235-khdyxiwe	57	17	.	.	.
cord-258235-khdyxiwe	58	1	For	for	IN
cord-258235-khdyxiwe	58	2	India	India	NNP
cord-258235-khdyxiwe	58	3	and	and	CC
cord-258235-khdyxiwe	58	4	UK	UK	NNP
cord-258235-khdyxiwe	58	5	,	,	,
cord-258235-khdyxiwe	58	6	we	-PRON-	PRP
cord-258235-khdyxiwe	58	7	consider	consider	VBP
cord-258235-khdyxiwe	58	8	the	the	DT
cord-258235-khdyxiwe	58	9	daily	daily	JJ
cord-258235-khdyxiwe	58	10	laboratory	laboratory	NN
cord-258235-khdyxiwe	58	11	-	-	HYPH
cord-258235-khdyxiwe	58	12	confirmed	confirm	VBN
cord-258235-khdyxiwe	58	13	cases	case	NNS
cord-258235-khdyxiwe	58	14	from	from	IN
cord-258235-khdyxiwe	58	15	January	January	NNP
cord-258235-khdyxiwe	58	16	30	30	CD
cord-258235-khdyxiwe	58	17	,	,	,
cord-258235-khdyxiwe	58	18	2020	2020	CD
cord-258235-khdyxiwe	58	19	,	,	,
cord-258235-khdyxiwe	58	20	through	through	IN
cord-258235-khdyxiwe	58	21	April	April	NNP
cord-258235-khdyxiwe	58	22	4	4	CD
cord-258235-khdyxiwe	58	23	,	,	,
cord-258235-khdyxiwe	58	24	2020	2020	CD
cord-258235-khdyxiwe	58	25	and	and	CC
cord-258235-khdyxiwe	58	26	from	from	IN
cord-258235-khdyxiwe	58	27	January	January	NNP
cord-258235-khdyxiwe	58	28	31	31	CD
cord-258235-khdyxiwe	58	29	,	,	,
cord-258235-khdyxiwe	58	30	2020	2020	CD
cord-258235-khdyxiwe	58	31	through	through	IN
cord-258235-khdyxiwe	58	32	April	April	NNP
cord-258235-khdyxiwe	58	33	4	4	CD
cord-258235-khdyxiwe	58	34	,	,	,
cord-258235-khdyxiwe	58	35	2020	2020	CD
cord-258235-khdyxiwe	58	36	,	,	,
cord-258235-khdyxiwe	58	37	respectively	respectively	RB
cord-258235-khdyxiwe	58	38	,	,	,
cord-258235-khdyxiwe	58	39	for	for	IN
cord-258235-khdyxiwe	58	40	model	model	NN
cord-258235-khdyxiwe	58	41	building	building	NN
cord-258235-khdyxiwe	58	42	.	.	.
cord-258235-khdyxiwe	59	1	Daily	Daily	NNP
cord-258235-khdyxiwe	59	2	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	59	3	cases	case	NNS
cord-258235-khdyxiwe	59	4	data	datum	NNS
cord-258235-khdyxiwe	59	5	for	for	IN
cord-258235-khdyxiwe	59	6	Canada	Canada	NNP
cord-258235-khdyxiwe	59	7	,	,	,
cord-258235-khdyxiwe	59	8	France	France	NNP
cord-258235-khdyxiwe	59	9	,	,	,
cord-258235-khdyxiwe	59	10	and	and	CC
cord-258235-khdyxiwe	59	11	South	South	NNP
cord-258235-khdyxiwe	59	12	Korea	Korea	NNP
cord-258235-khdyxiwe	59	13	are	be	VBP
cord-258235-khdyxiwe	59	14	taken	take	VBN
cord-258235-khdyxiwe	59	15	for	for	IN
cord-258235-khdyxiwe	59	16	the	the	DT
cord-258235-khdyxiwe	59	17	time	time	NN
cord-258235-khdyxiwe	59	18	period	period	NN
cord-258235-khdyxiwe	59	19	January	January	NNP
cord-258235-khdyxiwe	59	20	20	20	CD
cord-258235-khdyxiwe	59	21	,	,	,
cord-258235-khdyxiwe	59	22	2020	2020	CD
cord-258235-khdyxiwe	59	23	through	through	IN
cord-258235-khdyxiwe	59	24	April	April	NNP
cord-258235-khdyxiwe	59	25	4	4	CD
cord-258235-khdyxiwe	59	26	,	,	,
cord-258235-khdyxiwe	59	27	2020	2020	CD
cord-258235-khdyxiwe	59	28	,	,	,
cord-258235-khdyxiwe	59	29	January	January	NNP
cord-258235-khdyxiwe	59	30	25	25	CD
cord-258235-khdyxiwe	59	31	,	,	,
cord-258235-khdyxiwe	59	32	2020	2020	CD
cord-258235-khdyxiwe	59	33	through	through	IN
cord-258235-khdyxiwe	59	34	April	April	NNP
cord-258235-khdyxiwe	59	35	4	4	CD
cord-258235-khdyxiwe	59	36	2020	2020	CD
cord-258235-khdyxiwe	59	37	,	,	,
cord-258235-khdyxiwe	59	38	and	and	CC
cord-258235-khdyxiwe	59	39	January	January	NNP
cord-258235-khdyxiwe	59	40	26	26	CD
cord-258235-khdyxiwe	59	41	through	through	IN
cord-258235-khdyxiwe	59	42	April	April	NNP
cord-258235-khdyxiwe	59	43	4	4	CD
cord-258235-khdyxiwe	59	44	2020	2020	CD
cord-258235-khdyxiwe	59	45	,	,	,
cord-258235-khdyxiwe	59	46	respectively	respectively	RB
cord-258235-khdyxiwe	59	47	.	.	.
cord-258235-khdyxiwe	60	1	The	the	DT
cord-258235-khdyxiwe	60	2	dataset	dataset	NN
cord-258235-khdyxiwe	60	3	for	for	IN
cord-258235-khdyxiwe	60	4	India	India	NNP
cord-258235-khdyxiwe	60	5	contains	contain	VBZ
cord-258235-khdyxiwe	60	6	a	a	DT
cord-258235-khdyxiwe	60	7	total	total	NN
cord-258235-khdyxiwe	60	8	of	of	IN
cord-258235-khdyxiwe	60	9	64	64	CD
cord-258235-khdyxiwe	60	10	observations	observation	NNS
cord-258235-khdyxiwe	60	11	,	,	,
cord-258235-khdyxiwe	60	12	65	65	CD
cord-258235-khdyxiwe	60	13	observations	observation	NNS
cord-258235-khdyxiwe	60	14	for	for	IN
cord-258235-khdyxiwe	60	15	the	the	DT
cord-258235-khdyxiwe	60	16	UK	UK	NNP
cord-258235-khdyxiwe	60	17	,	,	,
cord-258235-khdyxiwe	60	18	70	70	CD
cord-258235-khdyxiwe	60	19	observations	observation	NNS
cord-258235-khdyxiwe	60	20	for	for	IN
cord-258235-khdyxiwe	60	21	Canada	Canada	NNP
cord-258235-khdyxiwe	60	22	,	,	,
cord-258235-khdyxiwe	60	23	71	71	CD
cord-258235-khdyxiwe	60	24	observations	observation	NNS
cord-258235-khdyxiwe	60	25	for	for	IN
cord-258235-khdyxiwe	60	26	France	France	NNP
cord-258235-khdyxiwe	60	27	,	,	,
cord-258235-khdyxiwe	60	28	and	and	CC
cord-258235-khdyxiwe	60	29	76	76	CD
cord-258235-khdyxiwe	60	30	for	for	IN
cord-258235-khdyxiwe	60	31	South	South	NNP
cord-258235-khdyxiwe	60	32	Korea	Korea	NNP
cord-258235-khdyxiwe	60	33	.	.	.
cord-258235-khdyxiwe	61	1	For	for	IN
cord-258235-khdyxiwe	61	2	these	these	DT
cord-258235-khdyxiwe	61	3	five	five	CD
cord-258235-khdyxiwe	61	4	countries	country	NNS
cord-258235-khdyxiwe	61	5	the	the	DT
cord-258235-khdyxiwe	61	6	outbreaks	outbreak	NNS
cord-258235-khdyxiwe	61	7	of	of	IN
cord-258235-khdyxiwe	61	8	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	61	9	started	start	VBD
cord-258235-khdyxiwe	61	10	almost	almost	RB
cord-258235-khdyxiwe	61	11	from	from	IN
cord-258235-khdyxiwe	61	12	the	the	DT
cord-258235-khdyxiwe	61	13	same	same	JJ
cord-258235-khdyxiwe	61	14	timeline	timeline	NN
cord-258235-khdyxiwe	61	15	and	and	CC
cord-258235-khdyxiwe	61	16	the	the	DT
cord-258235-khdyxiwe	61	17	epidemic	epidemic	NN
cord-258235-khdyxiwe	61	18	curves	curve	NNS
cord-258235-khdyxiwe	61	19	still	still	RB
cord-258235-khdyxiwe	61	20	not	not	RB
cord-258235-khdyxiwe	61	21	showing	show	VBG
cord-258235-khdyxiwe	61	22	the	the	DT
cord-258235-khdyxiwe	61	23	sharp	sharp	JJ
cord-258235-khdyxiwe	61	24	diminishing	diminish	VBG
cord-258235-khdyxiwe	61	25	nature	nature	NN
cord-258235-khdyxiwe	61	26	,	,	,
cord-258235-khdyxiwe	61	27	just	just	RB
cord-258235-khdyxiwe	61	28	like	like	IN
cord-258235-khdyxiwe	61	29	China	China	NNP
cord-258235-khdyxiwe	61	30	.	.	.
cord-258235-khdyxiwe	62	1	We	-PRON-	PRP
cord-258235-khdyxiwe	62	2	limit	limit	VBP
cord-258235-khdyxiwe	62	3	our	-PRON-	PRP$
cord-258235-khdyxiwe	62	4	attention	attention	NN
cord-258235-khdyxiwe	62	5	to	to	IN
cord-258235-khdyxiwe	62	6	trended	trended	JJ
cord-258235-khdyxiwe	62	7	and	and	CC
cord-258235-khdyxiwe	62	8	non	non	JJ
cord-258235-khdyxiwe	62	9	-	-	JJ
cord-258235-khdyxiwe	62	10	seasonal	seasonal	JJ
cord-258235-khdyxiwe	62	11	models	model	NNS
cord-258235-khdyxiwe	62	12	,	,	,
cord-258235-khdyxiwe	62	13	given	give	VBN
cord-258235-khdyxiwe	62	14	the	the	DT
cord-258235-khdyxiwe	62	15	patterns	pattern	NNS
cord-258235-khdyxiwe	62	16	,	,	,
cord-258235-khdyxiwe	62	17	observed	observe	VBN
cord-258235-khdyxiwe	62	18	in	in	IN
cord-258235-khdyxiwe	62	19	Table	Table	NNP
cord-258235-khdyxiwe	62	20	1	1	CD
cord-258235-khdyxiwe	62	21	.	.	.
cord-258235-khdyxiwe	63	1	Note	note	VB
cord-258235-khdyxiwe	63	2	that	that	IN
cord-258235-khdyxiwe	63	3	we	-PRON-	PRP
cord-258235-khdyxiwe	63	4	follow	follow	VBP
cord-258235-khdyxiwe	63	5	a	a	DT
cord-258235-khdyxiwe	63	6	pragmatic	pragmatic	JJ
cord-258235-khdyxiwe	63	7	approach	approach	NN
cord-258235-khdyxiwe	63	8	in	in	IN
cord-258235-khdyxiwe	63	9	that	that	IN
cord-258235-khdyxiwe	63	10	we	-PRON-	PRP
cord-258235-khdyxiwe	63	11	assume	assume	VBP
cord-258235-khdyxiwe	63	12	that	that	IN
cord-258235-khdyxiwe	63	13	the	the	DT
cord-258235-khdyxiwe	63	14	trend	trend	NN
cord-258235-khdyxiwe	63	15	will	will	MD
cord-258235-khdyxiwe	63	16	continue	continue	VB
cord-258235-khdyxiwe	63	17	indefinitely	indefinitely	RB
cord-258235-khdyxiwe	63	18	in	in	IN
cord-258235-khdyxiwe	63	19	the	the	DT
cord-258235-khdyxiwe	63	20	future	future	NN
cord-258235-khdyxiwe	63	21	in	in	IN
cord-258235-khdyxiwe	63	22	contradiction	contradiction	NN
cord-258235-khdyxiwe	63	23	with	with	IN
cord-258235-khdyxiwe	63	24	other	other	JJ
cord-258235-khdyxiwe	63	25	S	s	NN
cord-258235-khdyxiwe	63	26	-	-	HYPH
cord-258235-khdyxiwe	63	27	curve	curve	NN
cord-258235-khdyxiwe	63	28	or	or	CC
cord-258235-khdyxiwe	63	29	deterministic	deterministic	JJ
cord-258235-khdyxiwe	63	30	SIR	SIR	NNP
cord-258235-khdyxiwe	63	31	modeling	modeling	NN
cord-258235-khdyxiwe	63	32	approaches	approach	NNS
cord-258235-khdyxiwe	63	33	which	which	WDT
cord-258235-khdyxiwe	63	34	assume	assume	VBP
cord-258235-khdyxiwe	63	35	convergence	convergence	NN
cord-258235-khdyxiwe	63	36	.	.	.
cord-258235-khdyxiwe	64	1	Training	training	NN
cord-258235-khdyxiwe	64	2	data	datum	NNS
cord-258235-khdyxiwe	64	3	ACF	ACF	NNP
cord-258235-khdyxiwe	64	4	plot	plot	NN
cord-258235-khdyxiwe	64	5	PACF	PACF	NNP
cord-258235-khdyxiwe	64	6	plot	plot	NN
cord-258235-khdyxiwe	64	7	 	 	_SP
cord-258235-khdyxiwe	65	1	To	to	TO
cord-258235-khdyxiwe	65	2	forecast	forecast	VB
cord-258235-khdyxiwe	65	3	confirmed	confirmed	JJ
cord-258235-khdyxiwe	65	4	cases	case	NNS
cord-258235-khdyxiwe	65	5	of	of	IN
cord-258235-khdyxiwe	65	6	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	65	7	,	,	,
cord-258235-khdyxiwe	65	8	we	-PRON-	PRP
cord-258235-khdyxiwe	65	9	adopt	adopt	VBP
cord-258235-khdyxiwe	65	10	hybrid	hybrid	JJ
cord-258235-khdyxiwe	65	11	time	time	NN
cord-258235-khdyxiwe	65	12	series	series	NN
cord-258235-khdyxiwe	65	13	forecasting	forecasting	NN
cord-258235-khdyxiwe	65	14	approaches	approach	NNS
cord-258235-khdyxiwe	65	15	combining	combine	VBG
cord-258235-khdyxiwe	65	16	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	65	17	and	and	CC
cord-258235-khdyxiwe	65	18	wavelet	wavelet	NN
cord-258235-khdyxiwe	65	19	-	-	HYPH
cord-258235-khdyxiwe	65	20	based	base	VBN
cord-258235-khdyxiwe	65	21	forecasting	forecasting	NN
cord-258235-khdyxiwe	65	22	techniques	technique	NNS
cord-258235-khdyxiwe	65	23	.	.	.
cord-258235-khdyxiwe	66	1	The	the	DT
cord-258235-khdyxiwe	66	2	proposed	propose	VBN
cord-258235-khdyxiwe	66	3	hybrid	hybrid	NN
cord-258235-khdyxiwe	66	4	model	model	NN
cord-258235-khdyxiwe	66	5	overcome	overcome	VBP
cord-258235-khdyxiwe	66	6	the	the	DT
cord-258235-khdyxiwe	66	7	deficiencies	deficiency	NNS
cord-258235-khdyxiwe	66	8	of	of	IN
cord-258235-khdyxiwe	66	9	the	the	DT
cord-258235-khdyxiwe	66	10	single	single	JJ
cord-258235-khdyxiwe	66	11	time	time	NN
cord-258235-khdyxiwe	66	12	series	series	NN
cord-258235-khdyxiwe	66	13	models	model	NNS
cord-258235-khdyxiwe	66	14	.	.	.
cord-258235-khdyxiwe	67	1	Before	before	IN
cord-258235-khdyxiwe	67	2	describing	describe	VBG
cord-258235-khdyxiwe	67	3	the	the	DT
cord-258235-khdyxiwe	67	4	proposed	propose	VBN
cord-258235-khdyxiwe	67	5	methodology	methodology	NN
cord-258235-khdyxiwe	67	6	,	,	,
cord-258235-khdyxiwe	67	7	we	-PRON-	PRP
cord-258235-khdyxiwe	67	8	give	give	VBP
cord-258235-khdyxiwe	67	9	a	a	DT
cord-258235-khdyxiwe	67	10	brief	brief	JJ
cord-258235-khdyxiwe	67	11	description	description	NN
cord-258235-khdyxiwe	67	12	of	of	IN
cord-258235-khdyxiwe	67	13	the	the	DT
cord-258235-khdyxiwe	67	14	individual	individual	JJ
cord-258235-khdyxiwe	67	15	models	model	NNS
cord-258235-khdyxiwe	67	16	to	to	TO
cord-258235-khdyxiwe	67	17	be	be	VB
cord-258235-khdyxiwe	67	18	used	use	VBN
cord-258235-khdyxiwe	67	19	in	in	IN
cord-258235-khdyxiwe	67	20	the	the	DT
cord-258235-khdyxiwe	67	21	hybridization	hybridization	NN
cord-258235-khdyxiwe	67	22	.	.	.
cord-258235-khdyxiwe	68	1	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	68	2	is	be	VBZ
cord-258235-khdyxiwe	68	3	a	a	DT
cord-258235-khdyxiwe	68	4	classical	classical	JJ
cord-258235-khdyxiwe	68	5	time	time	NN
cord-258235-khdyxiwe	68	6	series	series	NN
cord-258235-khdyxiwe	68	7	model	model	NN
cord-258235-khdyxiwe	68	8	,	,	,
cord-258235-khdyxiwe	68	9	used	use	VBN
cord-258235-khdyxiwe	68	10	for	for	IN
cord-258235-khdyxiwe	68	11	tracking	track	VBG
cord-258235-khdyxiwe	68	12	linear	linear	JJ
cord-258235-khdyxiwe	68	13	tendencies	tendency	NNS
cord-258235-khdyxiwe	68	14	in	in	IN
cord-258235-khdyxiwe	68	15	stationary	stationary	JJ
cord-258235-khdyxiwe	68	16	time	time	NN
cord-258235-khdyxiwe	68	17	series	series	NNP
cord-258235-khdyxiwe	68	18	data	datum	NNS
cord-258235-khdyxiwe	68	19	.	.	.
cord-258235-khdyxiwe	69	1	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	69	2	model	model	NN
cord-258235-khdyxiwe	69	3	is	be	VBZ
cord-258235-khdyxiwe	69	4	denoted	denote	VBN
cord-258235-khdyxiwe	69	5	by	by	IN
cord-258235-khdyxiwe	69	6	ARIMA(p	arima(p	NN
cord-258235-khdyxiwe	69	7	,	,	,
cord-258235-khdyxiwe	69	8	d	d	NNP
cord-258235-khdyxiwe	69	9	,	,	,
cord-258235-khdyxiwe	69	10	q	q	NNP
cord-258235-khdyxiwe	69	11	)	)	-RRB-
cord-258235-khdyxiwe	69	12	.	.	.
cord-258235-khdyxiwe	70	1	The	the	DT
cord-258235-khdyxiwe	70	2	parameters	parameter	NNS
cord-258235-khdyxiwe	70	3	p	p	NN
cord-258235-khdyxiwe	70	4	and	and	CC
cord-258235-khdyxiwe	70	5	q	q	NNP
cord-258235-khdyxiwe	70	6	are	be	VBP
cord-258235-khdyxiwe	70	7	the	the	DT
cord-258235-khdyxiwe	70	8	order	order	NN
cord-258235-khdyxiwe	70	9	of	of	IN
cord-258235-khdyxiwe	70	10	the	the	DT
cord-258235-khdyxiwe	70	11	AR	AR	NNP
cord-258235-khdyxiwe	70	12	model	model	NN
cord-258235-khdyxiwe	70	13	and	and	CC
cord-258235-khdyxiwe	70	14	the	the	DT
cord-258235-khdyxiwe	70	15	MA	MA	NNP
cord-258235-khdyxiwe	70	16	model	model	NN
cord-258235-khdyxiwe	70	17	respectively	respectively	RB
cord-258235-khdyxiwe	70	18	,	,	,
cord-258235-khdyxiwe	70	19	and	and	CC
cord-258235-khdyxiwe	70	20	d	d	NN
cord-258235-khdyxiwe	70	21	is	be	VBZ
cord-258235-khdyxiwe	70	22	the	the	DT
cord-258235-khdyxiwe	70	23	level	level	NN
cord-258235-khdyxiwe	70	24	of	of	IN
cord-258235-khdyxiwe	70	25	differencing	differencing	NN
cord-258235-khdyxiwe	70	26	[	[	-LRB-
cord-258235-khdyxiwe	70	27	9	9	CD
cord-258235-khdyxiwe	70	28	]	]	-RRB-
cord-258235-khdyxiwe	70	29	.	.	.
cord-258235-khdyxiwe	71	1	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	71	2	model	model	NN
cord-258235-khdyxiwe	71	3	can	can	MD
cord-258235-khdyxiwe	71	4	be	be	VB
cord-258235-khdyxiwe	71	5	mathematically	mathematically	RB
cord-258235-khdyxiwe	71	6	expressed	express	VBN
cord-258235-khdyxiwe	71	7	as	as	IN
cord-258235-khdyxiwe	71	8	follows	follow	VBZ
cord-258235-khdyxiwe	71	9	:	:	:
cord-258235-khdyxiwe	72	1	where	where	WRB
cord-258235-khdyxiwe	72	2	y	y	NNP
cord-258235-khdyxiwe	72	3	t	t	NNP
cord-258235-khdyxiwe	72	4	denotes	denote	VBZ
cord-258235-khdyxiwe	72	5	the	the	DT
cord-258235-khdyxiwe	72	6	actual	actual	JJ
cord-258235-khdyxiwe	72	7	value	value	NN
cord-258235-khdyxiwe	72	8	of	of	IN
cord-258235-khdyxiwe	72	9	the	the	DT
cord-258235-khdyxiwe	72	10	variable	variable	NN
cord-258235-khdyxiwe	72	11	under	under	IN
cord-258235-khdyxiwe	72	12	consideration	consideration	NN
cord-258235-khdyxiwe	72	13	at	at	IN
cord-258235-khdyxiwe	72	14	time	time	NN
cord-258235-khdyxiwe	72	15	t	t	NNP
cord-258235-khdyxiwe	72	16	,	,	,
cord-258235-khdyxiwe	72	17	ε	ε	NNP
cord-258235-khdyxiwe	72	18	t	t	NNP
cord-258235-khdyxiwe	72	19	is	be	VBZ
cord-258235-khdyxiwe	72	20	the	the	DT
cord-258235-khdyxiwe	72	21	random	random	JJ
cord-258235-khdyxiwe	72	22	error	error	NN
cord-258235-khdyxiwe	72	23	at	at	IN
cord-258235-khdyxiwe	72	24	time	time	NN
cord-258235-khdyxiwe	73	1	t.	t.	NNP
cord-258235-khdyxiwe	74	1	The	the	DT
cord-258235-khdyxiwe	74	2	φ	φ	NN
cord-258235-khdyxiwe	74	3	i	i	NN
cord-258235-khdyxiwe	74	4	and	and	CC
cord-258235-khdyxiwe	74	5	θ	θ	NNP
cord-258235-khdyxiwe	74	6	j	j	NNP
cord-258235-khdyxiwe	74	7	are	be	VBP
cord-258235-khdyxiwe	74	8	the	the	DT
cord-258235-khdyxiwe	74	9	coefficients	coefficient	NNS
cord-258235-khdyxiwe	74	10	of	of	IN
cord-258235-khdyxiwe	74	11	the	the	DT
cord-258235-khdyxiwe	74	12	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	74	13	model	model	NN
cord-258235-khdyxiwe	74	14	.	.	.
cord-258235-khdyxiwe	75	1	The	the	DT
cord-258235-khdyxiwe	75	2	basic	basic	JJ
cord-258235-khdyxiwe	75	3	assumption	assumption	NN
cord-258235-khdyxiwe	75	4	made	make	VBN
cord-258235-khdyxiwe	75	5	by	by	IN
cord-258235-khdyxiwe	75	6	the	the	DT
cord-258235-khdyxiwe	75	7	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	75	8	model	model	NN
cord-258235-khdyxiwe	75	9	is	be	VBZ
cord-258235-khdyxiwe	75	10	that	that	IN
cord-258235-khdyxiwe	75	11	the	the	DT
cord-258235-khdyxiwe	75	12	error	error	NN
cord-258235-khdyxiwe	75	13	series	series	NN
cord-258235-khdyxiwe	75	14	follows	follow	VBZ
cord-258235-khdyxiwe	75	15	zero	zero	CD
cord-258235-khdyxiwe	75	16	mean	mean	NN
cord-258235-khdyxiwe	75	17	with	with	IN
cord-258235-khdyxiwe	75	18	constant	constant	JJ
cord-258235-khdyxiwe	75	19	variance	variance	NN
cord-258235-khdyxiwe	75	20	,	,	,
cord-258235-khdyxiwe	75	21	and	and	CC
cord-258235-khdyxiwe	75	22	satisfies	satisfy	VBZ
cord-258235-khdyxiwe	75	23	the	the	DT
cord-258235-khdyxiwe	75	24	i.i.d	i.i.d	JJ
cord-258235-khdyxiwe	75	25	condition	condition	NN
cord-258235-khdyxiwe	75	26	.	.	.
cord-258235-khdyxiwe	76	1	Building	build	VBG
cord-258235-khdyxiwe	76	2	an	an	DT
cord-258235-khdyxiwe	76	3	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	76	4	model	model	NN
cord-258235-khdyxiwe	76	5	for	for	IN
cord-258235-khdyxiwe	76	6	any	any	DT
cord-258235-khdyxiwe	76	7	given	give	VBN
cord-258235-khdyxiwe	76	8	time	time	NN
cord-258235-khdyxiwe	76	9	series	series	NN
cord-258235-khdyxiwe	76	10	dataset	dataset	NN
cord-258235-khdyxiwe	76	11	can	can	MD
cord-258235-khdyxiwe	76	12	be	be	VB
cord-258235-khdyxiwe	76	13	described	describe	VBN
cord-258235-khdyxiwe	76	14	in	in	IN
cord-258235-khdyxiwe	76	15	three	three	CD
cord-258235-khdyxiwe	76	16	iterative	iterative	JJ
cord-258235-khdyxiwe	76	17	steps	step	NNS
cord-258235-khdyxiwe	76	18	:	:	:
cord-258235-khdyxiwe	76	19	model	model	NN
cord-258235-khdyxiwe	76	20	identification	identification	NN
cord-258235-khdyxiwe	76	21	(	(	-LRB-
cord-258235-khdyxiwe	76	22	achieving	achieve	VBG
cord-258235-khdyxiwe	76	23	stationarity	stationarity	NN
cord-258235-khdyxiwe	76	24	)	)	-RRB-
cord-258235-khdyxiwe	76	25	,	,	,
cord-258235-khdyxiwe	76	26	parameter	parameter	NN
cord-258235-khdyxiwe	76	27	estimation	estimation	NN
cord-258235-khdyxiwe	76	28	(	(	-LRB-
cord-258235-khdyxiwe	76	29	the	the	DT
cord-258235-khdyxiwe	76	30	autocorrelation	autocorrelation	NN
cord-258235-khdyxiwe	76	31	function	function	NN
cord-258235-khdyxiwe	76	32	(	(	-LRB-
cord-258235-khdyxiwe	76	33	ACF	ACF	NNP
cord-258235-khdyxiwe	76	34	)	)	-RRB-
cord-258235-khdyxiwe	76	35	and	and	CC
cord-258235-khdyxiwe	76	36	the	the	DT
cord-258235-khdyxiwe	76	37	partial	partial	JJ
cord-258235-khdyxiwe	76	38	autocorrelation	autocorrelation	NN
cord-258235-khdyxiwe	76	39	function	function	NN
cord-258235-khdyxiwe	76	40	(	(	-LRB-
cord-258235-khdyxiwe	76	41	PACF	PACF	NNP
cord-258235-khdyxiwe	76	42	)	)	-RRB-
cord-258235-khdyxiwe	76	43	plots	plot	NNS
cord-258235-khdyxiwe	76	44	are	be	VBP
cord-258235-khdyxiwe	76	45	used	use	VBN
cord-258235-khdyxiwe	76	46	to	to	TO
cord-258235-khdyxiwe	76	47	select	select	VB
cord-258235-khdyxiwe	76	48	the	the	DT
cord-258235-khdyxiwe	76	49	values	value	NNS
cord-258235-khdyxiwe	76	50	of	of	IN
cord-258235-khdyxiwe	76	51	parameters	parameter	NNS
cord-258235-khdyxiwe	76	52	p	p	NN
cord-258235-khdyxiwe	76	53	and	and	CC
cord-258235-khdyxiwe	76	54	q	q	NNP
cord-258235-khdyxiwe	76	55	)	)	-RRB-
cord-258235-khdyxiwe	76	56	,	,	,
cord-258235-khdyxiwe	76	57	and	and	CC
cord-258235-khdyxiwe	76	58	model	model	NN
cord-258235-khdyxiwe	76	59	diagnostics	diagnostic	NNS
cord-258235-khdyxiwe	76	60	checking	check	VBG
cord-258235-khdyxiwe	76	61	(	(	-LRB-
cord-258235-khdyxiwe	76	62	finding	find	VBG
cord-258235-khdyxiwe	76	63	the	the	DT
cord-258235-khdyxiwe	76	64	'	'	``
cord-258235-khdyxiwe	76	65	best	good	JJS
cord-258235-khdyxiwe	76	66	'	'	''
cord-258235-khdyxiwe	76	67	fitted	fit	VBN
cord-258235-khdyxiwe	76	68	forecasting	forecasting	NN
cord-258235-khdyxiwe	76	69	model	model	NN
cord-258235-khdyxiwe	76	70	using	use	VBG
cord-258235-khdyxiwe	76	71	Akaike	Akaike	NNP
cord-258235-khdyxiwe	76	72	Information	Information	NNP
cord-258235-khdyxiwe	76	73	Criterion	Criterion	NNP
cord-258235-khdyxiwe	76	74	(	(	-LRB-
cord-258235-khdyxiwe	76	75	AIC	AIC	NNP
cord-258235-khdyxiwe	76	76	)	)	-RRB-
cord-258235-khdyxiwe	76	77	and	and	CC
cord-258235-khdyxiwe	76	78	the	the	DT
cord-258235-khdyxiwe	76	79	Bayesian	Bayesian	NNP
cord-258235-khdyxiwe	76	80	Information	Information	NNP
cord-258235-khdyxiwe	76	81	Criterion	Criterion	NNP
cord-258235-khdyxiwe	76	82	(	(	-LRB-
cord-258235-khdyxiwe	76	83	BIC	BIC	NNP
cord-258235-khdyxiwe	76	84	)	)	-RRB-
cord-258235-khdyxiwe	76	85	)	)	-RRB-
cord-258235-khdyxiwe	77	1	[	[	-LRB-
cord-258235-khdyxiwe	77	2	15	15	CD
cord-258235-khdyxiwe	77	3	]	]	-RRB-
cord-258235-khdyxiwe	77	4	.	.	.
cord-258235-khdyxiwe	78	1	Wavelet	wavelet	JJ
cord-258235-khdyxiwe	78	2	analysis	analysis	NN
cord-258235-khdyxiwe	78	3	is	be	VBZ
cord-258235-khdyxiwe	78	4	a	a	DT
cord-258235-khdyxiwe	78	5	mathematical	mathematical	JJ
cord-258235-khdyxiwe	78	6	tool	tool	NN
cord-258235-khdyxiwe	78	7	that	that	WDT
cord-258235-khdyxiwe	78	8	can	can	MD
cord-258235-khdyxiwe	78	9	reveal	reveal	VB
cord-258235-khdyxiwe	78	10	information	information	NN
cord-258235-khdyxiwe	78	11	within	within	IN
cord-258235-khdyxiwe	78	12	the	the	DT
cord-258235-khdyxiwe	78	13	signals	signal	NNS
cord-258235-khdyxiwe	78	14	in	in	IN
cord-258235-khdyxiwe	78	15	both	both	CC
cord-258235-khdyxiwe	78	16	the	the	DT
cord-258235-khdyxiwe	78	17	time	time	NN
cord-258235-khdyxiwe	78	18	and	and	CC
cord-258235-khdyxiwe	78	19	scale	scale	NN
cord-258235-khdyxiwe	78	20	(	(	-LRB-
cord-258235-khdyxiwe	78	21	frequency	frequency	NN
cord-258235-khdyxiwe	78	22	)	)	-RRB-
cord-258235-khdyxiwe	78	23	domains	domain	NNS
cord-258235-khdyxiwe	78	24	[	[	-LRB-
cord-258235-khdyxiwe	78	25	27	27	CD
cord-258235-khdyxiwe	78	26	]	]	-RRB-
cord-258235-khdyxiwe	78	27	.	.	.
cord-258235-khdyxiwe	79	1	This	this	DT
cord-258235-khdyxiwe	79	2	property	property	NN
cord-258235-khdyxiwe	79	3	overcomes	overcome	VBZ
cord-258235-khdyxiwe	79	4	the	the	DT
cord-258235-khdyxiwe	79	5	basic	basic	JJ
cord-258235-khdyxiwe	79	6	drawback	drawback	NN
cord-258235-khdyxiwe	79	7	of	of	IN
cord-258235-khdyxiwe	79	8	Fourier	Fourier	NNP
cord-258235-khdyxiwe	79	9	analysis	analysis	NN
cord-258235-khdyxiwe	79	10	and	and	CC
cord-258235-khdyxiwe	79	11	wavelet	wavelet	NN
cord-258235-khdyxiwe	79	12	transforms	transform	VBZ
cord-258235-khdyxiwe	79	13	the	the	DT
cord-258235-khdyxiwe	79	14	original	original	JJ
cord-258235-khdyxiwe	79	15	signal	signal	NN
cord-258235-khdyxiwe	79	16	data	datum	NNS
cord-258235-khdyxiwe	79	17	(	(	-LRB-
cord-258235-khdyxiwe	79	18	especially	especially	RB
cord-258235-khdyxiwe	79	19	in	in	IN
cord-258235-khdyxiwe	79	20	the	the	DT
cord-258235-khdyxiwe	79	21	time	time	NN
cord-258235-khdyxiwe	79	22	domain	domain	NN
cord-258235-khdyxiwe	79	23	)	)	-RRB-
cord-258235-khdyxiwe	79	24	into	into	IN
cord-258235-khdyxiwe	79	25	a	a	DT
cord-258235-khdyxiwe	79	26	different	different	JJ
cord-258235-khdyxiwe	79	27	domain	domain	NN
cord-258235-khdyxiwe	79	28	for	for	IN
cord-258235-khdyxiwe	79	29	data	datum	NNS
cord-258235-khdyxiwe	79	30	analysis	analysis	NN
cord-258235-khdyxiwe	79	31	and	and	CC
cord-258235-khdyxiwe	79	32	processing	processing	NN
cord-258235-khdyxiwe	79	33	.	.	.
cord-258235-khdyxiwe	80	1	Wavelet	wavelet	NN
cord-258235-khdyxiwe	80	2	-	-	HYPH
cord-258235-khdyxiwe	80	3	based	base	VBN
cord-258235-khdyxiwe	80	4	models	model	NNS
cord-258235-khdyxiwe	80	5	are	be	VBP
cord-258235-khdyxiwe	80	6	most	most	RBS
cord-258235-khdyxiwe	80	7	suitable	suitable	JJ
cord-258235-khdyxiwe	80	8	for	for	IN
cord-258235-khdyxiwe	80	9	nonstationary	nonstationary	NNP
cord-258235-khdyxiwe	80	10	data	data	NNP
cord-258235-khdyxiwe	80	11	,	,	,
cord-258235-khdyxiwe	80	12	unlike	unlike	IN
cord-258235-khdyxiwe	80	13	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	80	14	[	[	-LRB-
cord-258235-khdyxiwe	80	15	23	23	CD
cord-258235-khdyxiwe	80	16	]	]	-RRB-
cord-258235-khdyxiwe	80	17	.	.	.
cord-258235-khdyxiwe	81	1	Most	Most	JJS
cord-258235-khdyxiwe	81	2	epidemic	epidemic	NN
cord-258235-khdyxiwe	81	3	and	and	CC
cord-258235-khdyxiwe	81	4	climatic	climatic	JJ
cord-258235-khdyxiwe	81	5	time	time	NN
cord-258235-khdyxiwe	81	6	-	-	HYPH
cord-258235-khdyxiwe	81	7	series	series	NN
cord-258235-khdyxiwe	81	8	datasets	dataset	NNS
cord-258235-khdyxiwe	81	9	are	be	VBP
cord-258235-khdyxiwe	81	10	nonstationary	nonstationary	JJ
cord-258235-khdyxiwe	81	11	;	;	:
cord-258235-khdyxiwe	81	12	therefore	therefore	RB
cord-258235-khdyxiwe	81	13	,	,	,
cord-258235-khdyxiwe	81	14	wavelet	wavelet	NN
cord-258235-khdyxiwe	81	15	transforms	transform	NNS
cord-258235-khdyxiwe	81	16	are	be	VBP
cord-258235-khdyxiwe	81	17	used	use	VBN
cord-258235-khdyxiwe	81	18	as	as	IN
cord-258235-khdyxiwe	81	19	a	a	DT
cord-258235-khdyxiwe	81	20	forecasting	forecasting	NN
cord-258235-khdyxiwe	81	21	model	model	NN
cord-258235-khdyxiwe	81	22	for	for	IN
cord-258235-khdyxiwe	81	23	these	these	DT
cord-258235-khdyxiwe	81	24	datasets	dataset	NNS
cord-258235-khdyxiwe	81	25	[	[	-LRB-
cord-258235-khdyxiwe	81	26	11	11	CD
cord-258235-khdyxiwe	81	27	;	;	SYM
cord-258235-khdyxiwe	81	28	2	2	CD
cord-258235-khdyxiwe	81	29	]	]	-RRB-
cord-258235-khdyxiwe	81	30	.	.	.
cord-258235-khdyxiwe	82	1	When	when	WRB
cord-258235-khdyxiwe	82	2	conducting	conduct	VBG
cord-258235-khdyxiwe	82	3	wavelet	wavelet	NN
cord-258235-khdyxiwe	82	4	analysis	analysis	NN
cord-258235-khdyxiwe	82	5	in	in	IN
cord-258235-khdyxiwe	82	6	the	the	DT
cord-258235-khdyxiwe	82	7	context	context	NN
cord-258235-khdyxiwe	82	8	of	of	IN
cord-258235-khdyxiwe	82	9	time	time	NNP
cord-258235-khdyxiwe	82	10	series	series	NNP
cord-258235-khdyxiwe	82	11	analysis	analysis	NN
cord-258235-khdyxiwe	82	12	,	,	,
cord-258235-khdyxiwe	82	13	the	the	DT
cord-258235-khdyxiwe	82	14	selection	selection	NN
cord-258235-khdyxiwe	82	15	of	of	IN
cord-258235-khdyxiwe	82	16	the	the	DT
cord-258235-khdyxiwe	82	17	optimal	optimal	JJ
cord-258235-khdyxiwe	82	18	number	number	NN
cord-258235-khdyxiwe	82	19	of	of	IN
cord-258235-khdyxiwe	82	20	decomposition	decomposition	NN
cord-258235-khdyxiwe	82	21	levels	level	NNS
cord-258235-khdyxiwe	82	22	is	be	VBZ
cord-258235-khdyxiwe	82	23	vital	vital	JJ
cord-258235-khdyxiwe	82	24	to	to	TO
cord-258235-khdyxiwe	82	25	determine	determine	VB
cord-258235-khdyxiwe	82	26	the	the	DT
cord-258235-khdyxiwe	82	27	performance	performance	NN
cord-258235-khdyxiwe	82	28	of	of	IN
cord-258235-khdyxiwe	82	29	the	the	DT
cord-258235-khdyxiwe	82	30	model	model	NN
cord-258235-khdyxiwe	82	31	in	in	IN
cord-258235-khdyxiwe	82	32	the	the	DT
cord-258235-khdyxiwe	82	33	wavelet	wavelet	NN
cord-258235-khdyxiwe	82	34	domain	domain	NN
cord-258235-khdyxiwe	82	35	.	.	.
cord-258235-khdyxiwe	83	1	The	the	DT
cord-258235-khdyxiwe	83	2	following	following	JJ
cord-258235-khdyxiwe	83	3	formula	formula	NN
cord-258235-khdyxiwe	83	4	for	for	IN
cord-258235-khdyxiwe	83	5	the	the	DT
cord-258235-khdyxiwe	83	6	number	number	NN
cord-258235-khdyxiwe	83	7	of	of	IN
cord-258235-khdyxiwe	83	8	decomposition	decomposition	NN
cord-258235-khdyxiwe	83	9	levels	level	NNS
cord-258235-khdyxiwe	83	10	,	,	,
cord-258235-khdyxiwe	83	11	W	w	NN
cord-258235-khdyxiwe	83	12	L	l	NN
cord-258235-khdyxiwe	83	13	=	=	SYM
cord-258235-khdyxiwe	83	14	int[log(n	int[log(n	NN
cord-258235-khdyxiwe	83	15	)	)	-RRB-
cord-258235-khdyxiwe	83	16	]	]	-RRB-
cord-258235-khdyxiwe	83	17	is	be	VBZ
cord-258235-khdyxiwe	83	18	used	use	VBN
cord-258235-khdyxiwe	83	19	to	to	TO
cord-258235-khdyxiwe	83	20	select	select	VB
cord-258235-khdyxiwe	83	21	the	the	DT
cord-258235-khdyxiwe	83	22	number	number	NN
cord-258235-khdyxiwe	83	23	of	of	IN
cord-258235-khdyxiwe	83	24	decomposition	decomposition	NN
cord-258235-khdyxiwe	83	25	levels	level	NNS
cord-258235-khdyxiwe	83	26	,	,	,
cord-258235-khdyxiwe	83	27	where	where	WRB
cord-258235-khdyxiwe	83	28	n	n	NN
cord-258235-khdyxiwe	83	29	is	be	VBZ
cord-258235-khdyxiwe	83	30	the	the	DT
cord-258235-khdyxiwe	83	31	time	time	NN
cord-258235-khdyxiwe	83	32	-	-	HYPH
cord-258235-khdyxiwe	83	33	series	series	NN
cord-258235-khdyxiwe	83	34	length	length	NN
cord-258235-khdyxiwe	83	35	.	.	.
cord-258235-khdyxiwe	84	1	The	the	DT
cord-258235-khdyxiwe	84	2	wavelet	wavelet	NN
cord-258235-khdyxiwe	84	3	-	-	HYPH
cord-258235-khdyxiwe	84	4	based	base	VBN
cord-258235-khdyxiwe	84	5	forecasting	forecasting	NN
cord-258235-khdyxiwe	84	6	(	(	-LRB-
cord-258235-khdyxiwe	84	7	WBF	WBF	NNP
cord-258235-khdyxiwe	84	8	)	)	-RRB-
cord-258235-khdyxiwe	84	9	model	model	NN
cord-258235-khdyxiwe	84	10	transforms	transform	VBZ
cord-258235-khdyxiwe	84	11	the	the	DT
cord-258235-khdyxiwe	84	12	time	time	NN
cord-258235-khdyxiwe	84	13	series	series	NNP
cord-258235-khdyxiwe	84	14	data	datum	NNS
cord-258235-khdyxiwe	84	15	by	by	IN
cord-258235-khdyxiwe	84	16	using	use	VBG
cord-258235-khdyxiwe	84	17	a	a	DT
cord-258235-khdyxiwe	84	18	hybrid	hybrid	JJ
cord-258235-khdyxiwe	84	19	maximal	maximal	JJ
cord-258235-khdyxiwe	84	20	overlap	overlap	NN
cord-258235-khdyxiwe	84	21	discrete	discrete	JJ
cord-258235-khdyxiwe	84	22	wavelet	wavelet	NN
cord-258235-khdyxiwe	84	23	transform	transform	NN
cord-258235-khdyxiwe	84	24	(	(	-LRB-
cord-258235-khdyxiwe	84	25	MODWT	modwt	NN
cord-258235-khdyxiwe	84	26	)	)	-RRB-
cord-258235-khdyxiwe	84	27	algorithm	algorithm	VBZ
cord-258235-khdyxiwe	84	28	with	with	IN
cord-258235-khdyxiwe	84	29	a	a	DT
cord-258235-khdyxiwe	84	30	'	'	``
cord-258235-khdyxiwe	84	31	haar	haar	NN
cord-258235-khdyxiwe	84	32	'	'	''
cord-258235-khdyxiwe	84	33	filter	filter	NN
cord-258235-khdyxiwe	84	34	.	.	.
cord-258235-khdyxiwe	85	1	Daubechies	daubechie	NNS
cord-258235-khdyxiwe	85	2	wavelets	wavelet	NNS
cord-258235-khdyxiwe	85	3	can	can	MD
cord-258235-khdyxiwe	85	4	produce	produce	VB
cord-258235-khdyxiwe	85	5	identical	identical	JJ
cord-258235-khdyxiwe	85	6	events	event	NNS
cord-258235-khdyxiwe	85	7	across	across	IN
cord-258235-khdyxiwe	85	8	the	the	DT
cord-258235-khdyxiwe	85	9	observed	observed	JJ
cord-258235-khdyxiwe	85	10	time	time	NN
cord-258235-khdyxiwe	85	11	series	series	NN
cord-258235-khdyxiwe	85	12	in	in	IN
cord-258235-khdyxiwe	85	13	so	so	RB
cord-258235-khdyxiwe	85	14	many	many	JJ
cord-258235-khdyxiwe	85	15	fashions	fashion	NNS
cord-258235-khdyxiwe	85	16	that	that	WDT
cord-258235-khdyxiwe	85	17	most	most	JJS
cord-258235-khdyxiwe	85	18	other	other	JJ
cord-258235-khdyxiwe	85	19	time	time	NN
cord-258235-khdyxiwe	85	20	series	series	NNP
cord-258235-khdyxiwe	85	21	prediction	prediction	NN
cord-258235-khdyxiwe	85	22	models	model	NNS
cord-258235-khdyxiwe	85	23	can	can	MD
cord-258235-khdyxiwe	85	24	not	not	RB
cord-258235-khdyxiwe	85	25	recognize	recognize	VB
cord-258235-khdyxiwe	85	26	[	[	-LRB-
cord-258235-khdyxiwe	85	27	3	3	CD
cord-258235-khdyxiwe	85	28	]	]	-RRB-
cord-258235-khdyxiwe	85	29	.	.	.
cord-258235-khdyxiwe	86	1	The	the	DT
cord-258235-khdyxiwe	86	2	necessary	necessary	JJ
cord-258235-khdyxiwe	86	3	steps	step	NNS
cord-258235-khdyxiwe	86	4	of	of	IN
cord-258235-khdyxiwe	86	5	a	a	DT
cord-258235-khdyxiwe	86	6	wavelet	wavelet	NN
cord-258235-khdyxiwe	86	7	-	-	HYPH
cord-258235-khdyxiwe	86	8	based	base	VBN
cord-258235-khdyxiwe	86	9	forecasting	forecasting	NN
cord-258235-khdyxiwe	86	10	model	model	NN
cord-258235-khdyxiwe	86	11	,	,	,
cord-258235-khdyxiwe	86	12	defined	define	VBN
cord-258235-khdyxiwe	86	13	by	by	IN
cord-258235-khdyxiwe	86	14	[	[	-LRB-
cord-258235-khdyxiwe	86	15	2	2	CD
cord-258235-khdyxiwe	86	16	]	]	-RRB-
cord-258235-khdyxiwe	86	17	,	,	,
cord-258235-khdyxiwe	86	18	are	be	VBP
cord-258235-khdyxiwe	86	19	as	as	IN
cord-258235-khdyxiwe	86	20	follows	follow	VBZ
cord-258235-khdyxiwe	86	21	.	.	.
cord-258235-khdyxiwe	87	1	Firstly	firstly	RB
cord-258235-khdyxiwe	87	2	,	,	,
cord-258235-khdyxiwe	87	3	the	the	DT
cord-258235-khdyxiwe	87	4	Daubechies	Daubechies	NNP
cord-258235-khdyxiwe	87	5	wavelet	wavelet	NN
cord-258235-khdyxiwe	87	6	transformation	transformation	NN
cord-258235-khdyxiwe	87	7	and	and	CC
cord-258235-khdyxiwe	87	8	a	a	DT
cord-258235-khdyxiwe	87	9	decomposition	decomposition	NN
cord-258235-khdyxiwe	87	10	level	level	NN
cord-258235-khdyxiwe	87	11	are	be	VBP
cord-258235-khdyxiwe	87	12	applied	apply	VBN
cord-258235-khdyxiwe	87	13	to	to	IN
cord-258235-khdyxiwe	87	14	the	the	DT
cord-258235-khdyxiwe	87	15	nonstationary	nonstationary	NNP
cord-258235-khdyxiwe	87	16	time	time	NNP
cord-258235-khdyxiwe	87	17	series	series	NNP
cord-258235-khdyxiwe	87	18	data	data	NNP
cord-258235-khdyxiwe	87	19	.	.	.
cord-258235-khdyxiwe	88	1	Secondly	secondly	RB
cord-258235-khdyxiwe	88	2	,	,	,
cord-258235-khdyxiwe	88	3	the	the	DT
cord-258235-khdyxiwe	88	4	series	series	NN
cord-258235-khdyxiwe	88	5	is	be	VBZ
cord-258235-khdyxiwe	88	6	reconstructed	reconstruct	VBN
cord-258235-khdyxiwe	88	7	by	by	IN
cord-258235-khdyxiwe	88	8	removing	remove	VBG
cord-258235-khdyxiwe	88	9	the	the	DT
cord-258235-khdyxiwe	88	10	high	high	JJ
cord-258235-khdyxiwe	88	11	-	-	HYPH
cord-258235-khdyxiwe	88	12	frequency	frequency	NN
cord-258235-khdyxiwe	88	13	component	component	NN
cord-258235-khdyxiwe	88	14	,	,	,
cord-258235-khdyxiwe	88	15	using	use	VBG
cord-258235-khdyxiwe	88	16	the	the	DT
cord-258235-khdyxiwe	88	17	wavelet	wavelet	JJ
cord-258235-khdyxiwe	88	18	denoising	denoising	NN
cord-258235-khdyxiwe	88	19	method	method	NN
cord-258235-khdyxiwe	88	20	.	.	.
cord-258235-khdyxiwe	89	1	And	and	CC
cord-258235-khdyxiwe	89	2	,	,	,
cord-258235-khdyxiwe	89	3	lastly	lastly	RB
cord-258235-khdyxiwe	89	4	,	,	,
cord-258235-khdyxiwe	89	5	an	an	DT
cord-258235-khdyxiwe	89	6	appropriate	appropriate	JJ
cord-258235-khdyxiwe	89	7	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	89	8	model	model	NN
cord-258235-khdyxiwe	89	9	is	be	VBZ
cord-258235-khdyxiwe	89	10	applied	apply	VBN
cord-258235-khdyxiwe	89	11	to	to	IN
cord-258235-khdyxiwe	89	12	the	the	DT
cord-258235-khdyxiwe	89	13	reconstructed	reconstruct	VBN
cord-258235-khdyxiwe	89	14	series	series	NN
cord-258235-khdyxiwe	89	15	to	to	TO
cord-258235-khdyxiwe	89	16	generate	generate	VB
cord-258235-khdyxiwe	89	17	out	out	RP
cord-258235-khdyxiwe	89	18	-	-	HYPH
cord-258235-khdyxiwe	89	19	of	of	IN
cord-258235-khdyxiwe	89	20	-	-	HYPH
cord-258235-khdyxiwe	89	21	sample	sample	NN
cord-258235-khdyxiwe	89	22	forecasts	forecast	NNS
cord-258235-khdyxiwe	89	23	of	of	IN
cord-258235-khdyxiwe	89	24	the	the	DT
cord-258235-khdyxiwe	89	25	given	give	VBN
cord-258235-khdyxiwe	89	26	time	time	NN
cord-258235-khdyxiwe	89	27	series	series	NNP
cord-258235-khdyxiwe	89	28	data	datum	NNS
cord-258235-khdyxiwe	89	29	.	.	.
cord-258235-khdyxiwe	90	1	For	for	IN
cord-258235-khdyxiwe	90	2	the	the	DT
cord-258235-khdyxiwe	90	3	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	90	4	datasets	dataset	NNS
cord-258235-khdyxiwe	90	5	,	,	,
cord-258235-khdyxiwe	90	6	we	-PRON-	PRP
cord-258235-khdyxiwe	90	7	propose	propose	VBP
cord-258235-khdyxiwe	90	8	a	a	DT
cord-258235-khdyxiwe	90	9	hybridization	hybridization	NN
cord-258235-khdyxiwe	90	10	of	of	IN
cord-258235-khdyxiwe	90	11	stationary	stationary	JJ
cord-258235-khdyxiwe	90	12	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	90	13	and	and	CC
cord-258235-khdyxiwe	90	14	nonstationary	nonstationary	JJ
cord-258235-khdyxiwe	90	15	WBF	WBF	NNP
cord-258235-khdyxiwe	90	16	model	model	NN
cord-258235-khdyxiwe	90	17	to	to	TO
cord-258235-khdyxiwe	90	18	reduce	reduce	VB
cord-258235-khdyxiwe	90	19	the	the	DT
cord-258235-khdyxiwe	90	20	individual	individual	JJ
cord-258235-khdyxiwe	90	21	biases	bias	NNS
cord-258235-khdyxiwe	90	22	of	of	IN
cord-258235-khdyxiwe	90	23	the	the	DT
cord-258235-khdyxiwe	90	24	component	component	NN
cord-258235-khdyxiwe	90	25	models	model	NNS
cord-258235-khdyxiwe	90	26	[	[	-LRB-
cord-258235-khdyxiwe	90	27	24	24	CD
cord-258235-khdyxiwe	90	28	]	]	-RRB-
cord-258235-khdyxiwe	90	29	.	.	.
cord-258235-khdyxiwe	91	1	The	the	DT
cord-258235-khdyxiwe	91	2	COVID-19	covid-19	CD
cord-258235-khdyxiwe	91	3	cases	case	NNS
cord-258235-khdyxiwe	91	4	datasets	dataset	NNS
cord-258235-khdyxiwe	91	5	for	for	IN
cord-258235-khdyxiwe	91	6	five	five	CD
cord-258235-khdyxiwe	91	7	different	different	JJ
cord-258235-khdyxiwe	91	8	countries	country	NNS
cord-258235-khdyxiwe	91	9	are	be	VBP
cord-258235-khdyxiwe	91	10	complex	complex	JJ
cord-258235-khdyxiwe	91	11	in	in	IN
cord-258235-khdyxiwe	91	12	nature	nature	NN
cord-258235-khdyxiwe	91	13	.	.	.
cord-258235-khdyxiwe	92	1	Thus	thus	RB
cord-258235-khdyxiwe	92	2	,	,	,
cord-258235-khdyxiwe	92	3	the	the	DT
cord-258235-khdyxiwe	92	4	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	92	5	model	model	NN
cord-258235-khdyxiwe	92	6	fails	fail	VBZ
cord-258235-khdyxiwe	92	7	to	to	TO
cord-258235-khdyxiwe	92	8	produce	produce	VB
cord-258235-khdyxiwe	92	9	random	random	JJ
cord-258235-khdyxiwe	92	10	errors	error	NNS
cord-258235-khdyxiwe	92	11	or	or	CC
cord-258235-khdyxiwe	92	12	even	even	RB
cord-258235-khdyxiwe	92	13	stationary	stationary	JJ
cord-258235-khdyxiwe	92	14	residual	residual	JJ
cord-258235-khdyxiwe	92	15	series	series	NN
cord-258235-khdyxiwe	92	16	,	,	,
cord-258235-khdyxiwe	92	17	evident	evident	JJ
cord-258235-khdyxiwe	92	18	from	from	IN
cord-258235-khdyxiwe	92	19	Figure	figure	NN
cord-258235-khdyxiwe	92	20	1	1	CD
cord-258235-khdyxiwe	92	21	.	.	.
cord-258235-khdyxiwe	93	1	The	the	DT
cord-258235-khdyxiwe	93	2	behavior	behavior	NN
cord-258235-khdyxiwe	93	3	of	of	IN
cord-258235-khdyxiwe	93	4	the	the	DT
cord-258235-khdyxiwe	93	5	residual	residual	JJ
cord-258235-khdyxiwe	93	6	series	series	NN
cord-258235-khdyxiwe	93	7	generated	generate	VBN
cord-258235-khdyxiwe	93	8	by	by	IN
cord-258235-khdyxiwe	93	9	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	93	10	is	be	VBZ
cord-258235-khdyxiwe	93	11	mostly	mostly	RB
cord-258235-khdyxiwe	93	12	oscillatory	oscillatory	JJ
cord-258235-khdyxiwe	93	13	and	and	CC
cord-258235-khdyxiwe	93	14	periodic	periodic	JJ
cord-258235-khdyxiwe	93	15	;	;	:
cord-258235-khdyxiwe	93	16	thus	thus	RB
cord-258235-khdyxiwe	93	17	,	,	,
cord-258235-khdyxiwe	93	18	we	-PRON-	PRP
cord-258235-khdyxiwe	93	19	choose	choose	VBP
cord-258235-khdyxiwe	93	20	the	the	DT
cord-258235-khdyxiwe	93	21	wavelet	wavelet	JJ
cord-258235-khdyxiwe	93	22	function	function	NN
cord-258235-khdyxiwe	93	23	to	to	TO
cord-258235-khdyxiwe	93	24	model	model	VB
cord-258235-khdyxiwe	93	25	the	the	DT
cord-258235-khdyxiwe	93	26	remaining	remain	VBG
cord-258235-khdyxiwe	93	27	series	series	NN
cord-258235-khdyxiwe	93	28	.	.	.
cord-258235-khdyxiwe	94	1	Several	several	JJ
cord-258235-khdyxiwe	94	2	hybrid	hybrid	JJ
cord-258235-khdyxiwe	94	3	models	model	NNS
cord-258235-khdyxiwe	94	4	based	base	VBN
cord-258235-khdyxiwe	94	5	on	on	IN
cord-258235-khdyxiwe	94	6	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	94	7	and	and	CC
cord-258235-khdyxiwe	94	8	neural	neural	JJ
cord-258235-khdyxiwe	94	9	networks	network	NNS
cord-258235-khdyxiwe	94	10	are	be	VBP
cord-258235-khdyxiwe	94	11	available	available	JJ
cord-258235-khdyxiwe	94	12	in	in	IN
cord-258235-khdyxiwe	94	13	the	the	DT
cord-258235-khdyxiwe	94	14	field	field	NN
cord-258235-khdyxiwe	94	15	of	of	IN
cord-258235-khdyxiwe	94	16	time	time	NNP
cord-258235-khdyxiwe	94	17	series	series	NN
cord-258235-khdyxiwe	94	18	forecasting	forecasting	NN
cord-258235-khdyxiwe	94	19	;	;	:
cord-258235-khdyxiwe	94	20	see	see	VB
cord-258235-khdyxiwe	94	21	for	for	IN
cord-258235-khdyxiwe	94	22	example	example	NN
cord-258235-khdyxiwe	94	23	[	[	-LRB-
cord-258235-khdyxiwe	94	24	35	35	CD
cord-258235-khdyxiwe	94	25	;	;	:
cord-258235-khdyxiwe	94	26	1	1	CD
cord-258235-khdyxiwe	94	27	;	;	:
cord-258235-khdyxiwe	94	28	12	12	CD
cord-258235-khdyxiwe	94	29	;	;	:
cord-258235-khdyxiwe	94	30	19	19	CD
cord-258235-khdyxiwe	94	31	;	;	SYM
cord-258235-khdyxiwe	94	32	8	8	CD
cord-258235-khdyxiwe	94	33	;	;	:
cord-258235-khdyxiwe	94	34	25	25	CD
cord-258235-khdyxiwe	94	35	]	]	-RRB-
cord-258235-khdyxiwe	94	36	.	.	.
cord-258235-khdyxiwe	95	1	Algorithm	algorithm	NN
cord-258235-khdyxiwe	95	2	1	1	CD
cord-258235-khdyxiwe	96	1	Proposed	propose	VBN
cord-258235-khdyxiwe	96	2	Hybrid	Hybrid	NNP
cord-258235-khdyxiwe	96	3	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	96	4	-	-	HYPH
cord-258235-khdyxiwe	96	5	WBF	WBF	NNP
cord-258235-khdyxiwe	96	6	Model	Model	NNP
cord-258235-khdyxiwe	96	7	1	1	CD
cord-258235-khdyxiwe	97	1	Given	give	VBN
cord-258235-khdyxiwe	97	2	a	a	DT
cord-258235-khdyxiwe	97	3	time	time	NN
cord-258235-khdyxiwe	97	4	series	series	NN
cord-258235-khdyxiwe	97	5	of	of	IN
cord-258235-khdyxiwe	97	6	length	length	NN
cord-258235-khdyxiwe	97	7	n	n	NN
cord-258235-khdyxiwe	97	8	,	,	,
cord-258235-khdyxiwe	98	1	input	input	NN
cord-258235-khdyxiwe	98	2	the	the	DT
cord-258235-khdyxiwe	98	3	in	in	IN
cord-258235-khdyxiwe	98	4	-	-	HYPH
cord-258235-khdyxiwe	98	5	sample	sample	NN
cord-258235-khdyxiwe	98	6	(	(	-LRB-
cord-258235-khdyxiwe	98	7	training	training	NN
cord-258235-khdyxiwe	98	8	)	)	-RRB-
cord-258235-khdyxiwe	99	1	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	99	2	daily	daily	JJ
cord-258235-khdyxiwe	99	3	cases	case	NNS
cord-258235-khdyxiwe	99	4	data	datum	NNS
cord-258235-khdyxiwe	99	5	.	.	.
cord-258235-khdyxiwe	100	1	2	2	LS
cord-258235-khdyxiwe	100	2	Determine	determine	VB
cord-258235-khdyxiwe	100	3	the	the	DT
cord-258235-khdyxiwe	100	4	best	good	JJS
cord-258235-khdyxiwe	100	5	ARIMA(p	arima(p	NN
cord-258235-khdyxiwe	100	6	,	,	,
cord-258235-khdyxiwe	101	1	d	d	NNP
cord-258235-khdyxiwe	101	2	,	,	,
cord-258235-khdyxiwe	101	3	q	q	NNP
cord-258235-khdyxiwe	101	4	)	)	-RRB-
cord-258235-khdyxiwe	101	5	model	model	NN
cord-258235-khdyxiwe	101	6	using	use	VBG
cord-258235-khdyxiwe	101	7	the	the	DT
cord-258235-khdyxiwe	101	8	in	in	IN
cord-258235-khdyxiwe	101	9	-	-	HYPH
cord-258235-khdyxiwe	101	10	sample	sample	NN
cord-258235-khdyxiwe	101	11	(	(	-LRB-
cord-258235-khdyxiwe	101	12	training	training	NN
cord-258235-khdyxiwe	101	13	)	)	-RRB-
cord-258235-khdyxiwe	101	14	data	datum	NNS
cord-258235-khdyxiwe	101	15	.	.	.
cord-258235-khdyxiwe	102	1	•	•	NNP
cord-258235-khdyxiwe	102	2	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	102	3	parameters	parameter	NNS
cord-258235-khdyxiwe	102	4	p	p	NN
cord-258235-khdyxiwe	102	5	,	,	,
cord-258235-khdyxiwe	102	6	d	d	NNP
cord-258235-khdyxiwe	102	7	,	,	,
cord-258235-khdyxiwe	102	8	and	and	CC
cord-258235-khdyxiwe	103	1	q	q	NNP
cord-258235-khdyxiwe	103	2	values	value	NNS
cord-258235-khdyxiwe	103	3	are	be	VBP
cord-258235-khdyxiwe	103	4	selected	select	VBN
cord-258235-khdyxiwe	103	5	using	use	VBG
cord-258235-khdyxiwe	103	6	the	the	DT
cord-258235-khdyxiwe	103	7	procedures	procedure	NNS
cord-258235-khdyxiwe	103	8	described	describe	VBN
cord-258235-khdyxiwe	103	9	in	in	IN
cord-258235-khdyxiwe	103	10	Section	section	NN
cord-258235-khdyxiwe	103	11	2.2.1	2.2.1	CD
cord-258235-khdyxiwe	103	12	.	.	.
cord-258235-khdyxiwe	104	1	•	•	NNP
cord-258235-khdyxiwe	105	1	Obtain	obtain	VB
cord-258235-khdyxiwe	105	2	the	the	DT
cord-258235-khdyxiwe	105	3	predictions	prediction	NNS
cord-258235-khdyxiwe	105	4	using	use	VBG
cord-258235-khdyxiwe	105	5	the	the	DT
cord-258235-khdyxiwe	105	6	selected	select	VBN
cord-258235-khdyxiwe	105	7	ARIMA(p	arima(p	NN
cord-258235-khdyxiwe	105	8	,	,	,
cord-258235-khdyxiwe	105	9	d	d	NNP
cord-258235-khdyxiwe	105	10	,	,	,
cord-258235-khdyxiwe	105	11	q	q	NNP
cord-258235-khdyxiwe	105	12	)	)	-RRB-
cord-258235-khdyxiwe	105	13	model	model	NN
cord-258235-khdyxiwe	105	14	for	for	IN
cord-258235-khdyxiwe	105	15	the	the	DT
cord-258235-khdyxiwe	105	16	in	in	IN
cord-258235-khdyxiwe	105	17	-	-	HYPH
cord-258235-khdyxiwe	105	18	sample	sample	NN
cord-258235-khdyxiwe	105	19	data	datum	NNS
cord-258235-khdyxiwe	105	20	and	and	CC
cord-258235-khdyxiwe	105	21	generate	generate	VB
cord-258235-khdyxiwe	105	22	required	require	VBN
cord-258235-khdyxiwe	105	23	number	number	NN
cord-258235-khdyxiwe	105	24	of	of	IN
cord-258235-khdyxiwe	105	25	out	out	IN
cord-258235-khdyxiwe	105	26	-	-	HYPH
cord-258235-khdyxiwe	105	27	of	of	IN
cord-258235-khdyxiwe	105	28	-	-	HYPH
cord-258235-khdyxiwe	105	29	sample	sample	NN
cord-258235-khdyxiwe	105	30	forecasts	forecast	NNS
cord-258235-khdyxiwe	105	31	.	.	.
cord-258235-khdyxiwe	106	1	•	•	NNP
cord-258235-khdyxiwe	107	1	Obtain	obtain	VB
cord-258235-khdyxiwe	107	2	the	the	DT
cord-258235-khdyxiwe	107	3	residual	residual	JJ
cord-258235-khdyxiwe	107	4	series	series	NN
cord-258235-khdyxiwe	107	5	(	(	-LRB-
cord-258235-khdyxiwe	107	6	ε	ε	NNP
cord-258235-khdyxiwe	107	7	t	t	NNP
cord-258235-khdyxiwe	107	8	)	)	-RRB-
cord-258235-khdyxiwe	107	9	by	by	IN
cord-258235-khdyxiwe	107	10	subtracting	subtract	VBG
cord-258235-khdyxiwe	107	11	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	107	12	predicted	predict	VBD
cord-258235-khdyxiwe	107	13	values	value	NNS
cord-258235-khdyxiwe	107	14	from	from	IN
cord-258235-khdyxiwe	107	15	the	the	DT
cord-258235-khdyxiwe	107	16	original	original	JJ
cord-258235-khdyxiwe	107	17	training	training	NN
cord-258235-khdyxiwe	107	18	series	series	NN
cord-258235-khdyxiwe	107	19	.	.	.
cord-258235-khdyxiwe	108	1	3	3	LS
cord-258235-khdyxiwe	108	2	Train	train	VB
cord-258235-khdyxiwe	108	3	the	the	DT
cord-258235-khdyxiwe	108	4	residual	residual	JJ
cord-258235-khdyxiwe	108	5	series	series	NN
cord-258235-khdyxiwe	108	6	(	(	-LRB-
cord-258235-khdyxiwe	108	7	ε	ε	NNP
cord-258235-khdyxiwe	108	8	t	t	NNP
cord-258235-khdyxiwe	108	9	)	)	-RRB-
cord-258235-khdyxiwe	108	10	generated	generate	VBN
cord-258235-khdyxiwe	108	11	by	by	IN
cord-258235-khdyxiwe	108	12	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	108	13	by	by	IN
cord-258235-khdyxiwe	108	14	the	the	DT
cord-258235-khdyxiwe	108	15	WBF	WBF	NNP
cord-258235-khdyxiwe	108	16	model	model	NN
cord-258235-khdyxiwe	108	17	,	,	,
cord-258235-khdyxiwe	108	18	as	as	IN
cord-258235-khdyxiwe	108	19	described	describe	VBN
cord-258235-khdyxiwe	108	20	in	in	IN
cord-258235-khdyxiwe	108	21	Section	section	NN
cord-258235-khdyxiwe	108	22	2.2.2	2.2.2	CD
cord-258235-khdyxiwe	108	23	.	.	.
cord-258235-khdyxiwe	109	1	•	•	NNP
cord-258235-khdyxiwe	110	1	Select	select	VB
cord-258235-khdyxiwe	110	2	the	the	DT
cord-258235-khdyxiwe	110	3	number	number	NN
cord-258235-khdyxiwe	110	4	of	of	IN
cord-258235-khdyxiwe	110	5	decomposition	decomposition	NN
cord-258235-khdyxiwe	110	6	level	level	NN
cord-258235-khdyxiwe	110	7	using	use	VBG
cord-258235-khdyxiwe	110	8	the	the	DT
cord-258235-khdyxiwe	110	9	formulae	formula	NNS
cord-258235-khdyxiwe	110	10	W	W	NNP
cord-258235-khdyxiwe	110	11	L	l	NN
cord-258235-khdyxiwe	110	12	=	=	NN
cord-258235-khdyxiwe	110	13	int[log(n	int[log(n	NN
cord-258235-khdyxiwe	110	14	)	)	-RRB-
cord-258235-khdyxiwe	110	15	]	]	-RRB-
cord-258235-khdyxiwe	110	16	and	and	CC
cord-258235-khdyxiwe	110	17	boundary	boundary	NN
cord-258235-khdyxiwe	110	18	is	be	VBZ
cord-258235-khdyxiwe	110	19	chosen	choose	VBN
cord-258235-khdyxiwe	110	20	to	to	TO
cord-258235-khdyxiwe	110	21	be	be	VB
cord-258235-khdyxiwe	110	22	'	'	``
cord-258235-khdyxiwe	110	23	periodic	periodic	JJ
cord-258235-khdyxiwe	110	24	'	'	''
cord-258235-khdyxiwe	110	25	.	.	.
cord-258235-khdyxiwe	111	1	•	•	NNP
cord-258235-khdyxiwe	112	1	Obtain	obtain	VB
cord-258235-khdyxiwe	112	2	in	in	IN
cord-258235-khdyxiwe	112	3	-	-	HYPH
cord-258235-khdyxiwe	112	4	sample	sample	NN
cord-258235-khdyxiwe	112	5	predictions	prediction	NNS
cord-258235-khdyxiwe	112	6	(	(	-LRB-
cord-258235-khdyxiwe	112	7	ε	ε	NNP
cord-258235-khdyxiwe	112	8	t	t	NNP
cord-258235-khdyxiwe	112	9	)	)	-RRB-
cord-258235-khdyxiwe	112	10	using	use	VBG
cord-258235-khdyxiwe	112	11	the	the	DT
cord-258235-khdyxiwe	112	12	WBF	WBF	NNP
cord-258235-khdyxiwe	112	13	model	model	NN
cord-258235-khdyxiwe	112	14	and	and	CC
cord-258235-khdyxiwe	112	15	generate	generate	VB
cord-258235-khdyxiwe	112	16	required	require	VBN
cord-258235-khdyxiwe	112	17	number	number	NN
cord-258235-khdyxiwe	112	18	of	of	IN
cord-258235-khdyxiwe	112	19	out	out	IN
cord-258235-khdyxiwe	112	20	-	-	HYPH
cord-258235-khdyxiwe	112	21	of	of	IN
cord-258235-khdyxiwe	112	22	-	-	HYPH
cord-258235-khdyxiwe	112	23	sample	sample	NN
cord-258235-khdyxiwe	112	24	forecasts	forecast	NNS
cord-258235-khdyxiwe	112	25	..	..	.
cord-258235-khdyxiwe	113	1	Motivated	motivate	VBN
cord-258235-khdyxiwe	113	2	by	by	IN
cord-258235-khdyxiwe	113	3	the	the	DT
cord-258235-khdyxiwe	113	4	above	above	JJ
cord-258235-khdyxiwe	113	5	discussion	discussion	NN
cord-258235-khdyxiwe	113	6	,	,	,
cord-258235-khdyxiwe	113	7	we	-PRON-	PRP
cord-258235-khdyxiwe	113	8	propose	propose	VBP
cord-258235-khdyxiwe	113	9	a	a	DT
cord-258235-khdyxiwe	113	10	novel	novel	JJ
cord-258235-khdyxiwe	113	11	hybrid	hybrid	NN
cord-258235-khdyxiwe	113	12	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	113	13	-	-	HYPH
cord-258235-khdyxiwe	113	14	WBF	WBF	NNP
cord-258235-khdyxiwe	113	15	model	model	NN
cord-258235-khdyxiwe	113	16	which	which	WDT
cord-258235-khdyxiwe	113	17	is	be	VBZ
cord-258235-khdyxiwe	113	18	a	a	DT
cord-258235-khdyxiwe	113	19	two	two	CD
cord-258235-khdyxiwe	113	20	-	-	HYPH
cord-258235-khdyxiwe	113	21	step	step	NN
cord-258235-khdyxiwe	113	22	pipeline	pipeline	NN
cord-258235-khdyxiwe	113	23	approach	approach	NN
cord-258235-khdyxiwe	113	24	.	.	.
cord-258235-khdyxiwe	114	1	In	in	IN
cord-258235-khdyxiwe	114	2	the	the	DT
cord-258235-khdyxiwe	114	3	first	first	JJ
cord-258235-khdyxiwe	114	4	step	step	NN
cord-258235-khdyxiwe	114	5	of	of	IN
cord-258235-khdyxiwe	114	6	the	the	DT
cord-258235-khdyxiwe	114	7	proposed	propose	VBN
cord-258235-khdyxiwe	114	8	hybrid	hybrid	NN
cord-258235-khdyxiwe	114	9	approach	approach	NN
cord-258235-khdyxiwe	114	10	,	,	,
cord-258235-khdyxiwe	114	11	an	an	DT
cord-258235-khdyxiwe	114	12	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	114	13	model	model	NN
cord-258235-khdyxiwe	114	14	is	be	VBZ
cord-258235-khdyxiwe	114	15	built	build	VBN
cord-258235-khdyxiwe	114	16	to	to	TO
cord-258235-khdyxiwe	114	17	model	model	VB
cord-258235-khdyxiwe	114	18	the	the	DT
cord-258235-khdyxiwe	114	19	linear	linear	JJ
cord-258235-khdyxiwe	114	20	components	component	NNS
cord-258235-khdyxiwe	114	21	of	of	IN
cord-258235-khdyxiwe	114	22	the	the	DT
cord-258235-khdyxiwe	114	23	epidemic	epidemic	NN
cord-258235-khdyxiwe	114	24	time	time	NN
cord-258235-khdyxiwe	114	25	series	series	NN
cord-258235-khdyxiwe	114	26	,	,	,
cord-258235-khdyxiwe	114	27	and	and	CC
cord-258235-khdyxiwe	114	28	a	a	DT
cord-258235-khdyxiwe	114	29	set	set	NN
cord-258235-khdyxiwe	114	30	of	of	IN
cord-258235-khdyxiwe	114	31	outof	outof	JJ
cord-258235-khdyxiwe	114	32	-	-	HYPH
cord-258235-khdyxiwe	114	33	sample	sample	NN
cord-258235-khdyxiwe	114	34	forecasts	forecast	NNS
cord-258235-khdyxiwe	114	35	are	be	VBP
cord-258235-khdyxiwe	114	36	generated	generate	VBN
cord-258235-khdyxiwe	114	37	.	.	.
cord-258235-khdyxiwe	115	1	In	in	IN
cord-258235-khdyxiwe	115	2	the	the	DT
cord-258235-khdyxiwe	115	3	second	second	JJ
cord-258235-khdyxiwe	115	4	phase	phase	NN
cord-258235-khdyxiwe	115	5	,	,	,
cord-258235-khdyxiwe	115	6	the	the	DT
cord-258235-khdyxiwe	115	7	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	115	8	residuals	residual	NNS
cord-258235-khdyxiwe	115	9	(	(	-LRB-
cord-258235-khdyxiwe	115	10	oscillatory	oscillatory	JJ
cord-258235-khdyxiwe	115	11	residual	residual	JJ
cord-258235-khdyxiwe	115	12	series	series	NN
cord-258235-khdyxiwe	115	13	)	)	-RRB-
cord-258235-khdyxiwe	115	14	are	be	VBP
cord-258235-khdyxiwe	115	15	remodeled	remodel	VBN
cord-258235-khdyxiwe	115	16	using	use	VBG
cord-258235-khdyxiwe	115	17	a	a	DT
cord-258235-khdyxiwe	115	18	mathematically	mathematically	RB
cord-258235-khdyxiwe	115	19	-	-	HYPH
cord-258235-khdyxiwe	115	20	grounded	ground	VBN
cord-258235-khdyxiwe	115	21	WBF	WBF	NNP
cord-258235-khdyxiwe	115	22	model	model	NN
cord-258235-khdyxiwe	115	23	.	.	.
cord-258235-khdyxiwe	116	1	Here	here	RB
cord-258235-khdyxiwe	116	2	,	,	,
cord-258235-khdyxiwe	116	3	WBF	WBF	NNP
cord-258235-khdyxiwe	116	4	models	model	NNS
cord-258235-khdyxiwe	116	5	the	the	DT
cord-258235-khdyxiwe	116	6	left	leave	VBN
cord-258235-khdyxiwe	116	7	-	-	HYPH
cord-258235-khdyxiwe	116	8	over	over	RP
cord-258235-khdyxiwe	116	9	autocorrelations	autocorrelation	NNS
cord-258235-khdyxiwe	116	10	(	(	-LRB-
cord-258235-khdyxiwe	116	11	in	in	IN
cord-258235-khdyxiwe	116	12	this	this	DT
cord-258235-khdyxiwe	116	13	case	case	NN
cord-258235-khdyxiwe	116	14	,	,	,
cord-258235-khdyxiwe	116	15	the	the	DT
cord-258235-khdyxiwe	116	16	oscillatory	oscillatory	JJ
cord-258235-khdyxiwe	116	17	series	series	NN
cord-258235-khdyxiwe	116	18	in	in	IN
cord-258235-khdyxiwe	116	19	Figure	figure	NN
cord-258235-khdyxiwe	116	20	1	1	CD
cord-258235-khdyxiwe	116	21	)	)	-RRB-
cord-258235-khdyxiwe	116	22	in	in	IN
cord-258235-khdyxiwe	116	23	the	the	DT
cord-258235-khdyxiwe	116	24	residuals	residual	NNS
cord-258235-khdyxiwe	116	25	which	which	WDT
cord-258235-khdyxiwe	116	26	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	116	27	could	could	MD
cord-258235-khdyxiwe	116	28	not	not	RB
cord-258235-khdyxiwe	116	29	model	model	VB
cord-258235-khdyxiwe	116	30	.	.	.
cord-258235-khdyxiwe	117	1	The	the	DT
cord-258235-khdyxiwe	117	2	algorithmic	algorithmic	JJ
cord-258235-khdyxiwe	117	3	presentation	presentation	NN
cord-258235-khdyxiwe	117	4	of	of	IN
cord-258235-khdyxiwe	117	5	the	the	DT
cord-258235-khdyxiwe	117	6	proposed	propose	VBN
cord-258235-khdyxiwe	117	7	hybrid	hybrid	NN
cord-258235-khdyxiwe	117	8	model	model	NN
cord-258235-khdyxiwe	117	9	is	be	VBZ
cord-258235-khdyxiwe	117	10	given	give	VBN
cord-258235-khdyxiwe	117	11	in	in	IN
cord-258235-khdyxiwe	117	12	Algorithm	Algorithm	NNP
cord-258235-khdyxiwe	117	13	1	1	CD
cord-258235-khdyxiwe	117	14	.	.	.
cord-258235-khdyxiwe	118	1	The	the	DT
cord-258235-khdyxiwe	118	2	proposed	propose	VBN
cord-258235-khdyxiwe	118	3	model	model	NN
cord-258235-khdyxiwe	118	4	can	can	MD
cord-258235-khdyxiwe	118	5	be	be	VB
cord-258235-khdyxiwe	118	6	looked	look	VBN
cord-258235-khdyxiwe	118	7	upon	upon	IN
cord-258235-khdyxiwe	118	8	as	as	IN
cord-258235-khdyxiwe	118	9	an	an	DT
cord-258235-khdyxiwe	118	10	error	error	NN
cord-258235-khdyxiwe	118	11	remodeling	remodeling	NN
cord-258235-khdyxiwe	118	12	approach	approach	NN
cord-258235-khdyxiwe	118	13	in	in	IN
cord-258235-khdyxiwe	118	14	which	which	WDT
cord-258235-khdyxiwe	118	15	we	-PRON-	PRP
cord-258235-khdyxiwe	118	16	use	use	VBP
cord-258235-khdyxiwe	118	17	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	118	18	as	as	IN
cord-258235-khdyxiwe	118	19	the	the	DT
cord-258235-khdyxiwe	118	20	base	base	NN
cord-258235-khdyxiwe	118	21	model	model	NN
cord-258235-khdyxiwe	118	22	and	and	CC
cord-258235-khdyxiwe	118	23	remodel	remodel	VB
cord-258235-khdyxiwe	118	24	its	-PRON-	PRP$
cord-258235-khdyxiwe	118	25	error	error	NN
cord-258235-khdyxiwe	118	26	series	series	NN
cord-258235-khdyxiwe	118	27	by	by	IN
cord-258235-khdyxiwe	118	28	wavelet	wavelet	NN
cord-258235-khdyxiwe	118	29	-	-	HYPH
cord-258235-khdyxiwe	118	30	based	base	VBN
cord-258235-khdyxiwe	118	31	time	time	NN
cord-258235-khdyxiwe	118	32	series	series	NN
cord-258235-khdyxiwe	118	33	forecasting	forecasting	NN
cord-258235-khdyxiwe	118	34	technique	technique	NN
cord-258235-khdyxiwe	118	35	to	to	TO
cord-258235-khdyxiwe	118	36	generate	generate	VB
cord-258235-khdyxiwe	118	37	more	more	RBR
cord-258235-khdyxiwe	118	38	accurate	accurate	JJ
cord-258235-khdyxiwe	118	39	forecasts	forecast	NNS
cord-258235-khdyxiwe	118	40	.	.	.
cord-258235-khdyxiwe	119	1	This	this	DT
cord-258235-khdyxiwe	119	2	is	be	VBZ
cord-258235-khdyxiwe	119	3	in	in	IN
cord-258235-khdyxiwe	119	4	relevance	relevance	NN
cord-258235-khdyxiwe	119	5	to	to	IN
cord-258235-khdyxiwe	119	6	model	model	NN
cord-258235-khdyxiwe	119	7	misspecification	misspecification	NN
cord-258235-khdyxiwe	119	8	in	in	IN
cord-258235-khdyxiwe	119	9	which	which	WDT
cord-258235-khdyxiwe	119	10	disturbances	disturbance	NNS
cord-258235-khdyxiwe	119	11	in	in	IN
cord-258235-khdyxiwe	119	12	the	the	DT
cord-258235-khdyxiwe	119	13	nonlinear	nonlinear	JJ
cord-258235-khdyxiwe	119	14	time	time	NN
cord-258235-khdyxiwe	119	15	series	series	NN
cord-258235-khdyxiwe	119	16	of	of	IN
cord-258235-khdyxiwe	119	17	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	119	18	cases	case	NNS
cord-258235-khdyxiwe	119	19	can	can	MD
cord-258235-khdyxiwe	119	20	not	not	RB
cord-258235-khdyxiwe	119	21	be	be	VB
cord-258235-khdyxiwe	119	22	correctly	correctly	RB
cord-258235-khdyxiwe	119	23	modeled	model	VBN
cord-258235-khdyxiwe	119	24	with	with	IN
cord-258235-khdyxiwe	119	25	the	the	DT
cord-258235-khdyxiwe	119	26	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	119	27	model	model	NN
cord-258235-khdyxiwe	119	28	.	.	.
cord-258235-khdyxiwe	120	1	Therefore	therefore	RB
cord-258235-khdyxiwe	120	2	,	,	,
cord-258235-khdyxiwe	120	3	if	if	IN
cord-258235-khdyxiwe	120	4	the	the	DT
cord-258235-khdyxiwe	120	5	error	error	NN
cord-258235-khdyxiwe	120	6	series	series	NN
cord-258235-khdyxiwe	120	7	generated	generate	VBN
cord-258235-khdyxiwe	120	8	by	by	IN
cord-258235-khdyxiwe	120	9	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	120	10	is	be	VBZ
cord-258235-khdyxiwe	120	11	adequately	adequately	RB
cord-258235-khdyxiwe	120	12	modeled	model	VBN
cord-258235-khdyxiwe	120	13	and	and	CC
cord-258235-khdyxiwe	120	14	incorporated	incorporate	VBN
cord-258235-khdyxiwe	120	15	with	with	IN
cord-258235-khdyxiwe	120	16	the	the	DT
cord-258235-khdyxiwe	120	17	forecasts	forecast	NNS
cord-258235-khdyxiwe	120	18	,	,	,
cord-258235-khdyxiwe	120	19	the	the	DT
cord-258235-khdyxiwe	120	20	performance	performance	NN
cord-258235-khdyxiwe	120	21	of	of	IN
cord-258235-khdyxiwe	120	22	the	the	DT
cord-258235-khdyxiwe	120	23	out	out	JJ
cord-258235-khdyxiwe	120	24	-	-	HYPH
cord-258235-khdyxiwe	120	25	of	of	IN
cord-258235-khdyxiwe	120	26	-	-	HYPH
cord-258235-khdyxiwe	120	27	sample	sample	NN
cord-258235-khdyxiwe	120	28	estimates	estimate	NNS
cord-258235-khdyxiwe	120	29	can	can	MD
cord-258235-khdyxiwe	120	30	be	be	VB
cord-258235-khdyxiwe	120	31	improved	improve	VBN
cord-258235-khdyxiwe	120	32	,	,	,
cord-258235-khdyxiwe	120	33	even	even	RB
cord-258235-khdyxiwe	120	34	though	though	IN
cord-258235-khdyxiwe	120	35	marginally	marginally	RB
cord-258235-khdyxiwe	120	36	at	at	IN
cord-258235-khdyxiwe	120	37	times	time	NNS
cord-258235-khdyxiwe	120	38	.	.	.
cord-258235-khdyxiwe	121	1	Remark	remark	NN
cord-258235-khdyxiwe	121	2	.	.	.
cord-258235-khdyxiwe	122	1	The	the	DT
cord-258235-khdyxiwe	122	2	proposed	propose	VBN
cord-258235-khdyxiwe	122	3	hybrid	hybrid	NN
cord-258235-khdyxiwe	122	4	approach	approach	NN
cord-258235-khdyxiwe	122	5	contradicts	contradict	VBZ
cord-258235-khdyxiwe	122	6	other	other	JJ
cord-258235-khdyxiwe	122	7	mathematical	mathematical	JJ
cord-258235-khdyxiwe	122	8	and	and	CC
cord-258235-khdyxiwe	122	9	traditional	traditional	JJ
cord-258235-khdyxiwe	122	10	forecasting	forecasting	NN
cord-258235-khdyxiwe	122	11	modeling	modeling	NN
cord-258235-khdyxiwe	122	12	approaches	approach	NNS
cord-258235-khdyxiwe	122	13	applied	apply	VBN
cord-258235-khdyxiwe	122	14	to	to	IN
cord-258235-khdyxiwe	122	15	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	122	16	data	datum	NNS
cord-258235-khdyxiwe	122	17	.	.	.
cord-258235-khdyxiwe	123	1	We	-PRON-	PRP
cord-258235-khdyxiwe	123	2	choose	choose	VBP
cord-258235-khdyxiwe	123	3	two	two	CD
cord-258235-khdyxiwe	123	4	completely	completely	RB
cord-258235-khdyxiwe	123	5	diverse	diverse	JJ
cord-258235-khdyxiwe	123	6	models	model	NNS
cord-258235-khdyxiwe	123	7	for	for	IN
cord-258235-khdyxiwe	123	8	hybridization	hybridization	NN
cord-258235-khdyxiwe	123	9	,	,	,
cord-258235-khdyxiwe	123	10	one	one	CD
cord-258235-khdyxiwe	123	11	from	from	IN
cord-258235-khdyxiwe	123	12	classical	classical	JJ
cord-258235-khdyxiwe	123	13	forecasting	forecasting	NN
cord-258235-khdyxiwe	123	14	literature	literature	NN
cord-258235-khdyxiwe	123	15	and	and	CC
cord-258235-khdyxiwe	123	16	another	another	DT
cord-258235-khdyxiwe	123	17	from	from	IN
cord-258235-khdyxiwe	123	18	modern	modern	JJ
cord-258235-khdyxiwe	123	19	forecasting	forecasting	NN
cord-258235-khdyxiwe	123	20	approaches	approach	NNS
cord-258235-khdyxiwe	123	21	.	.	.
cord-258235-khdyxiwe	124	1	Five	five	CD
cord-258235-khdyxiwe	124	2	time	time	NN
cord-258235-khdyxiwe	124	3	series	series	NN
cord-258235-khdyxiwe	124	4	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	124	5	datasets	dataset	NNS
cord-258235-khdyxiwe	124	6	for	for	IN
cord-258235-khdyxiwe	124	7	Canada	Canada	NNP
cord-258235-khdyxiwe	124	8	,	,	,
cord-258235-khdyxiwe	124	9	France	France	NNP
cord-258235-khdyxiwe	124	10	,	,	,
cord-258235-khdyxiwe	124	11	India	India	NNP
cord-258235-khdyxiwe	124	12	,	,	,
cord-258235-khdyxiwe	124	13	South	South	NNP
cord-258235-khdyxiwe	124	14	Korea	Korea	NNP
cord-258235-khdyxiwe	124	15	,	,	,
cord-258235-khdyxiwe	124	16	and	and	CC
cord-258235-khdyxiwe	124	17	the	the	DT
cord-258235-khdyxiwe	124	18	UK	UK	NNP
cord-258235-khdyxiwe	124	19	are	be	VBP
cord-258235-khdyxiwe	124	20	considered	consider	VBN
cord-258235-khdyxiwe	124	21	for	for	IN
cord-258235-khdyxiwe	124	22	training	train	VBG
cord-258235-khdyxiwe	124	23	the	the	DT
cord-258235-khdyxiwe	124	24	proposed	propose	VBN
cord-258235-khdyxiwe	124	25	model	model	NN
cord-258235-khdyxiwe	124	26	and	and	CC
cord-258235-khdyxiwe	124	27	the	the	DT
cord-258235-khdyxiwe	124	28	component	component	NN
cord-258235-khdyxiwe	124	29	models	model	NNS
cord-258235-khdyxiwe	124	30	.	.	.
cord-258235-khdyxiwe	125	1	The	the	DT
cord-258235-khdyxiwe	125	2	datasets	dataset	NNS
cord-258235-khdyxiwe	125	3	are	be	VBP
cord-258235-khdyxiwe	125	4	nonlinear	nonlinear	JJ
cord-258235-khdyxiwe	125	5	,	,	,
cord-258235-khdyxiwe	125	6	nonstationary	nonstationary	JJ
cord-258235-khdyxiwe	125	7	,	,	,
cord-258235-khdyxiwe	125	8	and	and	CC
cord-258235-khdyxiwe	125	9	non	non	JJ
cord-258235-khdyxiwe	125	10	-	-	JJ
cord-258235-khdyxiwe	125	11	gaussian	gaussian	JJ
cord-258235-khdyxiwe	125	12	in	in	IN
cord-258235-khdyxiwe	125	13	nature	nature	NN
cord-258235-khdyxiwe	125	14	.	.	.
cord-258235-khdyxiwe	126	1	We	-PRON-	PRP
cord-258235-khdyxiwe	126	2	have	have	VBP
cord-258235-khdyxiwe	126	3	used	use	VBN
cord-258235-khdyxiwe	126	4	root	root	NN
cord-258235-khdyxiwe	126	5	mean	mean	VB
cord-258235-khdyxiwe	126	6	square	square	JJ
cord-258235-khdyxiwe	126	7	error	error	NN
cord-258235-khdyxiwe	126	8	(	(	-LRB-
cord-258235-khdyxiwe	126	9	RMSE	RMSE	NNP
cord-258235-khdyxiwe	126	10	)	)	-RRB-
cord-258235-khdyxiwe	126	11	,	,	,
cord-258235-khdyxiwe	126	12	mean	mean	VB
cord-258235-khdyxiwe	126	13	absolute	absolute	JJ
cord-258235-khdyxiwe	126	14	error	error	NN
cord-258235-khdyxiwe	126	15	(	(	-LRB-
cord-258235-khdyxiwe	126	16	MAE	MAE	NNP
cord-258235-khdyxiwe	126	17	)	)	-RRB-
cord-258235-khdyxiwe	126	18	,	,	,
cord-258235-khdyxiwe	126	19	to	to	TO
cord-258235-khdyxiwe	126	20	evaluate	evaluate	VB
cord-258235-khdyxiwe	126	21	the	the	DT
cord-258235-khdyxiwe	126	22	predictive	predictive	JJ
cord-258235-khdyxiwe	126	23	performance	performance	NN
cord-258235-khdyxiwe	126	24	of	of	IN
cord-258235-khdyxiwe	126	25	the	the	DT
cord-258235-khdyxiwe	126	26	models	model	NNS
cord-258235-khdyxiwe	126	27	used	use	VBN
cord-258235-khdyxiwe	126	28	in	in	IN
cord-258235-khdyxiwe	126	29	this	this	DT
cord-258235-khdyxiwe	126	30	study	study	NN
cord-258235-khdyxiwe	126	31	[	[	-LRB-
cord-258235-khdyxiwe	126	32	17	17	CD
cord-258235-khdyxiwe	126	33	]	]	-RRB-
cord-258235-khdyxiwe	126	34	.	.	.
cord-258235-khdyxiwe	127	1	Since	since	IN
cord-258235-khdyxiwe	127	2	the	the	DT
cord-258235-khdyxiwe	127	3	number	number	NN
cord-258235-khdyxiwe	127	4	of	of	IN
cord-258235-khdyxiwe	127	5	data	datum	NNS
cord-258235-khdyxiwe	127	6	points	point	NNS
cord-258235-khdyxiwe	127	7	in	in	IN
cord-258235-khdyxiwe	127	8	both	both	CC
cord-258235-khdyxiwe	127	9	the	the	DT
cord-258235-khdyxiwe	127	10	datasets	dataset	NNS
cord-258235-khdyxiwe	127	11	is	be	VBZ
cord-258235-khdyxiwe	127	12	limited	limit	VBN
cord-258235-khdyxiwe	127	13	thus	thus	RB
cord-258235-khdyxiwe	127	14	going	go	VBG
cord-258235-khdyxiwe	127	15	for	for	IN
cord-258235-khdyxiwe	127	16	advanced	advanced	JJ
cord-258235-khdyxiwe	127	17	deep	deep	JJ
cord-258235-khdyxiwe	127	18	learning	learning	NN
cord-258235-khdyxiwe	127	19	techniques	technique	NNS
cord-258235-khdyxiwe	127	20	will	will	MD
cord-258235-khdyxiwe	127	21	simply	simply	RB
cord-258235-khdyxiwe	127	22	over	over	RB
cord-258235-khdyxiwe	127	23	-	-	HYPH
cord-258235-khdyxiwe	127	24	fit	fit	VB
cord-258235-khdyxiwe	127	25	the	the	DT
cord-258235-khdyxiwe	127	26	datasets	dataset	NNS
cord-258235-khdyxiwe	127	27	[	[	-LRB-
cord-258235-khdyxiwe	127	28	14	14	CD
cord-258235-khdyxiwe	127	29	]	]	-RRB-
cord-258235-khdyxiwe	127	30	.	.	.
cord-258235-khdyxiwe	128	1	We	-PRON-	PRP
cord-258235-khdyxiwe	128	2	start	start	VBP
cord-258235-khdyxiwe	128	3	the	the	DT
cord-258235-khdyxiwe	128	4	experimental	experimental	JJ
cord-258235-khdyxiwe	128	5	evaluation	evaluation	NN
cord-258235-khdyxiwe	128	6	for	for	IN
cord-258235-khdyxiwe	128	7	all	all	PDT
cord-258235-khdyxiwe	128	8	the	the	DT
cord-258235-khdyxiwe	128	9	five	five	CD
cord-258235-khdyxiwe	128	10	datasets	dataset	NNS
cord-258235-khdyxiwe	128	11	with	with	IN
cord-258235-khdyxiwe	128	12	the	the	DT
cord-258235-khdyxiwe	128	13	classical	classical	JJ
cord-258235-khdyxiwe	128	14	ARIMA(p	arima(p	NN
cord-258235-khdyxiwe	128	15	,	,	,
cord-258235-khdyxiwe	128	16	d	d	NNP
cord-258235-khdyxiwe	128	17	,	,	,
cord-258235-khdyxiwe	128	18	q	q	NNP
cord-258235-khdyxiwe	128	19	)	)	-RRB-
cord-258235-khdyxiwe	128	20	using	use	VBG
cord-258235-khdyxiwe	128	21	'	'	``
cord-258235-khdyxiwe	128	22	forecast	forecast	NN
cord-258235-khdyxiwe	128	23	'	'	''
cord-258235-khdyxiwe	128	24	[	[	-LRB-
cord-258235-khdyxiwe	128	25	16	16	CD
cord-258235-khdyxiwe	128	26	]	]	-RRB-
cord-258235-khdyxiwe	128	27	statistical	statistical	JJ
cord-258235-khdyxiwe	128	28	package	package	NN
cord-258235-khdyxiwe	128	29	in	in	IN
cord-258235-khdyxiwe	128	30	R	r	NN
cord-258235-khdyxiwe	128	31	software	software	NN
cord-258235-khdyxiwe	128	32	.	.	.
cord-258235-khdyxiwe	129	1	To	to	TO
cord-258235-khdyxiwe	129	2	fit	fit	VB
cord-258235-khdyxiwe	129	3	an	an	DT
cord-258235-khdyxiwe	129	4	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	129	5	model	model	NN
cord-258235-khdyxiwe	129	6	,	,	,
cord-258235-khdyxiwe	129	7	we	-PRON-	PRP
cord-258235-khdyxiwe	129	8	first	first	RB
cord-258235-khdyxiwe	129	9	specify	specify	VBP
cord-258235-khdyxiwe	129	10	the	the	DT
cord-258235-khdyxiwe	129	11	parameters	parameter	NNS
cord-258235-khdyxiwe	129	12	of	of	IN
cord-258235-khdyxiwe	129	13	the	the	DT
cord-258235-khdyxiwe	129	14	model	model	NN
cord-258235-khdyxiwe	129	15	.	.	.
cord-258235-khdyxiwe	130	1	Using	use	VBG
cord-258235-khdyxiwe	130	2	ACF	ACF	NNP
cord-258235-khdyxiwe	130	3	plot	plot	NN
cord-258235-khdyxiwe	130	4	and	and	CC
cord-258235-khdyxiwe	130	5	PACF	PACF	NNP
cord-258235-khdyxiwe	130	6	plot	plot	NN
cord-258235-khdyxiwe	130	7	(	(	-LRB-
cord-258235-khdyxiwe	130	8	See	see	VB
cord-258235-khdyxiwe	130	9	Table	table	NN
cord-258235-khdyxiwe	130	10	1	1	CD
cord-258235-khdyxiwe	130	11	)	)	-RRB-
cord-258235-khdyxiwe	130	12	,	,	,
cord-258235-khdyxiwe	130	13	we	-PRON-	PRP
cord-258235-khdyxiwe	130	14	can	can	MD
cord-258235-khdyxiwe	130	15	decide	decide	VB
cord-258235-khdyxiwe	130	16	the	the	DT
cord-258235-khdyxiwe	130	17	value	value	NN
cord-258235-khdyxiwe	130	18	of	of	IN
cord-258235-khdyxiwe	130	19	the	the	DT
cord-258235-khdyxiwe	130	20	parameters	parameter	NNS
cord-258235-khdyxiwe	130	21	of	of	IN
cord-258235-khdyxiwe	130	22	the	the	DT
cord-258235-khdyxiwe	130	23	model	model	NN
cord-258235-khdyxiwe	130	24	.	.	.
cord-258235-khdyxiwe	131	1	We	-PRON-	PRP
cord-258235-khdyxiwe	131	2	have	have	VBP
cord-258235-khdyxiwe	131	3	also	also	RB
cord-258235-khdyxiwe	131	4	performed	perform	VBN
cord-258235-khdyxiwe	131	5	unit	unit	NN
cord-258235-khdyxiwe	131	6	root	root	NN
cord-258235-khdyxiwe	131	7	tests	test	NNS
cord-258235-khdyxiwe	131	8	for	for	IN
cord-258235-khdyxiwe	131	9	stationarity	stationarity	NN
cord-258235-khdyxiwe	131	10	check	check	NN
cord-258235-khdyxiwe	131	11	and	and	CC
cord-258235-khdyxiwe	131	12	all	all	PDT
cord-258235-khdyxiwe	131	13	the	the	DT
cord-258235-khdyxiwe	131	14	datasets	dataset	NNS
cord-258235-khdyxiwe	131	15	were	be	VBD
cord-258235-khdyxiwe	131	16	found	find	VBN
cord-258235-khdyxiwe	131	17	nonstationary	nonstationary	JJ
cord-258235-khdyxiwe	131	18	.	.	.
cord-258235-khdyxiwe	132	1	The	the	DT
cord-258235-khdyxiwe	132	2	'	'	``
cord-258235-khdyxiwe	132	3	best	good	JJS
cord-258235-khdyxiwe	132	4	'	'	''
cord-258235-khdyxiwe	132	5	fitted	fit	VBN
cord-258235-khdyxiwe	132	6	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	132	7	model	model	NN
cord-258235-khdyxiwe	132	8	is	be	VBZ
cord-258235-khdyxiwe	132	9	chosen	choose	VBN
cord-258235-khdyxiwe	132	10	using	use	VBG
cord-258235-khdyxiwe	132	11	AIC	AIC	NNP
cord-258235-khdyxiwe	132	12	and	and	CC
cord-258235-khdyxiwe	132	13	BIC	BIC	NNP
cord-258235-khdyxiwe	132	14	values	value	NNS
cord-258235-khdyxiwe	132	15	for	for	IN
cord-258235-khdyxiwe	132	16	each	each	DT
cord-258235-khdyxiwe	132	17	training	training	NN
cord-258235-khdyxiwe	132	18	dataset	dataset	NN
cord-258235-khdyxiwe	132	19	.	.	.
cord-258235-khdyxiwe	133	1	The	the	DT
cord-258235-khdyxiwe	133	2	fitted	fit	VBN
cord-258235-khdyxiwe	133	3	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	133	4	models	model	NNS
cord-258235-khdyxiwe	133	5	for	for	IN
cord-258235-khdyxiwe	133	6	five	five	CD
cord-258235-khdyxiwe	133	7	datasets	dataset	NNS
cord-258235-khdyxiwe	133	8	are	be	VBP
cord-258235-khdyxiwe	133	9	as	as	IN
cord-258235-khdyxiwe	133	10	follows	follow	VBZ
cord-258235-khdyxiwe	133	11	:	:	:
cord-258235-khdyxiwe	134	1	ARIMA(1,2,1	ARIMA(1,2,1	NNP
cord-258235-khdyxiwe	134	2	)	)	-RRB-
cord-258235-khdyxiwe	134	3	for	for	IN
cord-258235-khdyxiwe	134	4	India	India	NNP
cord-258235-khdyxiwe	134	5	,	,	,
cord-258235-khdyxiwe	134	6	ARIMA(1,1,2	ARIMA(1,1,2	NNP
cord-258235-khdyxiwe	134	7	)	)	-RRB-
cord-258235-khdyxiwe	134	8	for	for	IN
cord-258235-khdyxiwe	134	9	Canada	Canada	NNP
cord-258235-khdyxiwe	134	10	,	,	,
cord-258235-khdyxiwe	134	11	ARIMA(0,1,1	ARIMA(0,1,1	NNP
cord-258235-khdyxiwe	134	12	)	)	-RRB-
cord-258235-khdyxiwe	134	13	for	for	IN
cord-258235-khdyxiwe	134	14	France	France	NNP
cord-258235-khdyxiwe	134	15	,	,	,
cord-258235-khdyxiwe	134	16	ARIMA(2,1,0	arima(2,1,0	NN
cord-258235-khdyxiwe	134	17	)	)	-RRB-
cord-258235-khdyxiwe	134	18	for	for	IN
cord-258235-khdyxiwe	134	19	South	South	NNP
cord-258235-khdyxiwe	134	20	Korea	Korea	NNP
cord-258235-khdyxiwe	134	21	,	,	,
cord-258235-khdyxiwe	134	22	and	and	CC
cord-258235-khdyxiwe	134	23	ARIMA(2,2,2	ARIMA(2,2,2	NNP
cord-258235-khdyxiwe	134	24	)	)	-RRB-
cord-258235-khdyxiwe	134	25	for	for	IN
cord-258235-khdyxiwe	134	26	the	the	DT
cord-258235-khdyxiwe	134	27	UK	UK	NNP
cord-258235-khdyxiwe	134	28	.	.	.
cord-258235-khdyxiwe	135	1	We	-PRON-	PRP
cord-258235-khdyxiwe	135	2	employ	employ	VBP
cord-258235-khdyxiwe	135	3	a	a	DT
cord-258235-khdyxiwe	135	4	pre	pre	NN
cord-258235-khdyxiwe	135	5	-	-	JJ
cord-258235-khdyxiwe	135	6	defined	define	VBN
cord-258235-khdyxiwe	135	7	Box	Box	NNP
cord-258235-khdyxiwe	135	8	-	-	HYPH
cord-258235-khdyxiwe	135	9	Cox	Cox	NNP
cord-258235-khdyxiwe	135	10	transformation	transformation	NN
cord-258235-khdyxiwe	135	11	set	set	VBN
cord-258235-khdyxiwe	135	12	to	to	IN
cord-258235-khdyxiwe	135	13	λ	λ	NN
cord-258235-khdyxiwe	135	14	=	=	SYM
cord-258235-khdyxiwe	135	15	0	0	NFP
cord-258235-khdyxiwe	135	16	to	to	TO
cord-258235-khdyxiwe	135	17	ensure	ensure	VB
cord-258235-khdyxiwe	135	18	the	the	DT
cord-258235-khdyxiwe	135	19	forecast	forecast	NN
cord-258235-khdyxiwe	135	20	values	value	NNS
cord-258235-khdyxiwe	135	21	stay	stay	VBP
cord-258235-khdyxiwe	135	22	positive	positive	JJ
cord-258235-khdyxiwe	135	23	.	.	.
cord-258235-khdyxiwe	136	1	As	as	IN
cord-258235-khdyxiwe	136	2	the	the	DT
cord-258235-khdyxiwe	136	3	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	136	4	model	model	NN
cord-258235-khdyxiwe	136	5	is	be	VBZ
cord-258235-khdyxiwe	136	6	fitted	fit	VBN
cord-258235-khdyxiwe	136	7	,	,	,
cord-258235-khdyxiwe	136	8	forecasts	forecast	NNS
cord-258235-khdyxiwe	136	9	are	be	VBP
cord-258235-khdyxiwe	136	10	generated	generate	VBN
cord-258235-khdyxiwe	136	11	for	for	IN
cord-258235-khdyxiwe	136	12	10-time	10-time	JJ
cord-258235-khdyxiwe	136	13	steps	step	NNS
cord-258235-khdyxiwe	136	14	(	(	-LRB-
cord-258235-khdyxiwe	136	15	5	5	CD
cord-258235-khdyxiwe	136	16	April	April	NNP
cord-258235-khdyxiwe	136	17	2020	2020	CD
cord-258235-khdyxiwe	136	18	to	to	IN
cord-258235-khdyxiwe	136	19	14	14	CD
cord-258235-khdyxiwe	136	20	April	April	NNP
cord-258235-khdyxiwe	136	21	2020	2020	CD
cord-258235-khdyxiwe	136	22	)	)	-RRB-
cord-258235-khdyxiwe	136	23	for	for	IN
cord-258235-khdyxiwe	136	24	all	all	PDT
cord-258235-khdyxiwe	136	25	the	the	DT
cord-258235-khdyxiwe	136	26	five	five	CD
cord-258235-khdyxiwe	136	27	datasets	dataset	NNS
cord-258235-khdyxiwe	136	28	.	.	.
cord-258235-khdyxiwe	137	1	We	-PRON-	PRP
cord-258235-khdyxiwe	137	2	also	also	RB
cord-258235-khdyxiwe	137	3	compute	compute	VBP
cord-258235-khdyxiwe	137	4	training	training	NN
cord-258235-khdyxiwe	137	5	data	datum	NNS
cord-258235-khdyxiwe	137	6	predicted	predict	VBD
cord-258235-khdyxiwe	137	7	values	value	NNS
cord-258235-khdyxiwe	137	8	and	and	CC
cord-258235-khdyxiwe	137	9	calculate	calculate	VB
cord-258235-khdyxiwe	137	10	the	the	DT
cord-258235-khdyxiwe	137	11	residual	residual	JJ
cord-258235-khdyxiwe	137	12	errors	error	NNS
cord-258235-khdyxiwe	137	13	.	.	.
cord-258235-khdyxiwe	138	1	Plots	plot	NNS
cord-258235-khdyxiwe	138	2	for	for	IN
cord-258235-khdyxiwe	138	3	the	the	DT
cord-258235-khdyxiwe	138	4	residual	residual	JJ
cord-258235-khdyxiwe	138	5	series	series	NN
cord-258235-khdyxiwe	138	6	are	be	VBP
cord-258235-khdyxiwe	138	7	given	give	VBN
cord-258235-khdyxiwe	138	8	in	in	IN
cord-258235-khdyxiwe	138	9	Figure	figure	NN
cord-258235-khdyxiwe	138	10	1	1	CD
cord-258235-khdyxiwe	138	11	.	.	.
cord-258235-khdyxiwe	139	1	It	-PRON-	PRP
cord-258235-khdyxiwe	139	2	is	be	VBZ
cord-258235-khdyxiwe	139	3	interesting	interesting	JJ
cord-258235-khdyxiwe	139	4	to	to	TO
cord-258235-khdyxiwe	139	5	see	see	VB
cord-258235-khdyxiwe	139	6	that	that	IN
cord-258235-khdyxiwe	139	7	the	the	DT
cord-258235-khdyxiwe	139	8	error	error	NN
cord-258235-khdyxiwe	139	9	series	series	NN
cord-258235-khdyxiwe	139	10	(	(	-LRB-
cord-258235-khdyxiwe	139	11	residuals	residual	NNS
cord-258235-khdyxiwe	139	12	)	)	-RRB-
cord-258235-khdyxiwe	139	13	generated	generate	VBN
cord-258235-khdyxiwe	139	14	by	by	IN
cord-258235-khdyxiwe	139	15	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	139	16	are	be	VBP
cord-258235-khdyxiwe	139	17	oscillating	oscillate	VBG
cord-258235-khdyxiwe	139	18	and	and	CC
cord-258235-khdyxiwe	139	19	nonstationary	nonstationary	JJ
cord-258235-khdyxiwe	139	20	for	for	IN
cord-258235-khdyxiwe	139	21	all	all	PDT
cord-258235-khdyxiwe	139	22	the	the	DT
cord-258235-khdyxiwe	139	23	datasets	dataset	NNS
cord-258235-khdyxiwe	139	24	.	.	.
cord-258235-khdyxiwe	140	1	These	these	DT
cord-258235-khdyxiwe	140	2	seasonal	seasonal	JJ
cord-258235-khdyxiwe	140	3	oscillations	oscillation	NNS
cord-258235-khdyxiwe	140	4	can	can	MD
cord-258235-khdyxiwe	140	5	be	be	VB
cord-258235-khdyxiwe	140	6	captured	capture	VBN
cord-258235-khdyxiwe	140	7	through	through	IN
cord-258235-khdyxiwe	140	8	the	the	DT
cord-258235-khdyxiwe	140	9	wavelet	wavelet	NN
cord-258235-khdyxiwe	140	10	transform	transform	NN
cord-258235-khdyxiwe	140	11	,	,	,
cord-258235-khdyxiwe	140	12	which	which	WDT
cord-258235-khdyxiwe	140	13	can	can	MD
cord-258235-khdyxiwe	140	14	decompose	decompose	VB
cord-258235-khdyxiwe	140	15	a	a	DT
cord-258235-khdyxiwe	140	16	time	time	NN
cord-258235-khdyxiwe	140	17	series	series	NN
cord-258235-khdyxiwe	140	18	into	into	IN
cord-258235-khdyxiwe	140	19	a	a	DT
cord-258235-khdyxiwe	140	20	linear	linear	JJ
cord-258235-khdyxiwe	140	21	combination	combination	NN
cord-258235-khdyxiwe	140	22	of	of	IN
cord-258235-khdyxiwe	140	23	different	different	JJ
cord-258235-khdyxiwe	140	24	frequencies	frequency	NNS
cord-258235-khdyxiwe	140	25	.	.	.
cord-258235-khdyxiwe	141	1	These	these	DT
cord-258235-khdyxiwe	141	2	residual	residual	JJ
cord-258235-khdyxiwe	141	3	series	series	NN
cord-258235-khdyxiwe	141	4	as	as	IN
cord-258235-khdyxiwe	141	5	in	in	IN
cord-258235-khdyxiwe	141	6	Figure	figure	NN
cord-258235-khdyxiwe	141	7	1	1	CD
cord-258235-khdyxiwe	141	8	)	)	-RRB-
cord-258235-khdyxiwe	141	9	satisfy	satisfy	VB
cord-258235-khdyxiwe	141	10	the	the	DT
cord-258235-khdyxiwe	141	11	admissibility	admissibility	NN
cord-258235-khdyxiwe	141	12	condition	condition	NN
cord-258235-khdyxiwe	141	13	(	(	-LRB-
cord-258235-khdyxiwe	141	14	zero	zero	CD
cord-258235-khdyxiwe	141	15	mean	mean	NN
cord-258235-khdyxiwe	141	16	)	)	-RRB-
cord-258235-khdyxiwe	141	17	that	that	IN
cord-258235-khdyxiwe	141	18	forces	force	NNS
cord-258235-khdyxiwe	141	19	wavelet	wavelet	VBP
cord-258235-khdyxiwe	141	20	functions	function	NNS
cord-258235-khdyxiwe	141	21	to	to	TO
cord-258235-khdyxiwe	141	22	wiggle	wiggle	VB
cord-258235-khdyxiwe	141	23	(	(	-LRB-
cord-258235-khdyxiwe	141	24	oscillate	oscillate	VB
cord-258235-khdyxiwe	141	25	between	between	IN
cord-258235-khdyxiwe	141	26	positive	positive	JJ
cord-258235-khdyxiwe	141	27	and	and	CC
cord-258235-khdyxiwe	141	28	negative	negative	JJ
cord-258235-khdyxiwe	141	29	)	)	-RRB-
cord-258235-khdyxiwe	141	30	,	,	,
cord-258235-khdyxiwe	141	31	a	a	DT
cord-258235-khdyxiwe	141	32	typical	typical	JJ
cord-258235-khdyxiwe	141	33	property	property	NN
cord-258235-khdyxiwe	141	34	of	of	IN
cord-258235-khdyxiwe	141	35	wavelets	wavelet	NNS
cord-258235-khdyxiwe	141	36	.	.	.
cord-258235-khdyxiwe	142	1	Thus	thus	RB
cord-258235-khdyxiwe	142	2	,	,	,
cord-258235-khdyxiwe	142	3	we	-PRON-	PRP
cord-258235-khdyxiwe	142	4	remodel	remodel	VBP
cord-258235-khdyxiwe	142	5	the	the	DT
cord-258235-khdyxiwe	142	6	residuals	residual	NNS
cord-258235-khdyxiwe	142	7	obtained	obtain	VBN
cord-258235-khdyxiwe	142	8	using	use	VBG
cord-258235-khdyxiwe	142	9	the	the	DT
cord-258235-khdyxiwe	142	10	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	142	11	model	model	NN
cord-258235-khdyxiwe	142	12	with	with	IN
cord-258235-khdyxiwe	142	13	that	that	DT
cord-258235-khdyxiwe	142	14	of	of	IN
cord-258235-khdyxiwe	142	15	the	the	DT
cord-258235-khdyxiwe	142	16	WBF	WBF	NNP
cord-258235-khdyxiwe	142	17	model	model	NN
cord-258235-khdyxiwe	142	18	.	.	.
cord-258235-khdyxiwe	143	1	The	the	DT
cord-258235-khdyxiwe	143	2	value	value	NN
cord-258235-khdyxiwe	143	3	of	of	IN
cord-258235-khdyxiwe	143	4	Wavelet	wavelet	JJ
cord-258235-khdyxiwe	143	5	levels	level	NNS
cord-258235-khdyxiwe	143	6	is	be	VBZ
cord-258235-khdyxiwe	143	7	obtained	obtain	VBN
cord-258235-khdyxiwe	143	8	by	by	IN
cord-258235-khdyxiwe	143	9	using	use	VBG
cord-258235-khdyxiwe	143	10	the	the	DT
cord-258235-khdyxiwe	143	11	formula	formula	NN
cord-258235-khdyxiwe	143	12	,	,	,
cord-258235-khdyxiwe	143	13	as	as	IN
cord-258235-khdyxiwe	143	14	mentioned	mention	VBN
cord-258235-khdyxiwe	143	15	in	in	IN
cord-258235-khdyxiwe	143	16	Algorithm	Algorithm	NNP
cord-258235-khdyxiwe	143	17	1	1	CD
cord-258235-khdyxiwe	143	18	.	.	.
cord-258235-khdyxiwe	144	1	WBF	WBF	NNP
cord-258235-khdyxiwe	144	2	model	model	NN
cord-258235-khdyxiwe	144	3	was	be	VBD
cord-258235-khdyxiwe	144	4	implemented	implement	VBN
cord-258235-khdyxiwe	144	5	using	use	VBG
cord-258235-khdyxiwe	144	6	'	'	``
cord-258235-khdyxiwe	144	7	WaveletArima	WaveletArima	NNP
cord-258235-khdyxiwe	144	8	'	'	''
cord-258235-khdyxiwe	144	9	[	[	-LRB-
cord-258235-khdyxiwe	144	10	26	26	CD
cord-258235-khdyxiwe	144	11	]	]	-RRB-
cord-258235-khdyxiwe	144	12	package	package	NN
cord-258235-khdyxiwe	144	13	in	in	IN
cord-258235-khdyxiwe	144	14	R	r	NN
cord-258235-khdyxiwe	144	15	software	software	NN
cord-258235-khdyxiwe	144	16	with	with	IN
cord-258235-khdyxiwe	144	17	'	'	``
cord-258235-khdyxiwe	144	18	periodic	periodic	JJ
cord-258235-khdyxiwe	144	19	'	'	''
cord-258235-khdyxiwe	144	20	boundary	boundary	NN
cord-258235-khdyxiwe	144	21	and	and	CC
cord-258235-khdyxiwe	144	22	all	all	PDT
cord-258235-khdyxiwe	144	23	the	the	DT
cord-258235-khdyxiwe	144	24	other	other	JJ
cord-258235-khdyxiwe	144	25	parameters	parameter	NNS
cord-258235-khdyxiwe	144	26	were	be	VBD
cord-258235-khdyxiwe	144	27	kept	keep	VBN
cord-258235-khdyxiwe	144	28	as	as	IN
cord-258235-khdyxiwe	144	29	default	default	NN
cord-258235-khdyxiwe	144	30	.	.	.
cord-258235-khdyxiwe	145	1	As	as	IN
cord-258235-khdyxiwe	145	2	the	the	DT
cord-258235-khdyxiwe	145	3	WBF	WBF	NNP
cord-258235-khdyxiwe	145	4	model	model	NN
cord-258235-khdyxiwe	145	5	is	be	VBZ
cord-258235-khdyxiwe	145	6	fitted	fit	VBN
cord-258235-khdyxiwe	145	7	on	on	IN
cord-258235-khdyxiwe	145	8	the	the	DT
cord-258235-khdyxiwe	145	9	residual	residual	JJ
cord-258235-khdyxiwe	145	10	time	time	NN
cord-258235-khdyxiwe	145	11	series	series	NN
cord-258235-khdyxiwe	145	12	,	,	,
cord-258235-khdyxiwe	145	13	predictions	prediction	NNS
cord-258235-khdyxiwe	145	14	are	be	VBP
cord-258235-khdyxiwe	145	15	generated	generate	VBN
cord-258235-khdyxiwe	145	16	for	for	IN
cord-258235-khdyxiwe	145	17	the	the	DT
cord-258235-khdyxiwe	145	18	next	next	JJ
cord-258235-khdyxiwe	145	19	ten	ten	CD
cord-258235-khdyxiwe	145	20	time	time	NN
cord-258235-khdyxiwe	145	21	steps	step	NNS
cord-258235-khdyxiwe	145	22	(	(	-LRB-
cord-258235-khdyxiwe	145	23	5	5	CD
cord-258235-khdyxiwe	145	24	April	April	NNP
cord-258235-khdyxiwe	145	25	2020	2020	CD
cord-258235-khdyxiwe	145	26	to	to	IN
cord-258235-khdyxiwe	145	27	14	14	CD
cord-258235-khdyxiwe	145	28	April	April	NNP
cord-258235-khdyxiwe	145	29	2020	2020	CD
cord-258235-khdyxiwe	145	30	)	)	-RRB-
cord-258235-khdyxiwe	145	31	.	.	.
cord-258235-khdyxiwe	146	1	Further	further	RB
cord-258235-khdyxiwe	146	2	,	,	,
cord-258235-khdyxiwe	146	3	both	both	CC
cord-258235-khdyxiwe	146	4	the	the	DT
cord-258235-khdyxiwe	146	5	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	146	6	forecasts	forecast	NNS
cord-258235-khdyxiwe	146	7	and	and	CC
cord-258235-khdyxiwe	146	8	WBF	WBF	NNP
cord-258235-khdyxiwe	146	9	residual	residual	JJ
cord-258235-khdyxiwe	146	10	forecasts	forecast	NNS
cord-258235-khdyxiwe	146	11	are	be	VBP
cord-258235-khdyxiwe	146	12	added	add	VBN
cord-258235-khdyxiwe	146	13	together	together	RB
cord-258235-khdyxiwe	146	14	to	to	TO
cord-258235-khdyxiwe	146	15	get	get	VB
cord-258235-khdyxiwe	146	16	the	the	DT
cord-258235-khdyxiwe	146	17	final	final	JJ
cord-258235-khdyxiwe	146	18	out	out	NN
cord-258235-khdyxiwe	146	19	-	-	HYPH
cord-258235-khdyxiwe	146	20	of	of	IN
cord-258235-khdyxiwe	146	21	-	-	HYPH
cord-258235-khdyxiwe	146	22	sample	sample	NN
cord-258235-khdyxiwe	146	23	forecasts	forecast	NNS
cord-258235-khdyxiwe	146	24	for	for	IN
cord-258235-khdyxiwe	146	25	the	the	DT
cord-258235-khdyxiwe	146	26	next	next	JJ
cord-258235-khdyxiwe	146	27	ten	ten	CD
cord-258235-khdyxiwe	146	28	days	day	NNS
cord-258235-khdyxiwe	146	29	(	(	-LRB-
cord-258235-khdyxiwe	146	30	5	5	CD
cord-258235-khdyxiwe	146	31	April	April	NNP
cord-258235-khdyxiwe	146	32	2020	2020	CD
cord-258235-khdyxiwe	146	33	to	to	IN
cord-258235-khdyxiwe	146	34	14	14	CD
cord-258235-khdyxiwe	146	35	April	April	NNP
cord-258235-khdyxiwe	146	36	2020	2020	CD
cord-258235-khdyxiwe	146	37	)	)	-RRB-
cord-258235-khdyxiwe	146	38	.	.	.
cord-258235-khdyxiwe	147	1	The	the	DT
cord-258235-khdyxiwe	147	2	hybrid	hybrid	JJ
cord-258235-khdyxiwe	147	3	model	model	NN
cord-258235-khdyxiwe	147	4	fittings	fitting	NNS
cord-258235-khdyxiwe	147	5	(	(	-LRB-
cord-258235-khdyxiwe	147	6	training	training	NN
cord-258235-khdyxiwe	147	7	data	datum	NNS
cord-258235-khdyxiwe	147	8	)	)	-RRB-
cord-258235-khdyxiwe	147	9	for	for	IN
cord-258235-khdyxiwe	147	10	five	five	CD
cord-258235-khdyxiwe	147	11	countries	country	NNS
cord-258235-khdyxiwe	147	12	,	,	,
cord-258235-khdyxiwe	147	13	namely	namely	RB
cord-258235-khdyxiwe	147	14	Canada	Canada	NNP
cord-258235-khdyxiwe	147	15	,	,	,
cord-258235-khdyxiwe	147	16	France	France	NNP
cord-258235-khdyxiwe	147	17	,	,	,
cord-258235-khdyxiwe	147	18	India	India	NNP
cord-258235-khdyxiwe	147	19	,	,	,
cord-258235-khdyxiwe	147	20	South	South	NNP
cord-258235-khdyxiwe	147	21	Korea	Korea	NNP
cord-258235-khdyxiwe	147	22	and	and	CC
cord-258235-khdyxiwe	147	23	the	the	DT
cord-258235-khdyxiwe	147	24	UK	UK	NNP
cord-258235-khdyxiwe	147	25	are	be	VBP
cord-258235-khdyxiwe	147	26	displayed	display	VBN
cord-258235-khdyxiwe	147	27	in	in	IN
cord-258235-khdyxiwe	147	28	Figures	figure	NNS
cord-258235-khdyxiwe	147	29	2(a	2(a	CD
cord-258235-khdyxiwe	147	30	)	)	-RRB-
cord-258235-khdyxiwe	147	31	,	,	,
cord-258235-khdyxiwe	147	32	3(a	3(a	CD
cord-258235-khdyxiwe	147	33	)	)	-RRB-
cord-258235-khdyxiwe	147	34	,	,	,
cord-258235-khdyxiwe	147	35	4(a	4(a	CD
cord-258235-khdyxiwe	147	36	)	)	-RRB-
cord-258235-khdyxiwe	147	37	,	,	,
cord-258235-khdyxiwe	147	38	5(a	5(a	CD
cord-258235-khdyxiwe	147	39	)	)	-RRB-
cord-258235-khdyxiwe	147	40	and	and	CC
cord-258235-khdyxiwe	147	41	6(a	6(a	CD
cord-258235-khdyxiwe	147	42	)	)	-RRB-
cord-258235-khdyxiwe	147	43	respectively	respectively	RB
cord-258235-khdyxiwe	147	44	.	.	.
cord-258235-khdyxiwe	148	1	The	the	DT
cord-258235-khdyxiwe	148	2	real	real	JJ
cord-258235-khdyxiwe	148	3	-	-	HYPH
cord-258235-khdyxiwe	148	4	time	time	NN
cord-258235-khdyxiwe	148	5	(	(	-LRB-
cord-258235-khdyxiwe	148	6	short	short	JJ
cord-258235-khdyxiwe	148	7	-	-	HYPH
cord-258235-khdyxiwe	148	8	term	term	NN
cord-258235-khdyxiwe	148	9	)	)	-RRB-
cord-258235-khdyxiwe	148	10	forecasts	forecast	NNS
cord-258235-khdyxiwe	148	11	using	use	VBG
cord-258235-khdyxiwe	148	12	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	148	13	,	,	,
cord-258235-khdyxiwe	148	14	WBF	WBF	NNP
cord-258235-khdyxiwe	148	15	,	,	,
cord-258235-khdyxiwe	148	16	and	and	CC
cord-258235-khdyxiwe	148	17	hybrid	hybrid	JJ
cord-258235-khdyxiwe	148	18	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	148	19	-	-	HYPH
cord-258235-khdyxiwe	148	20	WBF	WBF	NNP
cord-258235-khdyxiwe	148	21	model	model	NN
cord-258235-khdyxiwe	148	22	for	for	IN
cord-258235-khdyxiwe	148	23	Canada	Canada	NNP
cord-258235-khdyxiwe	148	24	,	,	,
cord-258235-khdyxiwe	148	25	France	France	NNP
cord-258235-khdyxiwe	148	26	,	,	,
cord-258235-khdyxiwe	148	27	India	India	NNP
cord-258235-khdyxiwe	148	28	,	,	,
cord-258235-khdyxiwe	148	29	South	South	NNP
cord-258235-khdyxiwe	148	30	Korea	Korea	NNP
cord-258235-khdyxiwe	148	31	,	,	,
cord-258235-khdyxiwe	148	32	and	and	CC
cord-258235-khdyxiwe	148	33	the	the	DT
cord-258235-khdyxiwe	148	34	UK	UK	NNP
cord-258235-khdyxiwe	148	35	are	be	VBP
cord-258235-khdyxiwe	148	36	displayed	display	VBN
cord-258235-khdyxiwe	148	37	in	in	IN
cord-258235-khdyxiwe	148	38	Figures	figure	NNS
cord-258235-khdyxiwe	148	39	2(b	2(b	CD
cord-258235-khdyxiwe	148	40	)	)	-RRB-
cord-258235-khdyxiwe	148	41	,	,	,
cord-258235-khdyxiwe	148	42	3(b	3(b	CD
cord-258235-khdyxiwe	148	43	)	)	-RRB-
cord-258235-khdyxiwe	148	44	,	,	,
cord-258235-khdyxiwe	148	45	4(b	4(b	CD
cord-258235-khdyxiwe	148	46	)	)	-RRB-
cord-258235-khdyxiwe	148	47	,	,	,
cord-258235-khdyxiwe	148	48	5(b	5(b	CD
cord-258235-khdyxiwe	148	49	)	)	-RRB-
cord-258235-khdyxiwe	148	50	and	and	CC
cord-258235-khdyxiwe	148	51	6(b	6(b	LS
cord-258235-khdyxiwe	148	52	)	)	-RRB-
cord-258235-khdyxiwe	148	53	respectively	respectively	RB
cord-258235-khdyxiwe	148	54	.	.	.
cord-258235-khdyxiwe	149	1	The	the	DT
cord-258235-khdyxiwe	149	2	predicted	predict	VBN
cord-258235-khdyxiwe	149	3	values	value	NNS
cord-258235-khdyxiwe	149	4	for	for	IN
cord-258235-khdyxiwe	149	5	the	the	DT
cord-258235-khdyxiwe	149	6	training	training	NN
cord-258235-khdyxiwe	149	7	COVID-19	covid-19	CD
cord-258235-khdyxiwe	149	8	cases	case	NNS
cord-258235-khdyxiwe	149	9	datasets	dataset	NNS
cord-258235-khdyxiwe	149	10	of	of	IN
cord-258235-khdyxiwe	149	11	the	the	DT
cord-258235-khdyxiwe	149	12	proposed	propose	VBN
cord-258235-khdyxiwe	149	13	hybrid	hybrid	NN
cord-258235-khdyxiwe	149	14	model	model	NN
cord-258235-khdyxiwe	149	15	for	for	IN
cord-258235-khdyxiwe	149	16	five	five	CD
cord-258235-khdyxiwe	149	17	countries	country	NNS
cord-258235-khdyxiwe	149	18	are	be	VBP
cord-258235-khdyxiwe	149	19	further	further	RB
cord-258235-khdyxiwe	149	20	used	use	VBN
cord-258235-khdyxiwe	149	21	for	for	IN
cord-258235-khdyxiwe	149	22	model	model	NN
cord-258235-khdyxiwe	149	23	adequacy	adequacy	NN
cord-258235-khdyxiwe	149	24	checking	checking	NN
cord-258235-khdyxiwe	149	25	and	and	CC
cord-258235-khdyxiwe	149	26	based	base	VBN
cord-258235-khdyxiwe	149	27	on	on	IN
cord-258235-khdyxiwe	149	28	actual	actual	JJ
cord-258235-khdyxiwe	149	29	and	and	CC
cord-258235-khdyxiwe	149	30	predicted	predict	VBD
cord-258235-khdyxiwe	149	31	test	test	NN
cord-258235-khdyxiwe	149	32	outputs	output	NNS
cord-258235-khdyxiwe	150	1	,	,	,
cord-258235-khdyxiwe	150	2	we	-PRON-	PRP
cord-258235-khdyxiwe	150	3	computed	compute	VBD
cord-258235-khdyxiwe	150	4	RMSE	RMSE	NNP
cord-258235-khdyxiwe	150	5	and	and	CC
cord-258235-khdyxiwe	150	6	MAE	MAE	NNP
cord-258235-khdyxiwe	150	7	for	for	IN
cord-258235-khdyxiwe	150	8	all	all	PDT
cord-258235-khdyxiwe	150	9	the	the	DT
cord-258235-khdyxiwe	150	10	datasets	dataset	NNS
cord-258235-khdyxiwe	150	11	and	and	CC
cord-258235-khdyxiwe	150	12	reported	report	VBD
cord-258235-khdyxiwe	150	13	them	-PRON-	PRP
cord-258235-khdyxiwe	150	14	in	in	IN
cord-258235-khdyxiwe	150	15	Table	Table	NNP
cord-258235-khdyxiwe	150	16	2	2	CD
cord-258235-khdyxiwe	150	17	.	.	.
cord-258235-khdyxiwe	151	1	The	the	DT
cord-258235-khdyxiwe	151	2	performances	performance	NNS
cord-258235-khdyxiwe	151	3	of	of	IN
cord-258235-khdyxiwe	151	4	the	the	DT
cord-258235-khdyxiwe	151	5	proposed	propose	VBN
cord-258235-khdyxiwe	151	6	hybrid	hybrid	NN
cord-258235-khdyxiwe	151	7	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	151	8	-	-	HYPH
cord-258235-khdyxiwe	151	9	WBF	WBF	NNP
cord-258235-khdyxiwe	151	10	model	model	NN
cord-258235-khdyxiwe	151	11	are	be	VBP
cord-258235-khdyxiwe	151	12	superior	superior	JJ
cord-258235-khdyxiwe	151	13	as	as	IN
cord-258235-khdyxiwe	151	14	compared	compare	VBN
cord-258235-khdyxiwe	151	15	to	to	IN
cord-258235-khdyxiwe	151	16	the	the	DT
cord-258235-khdyxiwe	151	17	individual	individual	JJ
cord-258235-khdyxiwe	151	18	models	model	NNS
cord-258235-khdyxiwe	151	19	for	for	IN
cord-258235-khdyxiwe	151	20	Canada	Canada	NNP
cord-258235-khdyxiwe	151	21	,	,	,
cord-258235-khdyxiwe	151	22	France	France	NNP
cord-258235-khdyxiwe	151	23	,	,	,
cord-258235-khdyxiwe	151	24	and	and	CC
cord-258235-khdyxiwe	151	25	the	the	DT
cord-258235-khdyxiwe	151	26	UK	UK	NNP
cord-258235-khdyxiwe	151	27	,	,	,
cord-258235-khdyxiwe	151	28	whereas	whereas	RB
cord-258235-khdyxiwe	151	29	,	,	,
cord-258235-khdyxiwe	151	30	for	for	IN
cord-258235-khdyxiwe	151	31	India	India	NNP
cord-258235-khdyxiwe	151	32	and	and	CC
cord-258235-khdyxiwe	151	33	South	South	NNP
cord-258235-khdyxiwe	151	34	Korea	Korea	NNP
cord-258235-khdyxiwe	151	35	,	,	,
cord-258235-khdyxiwe	151	36	our	-PRON-	PRP$
cord-258235-khdyxiwe	151	37	results	result	NNS
cord-258235-khdyxiwe	151	38	are	be	VBP
cord-258235-khdyxiwe	151	39	competitive	competitive	JJ
cord-258235-khdyxiwe	151	40	with	with	IN
cord-258235-khdyxiwe	151	41	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	151	42	.	.	.
cord-258235-khdyxiwe	152	1	It	-PRON-	PRP
cord-258235-khdyxiwe	152	2	is	be	VBZ
cord-258235-khdyxiwe	152	3	often	often	RB
cord-258235-khdyxiwe	152	4	true	true	JJ
cord-258235-khdyxiwe	152	5	that	that	IN
cord-258235-khdyxiwe	152	6	no	no	DT
cord-258235-khdyxiwe	152	7	model	model	NN
cord-258235-khdyxiwe	152	8	can	can	MD
cord-258235-khdyxiwe	152	9	be	be	VB
cord-258235-khdyxiwe	152	10	universally	universally	RB
cord-258235-khdyxiwe	152	11	employed	employ	VBN
cord-258235-khdyxiwe	152	12	in	in	IN
cord-258235-khdyxiwe	152	13	all	all	DT
cord-258235-khdyxiwe	152	14	circumstances	circumstance	NNS
cord-258235-khdyxiwe	152	15	,	,	,
cord-258235-khdyxiwe	152	16	and	and	CC
cord-258235-khdyxiwe	152	17	this	this	DT
cord-258235-khdyxiwe	152	18	is	be	VBZ
cord-258235-khdyxiwe	152	19	in	in	IN
cord-258235-khdyxiwe	152	20	relevance	relevance	NN
cord-258235-khdyxiwe	152	21	with	with	IN
cord-258235-khdyxiwe	152	22	"	"	``
cord-258235-khdyxiwe	152	23	no	no	DT
cord-258235-khdyxiwe	152	24	free	free	JJ
cord-258235-khdyxiwe	152	25	lunch	lunch	NN
cord-258235-khdyxiwe	152	26	theorem	theorem	NN
cord-258235-khdyxiwe	152	27	"	"	''
cord-258235-khdyxiwe	152	28	[	[	-LRB-
cord-258235-khdyxiwe	152	29	33	33	CD
cord-258235-khdyxiwe	152	30	]	]	-RRB-
cord-258235-khdyxiwe	152	31	.	.	.
cord-258235-khdyxiwe	153	1	Even	even	RB
cord-258235-khdyxiwe	153	2	if	if	IN
cord-258235-khdyxiwe	153	3	in	in	IN
cord-258235-khdyxiwe	153	4	a	a	DT
cord-258235-khdyxiwe	153	5	very	very	RB
cord-258235-khdyxiwe	153	6	few	few	JJ
cord-258235-khdyxiwe	153	7	cases	case	NNS
cord-258235-khdyxiwe	153	8	hybrid	hybrid	VBP
cord-258235-khdyxiwe	153	9	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	153	10	-	-	HYPH
cord-258235-khdyxiwe	153	11	WBF	WBF	NNP
cord-258235-khdyxiwe	153	12	model	model	NN
cord-258235-khdyxiwe	153	13	gave	give	VBD
cord-258235-khdyxiwe	153	14	lower	low	JJR
cord-258235-khdyxiwe	153	15	information	information	NN
cord-258235-khdyxiwe	153	16	criteria	criterion	NNS
cord-258235-khdyxiwe	153	17	values	value	NNS
cord-258235-khdyxiwe	153	18	(	(	-LRB-
cord-258235-khdyxiwe	153	19	in	in	IN
cord-258235-khdyxiwe	153	20	terms	term	NNS
cord-258235-khdyxiwe	153	21	of	of	IN
cord-258235-khdyxiwe	153	22	RMSE	RMSE	NNP
cord-258235-khdyxiwe	153	23	and	and	CC
cord-258235-khdyxiwe	153	24	MAE	MAE	NNP
cord-258235-khdyxiwe	153	25	for	for	IN
cord-258235-khdyxiwe	153	26	training	training	NN
cord-258235-khdyxiwe	153	27	data	datum	NNS
cord-258235-khdyxiwe	153	28	)	)	-RRB-
cord-258235-khdyxiwe	153	29	,	,	,
cord-258235-khdyxiwe	153	30	we	-PRON-	PRP
cord-258235-khdyxiwe	153	31	still	still	RB
cord-258235-khdyxiwe	153	32	can	can	MD
cord-258235-khdyxiwe	153	33	opt	opt	VB
cord-258235-khdyxiwe	153	34	for	for	IN
cord-258235-khdyxiwe	153	35	the	the	DT
cord-258235-khdyxiwe	153	36	hybrid	hybrid	JJ
cord-258235-khdyxiwe	153	37	model	model	NN
cord-258235-khdyxiwe	153	38	given	give	VBN
cord-258235-khdyxiwe	153	39	the	the	DT
cord-258235-khdyxiwe	153	40	asymmetric	asymmetric	JJ
cord-258235-khdyxiwe	153	41	risks	risk	NNS
cord-258235-khdyxiwe	153	42	involved	involve	VBN
cord-258235-khdyxiwe	153	43	as	as	IN
cord-258235-khdyxiwe	153	44	we	-PRON-	PRP
cord-258235-khdyxiwe	153	45	believe	believe	VBP
cord-258235-khdyxiwe	153	46	that	that	IN
cord-258235-khdyxiwe	153	47	it	-PRON-	PRP
cord-258235-khdyxiwe	153	48	is	be	VBZ
cord-258235-khdyxiwe	153	49	better	well	JJR
cord-258235-khdyxiwe	153	50	to	to	TO
cord-258235-khdyxiwe	153	51	take	take	VB
cord-258235-khdyxiwe	153	52	decisions	decision	NNS
cord-258235-khdyxiwe	153	53	based	base	VBN
cord-258235-khdyxiwe	153	54	on	on	IN
cord-258235-khdyxiwe	153	55	a	a	DT
cord-258235-khdyxiwe	153	56	hybrid	hybrid	JJ
cord-258235-khdyxiwe	153	57	model	model	NN
cord-258235-khdyxiwe	153	58	rather	rather	RB
cord-258235-khdyxiwe	153	59	than	than	IN
cord-258235-khdyxiwe	153	60	depending	depend	VBG
cord-258235-khdyxiwe	153	61	on	on	IN
cord-258235-khdyxiwe	153	62	a	a	DT
cord-258235-khdyxiwe	153	63	single	single	JJ
cord-258235-khdyxiwe	153	64	one	one	NN
cord-258235-khdyxiwe	153	65	at	at	IN
cord-258235-khdyxiwe	153	66	least	least	JJS
cord-258235-khdyxiwe	153	67	for	for	IN
cord-258235-khdyxiwe	153	68	this	this	DT
cord-258235-khdyxiwe	153	69	pandemic	pandemic	NN
cord-258235-khdyxiwe	153	70	.	.	.
cord-258235-khdyxiwe	154	1	We	-PRON-	PRP
cord-258235-khdyxiwe	154	2	produced	produce	VBD
cord-258235-khdyxiwe	154	3	ten	ten	CD
cord-258235-khdyxiwe	154	4	days	day	NNS
cord-258235-khdyxiwe	154	5	ahead	ahead	RB
cord-258235-khdyxiwe	154	6	point	point	NN
cord-258235-khdyxiwe	154	7	forecasts	forecast	NNS
cord-258235-khdyxiwe	154	8	based	base	VBN
cord-258235-khdyxiwe	154	9	on	on	IN
cord-258235-khdyxiwe	154	10	all	all	PDT
cord-258235-khdyxiwe	154	11	the	the	DT
cord-258235-khdyxiwe	154	12	three	three	CD
cord-258235-khdyxiwe	154	13	models	model	NNS
cord-258235-khdyxiwe	154	14	discussed	discuss	VBN
cord-258235-khdyxiwe	154	15	in	in	IN
cord-258235-khdyxiwe	154	16	this	this	DT
cord-258235-khdyxiwe	154	17	chapter	chapter	NN
cord-258235-khdyxiwe	154	18	and	and	CC
cord-258235-khdyxiwe	154	19	reported	report	VBD
cord-258235-khdyxiwe	154	20	then	then	RB
cord-258235-khdyxiwe	154	21	in	in	IN
cord-258235-khdyxiwe	154	22	Figures	figure	NNS
cord-258235-khdyxiwe	154	23	2	2	CD
cord-258235-khdyxiwe	154	24	-	-	SYM
cord-258235-khdyxiwe	154	25	6	6	CD
cord-258235-khdyxiwe	154	26	.	.	.
cord-258235-khdyxiwe	155	1	Our	-PRON-	PRP$
cord-258235-khdyxiwe	155	2	model	model	NN
cord-258235-khdyxiwe	155	3	can	can	MD
cord-258235-khdyxiwe	155	4	easily	easily	RB
cord-258235-khdyxiwe	155	5	be	be	VB
cord-258235-khdyxiwe	155	6	updated	update	VBN
cord-258235-khdyxiwe	155	7	on	on	IN
cord-258235-khdyxiwe	155	8	a	a	DT
cord-258235-khdyxiwe	155	9	daily	daily	JJ
cord-258235-khdyxiwe	155	10	or	or	CC
cord-258235-khdyxiwe	155	11	periodic	periodic	JJ
cord-258235-khdyxiwe	155	12	basis	basis	NN
cord-258235-khdyxiwe	155	13	once	once	IN
cord-258235-khdyxiwe	155	14	the	the	DT
cord-258235-khdyxiwe	155	15	actual	actual	JJ
cord-258235-khdyxiwe	155	16	values	value	NNS
cord-258235-khdyxiwe	155	17	are	be	VBP
cord-258235-khdyxiwe	155	18	received	receive	VBN
cord-258235-khdyxiwe	155	19	for	for	IN
cord-258235-khdyxiwe	155	20	the	the	DT
cord-258235-khdyxiwe	155	21	country	country	NN
cord-258235-khdyxiwe	155	22	-	-	HYPH
cord-258235-khdyxiwe	155	23	wise	wise	JJ
cord-258235-khdyxiwe	155	24	COVID-19	covid-19	CD
cord-258235-khdyxiwe	155	25	cases	case	NNS
cord-258235-khdyxiwe	155	26	.	.	.
cord-258235-khdyxiwe	156	1	Remark	remark	NN
cord-258235-khdyxiwe	156	2	.	.	.
cord-258235-khdyxiwe	157	1	Please	please	UH
cord-258235-khdyxiwe	157	2	note	note	VB
cord-258235-khdyxiwe	157	3	that	that	IN
cord-258235-khdyxiwe	157	4	this	this	DT
cord-258235-khdyxiwe	157	5	is	be	VBZ
cord-258235-khdyxiwe	157	6	not	not	RB
cord-258235-khdyxiwe	157	7	an	an	DT
cord-258235-khdyxiwe	157	8	ex	ex	JJ
cord-258235-khdyxiwe	157	9	-	-	JJ
cord-258235-khdyxiwe	157	10	post	post	JJ
cord-258235-khdyxiwe	157	11	analysis	analysis	NN
cord-258235-khdyxiwe	157	12	,	,	,
cord-258235-khdyxiwe	157	13	but	but	CC
cord-258235-khdyxiwe	157	14	a	a	DT
cord-258235-khdyxiwe	157	15	real	real	JJ
cord-258235-khdyxiwe	157	16	,	,	,
cord-258235-khdyxiwe	157	17	live	live	JJ
cord-258235-khdyxiwe	157	18	forecasting	forecasting	NN
cord-258235-khdyxiwe	157	19	exercise	exercise	NN
cord-258235-khdyxiwe	157	20	.	.	.
cord-258235-khdyxiwe	158	1	Thus	thus	RB
cord-258235-khdyxiwe	158	2	,	,	,
cord-258235-khdyxiwe	158	3	these	these	DT
cord-258235-khdyxiwe	158	4	real	real	JJ
cord-258235-khdyxiwe	158	5	-	-	HYPH
cord-258235-khdyxiwe	158	6	time	time	NN
cord-258235-khdyxiwe	158	7	short	short	JJ
cord-258235-khdyxiwe	158	8	-	-	HYPH
cord-258235-khdyxiwe	158	9	term	term	NN
cord-258235-khdyxiwe	158	10	forecasts	forecast	NNS
cord-258235-khdyxiwe	158	11	based	base	VBN
cord-258235-khdyxiwe	158	12	on	on	IN
cord-258235-khdyxiwe	158	13	the	the	DT
cord-258235-khdyxiwe	158	14	proposed	propose	VBN
cord-258235-khdyxiwe	158	15	hybrid	hybrid	NN
cord-258235-khdyxiwe	158	16	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	158	17	-	-	HYPH
cord-258235-khdyxiwe	158	18	WBF	WBF	NNP
cord-258235-khdyxiwe	158	19	model	model	NN
cord-258235-khdyxiwe	158	20	for	for	IN
cord-258235-khdyxiwe	158	21	Canada	Canada	NNP
cord-258235-khdyxiwe	158	22	,	,	,
cord-258235-khdyxiwe	158	23	France	France	NNP
cord-258235-khdyxiwe	158	24	,	,	,
cord-258235-khdyxiwe	158	25	India	India	NNP
cord-258235-khdyxiwe	158	26	,	,	,
cord-258235-khdyxiwe	158	27	South	South	NNP
cord-258235-khdyxiwe	158	28	Korea	Korea	NNP
cord-258235-khdyxiwe	158	29	,	,	,
cord-258235-khdyxiwe	158	30	and	and	CC
cord-258235-khdyxiwe	158	31	the	the	DT
cord-258235-khdyxiwe	158	32	UK	UK	NNP
cord-258235-khdyxiwe	158	33	will	will	MD
cord-258235-khdyxiwe	158	34	be	be	VB
cord-258235-khdyxiwe	158	35	helpful	helpful	JJ
cord-258235-khdyxiwe	158	36	for	for	IN
cord-258235-khdyxiwe	158	37	government	government	NN
cord-258235-khdyxiwe	158	38	officials	official	NNS
cord-258235-khdyxiwe	158	39	and	and	CC
cord-258235-khdyxiwe	158	40	policymakers	policymaker	NNS
cord-258235-khdyxiwe	158	41	to	to	TO
cord-258235-khdyxiwe	158	42	allocate	allocate	VB
cord-258235-khdyxiwe	158	43	adequate	adequate	JJ
cord-258235-khdyxiwe	158	44	health	health	NN
cord-258235-khdyxiwe	158	45	care	care	NN
cord-258235-khdyxiwe	158	46	resources	resource	NNS
cord-258235-khdyxiwe	158	47	for	for	IN
cord-258235-khdyxiwe	158	48	the	the	DT
cord-258235-khdyxiwe	158	49	coming	come	VBG
cord-258235-khdyxiwe	158	50	days	day	NNS
cord-258235-khdyxiwe	158	51	.	.	.
cord-258235-khdyxiwe	159	1	At	at	IN
cord-258235-khdyxiwe	159	2	the	the	DT
cord-258235-khdyxiwe	159	3	outset	outset	NN
cord-258235-khdyxiwe	159	4	of	of	IN
cord-258235-khdyxiwe	159	5	the	the	DT
cord-258235-khdyxiwe	159	6	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	159	7	outbreak	outbreak	NN
cord-258235-khdyxiwe	159	8	,	,	,
cord-258235-khdyxiwe	159	9	data	datum	NNS
cord-258235-khdyxiwe	159	10	on	on	IN
cord-258235-khdyxiwe	159	11	country	country	NN
cord-258235-khdyxiwe	159	12	-	-	HYPH
cord-258235-khdyxiwe	159	13	wise	wise	JJ
cord-258235-khdyxiwe	159	14	case	case	NN
cord-258235-khdyxiwe	159	15	fatality	fatality	NN
cord-258235-khdyxiwe	159	16	rates	rate	NNS
cord-258235-khdyxiwe	159	17	due	due	JJ
cord-258235-khdyxiwe	159	18	to	to	IN
cord-258235-khdyxiwe	159	19	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	159	20	were	be	VBD
cord-258235-khdyxiwe	159	21	obtained	obtain	VBN
cord-258235-khdyxiwe	159	22	for	for	IN
cord-258235-khdyxiwe	159	23	50	50	CD
cord-258235-khdyxiwe	159	24	affected	affected	JJ
cord-258235-khdyxiwe	159	25	countries	country	NNS
cord-258235-khdyxiwe	159	26	.	.	.
cord-258235-khdyxiwe	160	1	The	the	DT
cord-258235-khdyxiwe	160	2	case	case	NN
cord-258235-khdyxiwe	160	3	fatality	fatality	NN
cord-258235-khdyxiwe	160	4	rate	rate	NN
cord-258235-khdyxiwe	160	5	can	can	MD
cord-258235-khdyxiwe	160	6	be	be	VB
cord-258235-khdyxiwe	160	7	crudely	crudely	RB
cord-258235-khdyxiwe	160	8	defined	define	VBN
cord-258235-khdyxiwe	160	9	as	as	IN
cord-258235-khdyxiwe	160	10	the	the	DT
cord-258235-khdyxiwe	160	11	number	number	NN
cord-258235-khdyxiwe	160	12	of	of	IN
cord-258235-khdyxiwe	160	13	deaths	death	NNS
cord-258235-khdyxiwe	160	14	in	in	IN
cord-258235-khdyxiwe	160	15	persons	person	NNS
cord-258235-khdyxiwe	160	16	who	who	WP
cord-258235-khdyxiwe	160	17	tested	test	VBD
cord-258235-khdyxiwe	160	18	positive	positive	JJ
cord-258235-khdyxiwe	160	19	for	for	IN
cord-258235-khdyxiwe	160	20	COVID-19	covid-19	NN
cord-258235-khdyxiwe	160	21	divided	divide	VBN
cord-258235-khdyxiwe	160	22	by	by	IN
cord-258235-khdyxiwe	160	23	the	the	DT
cord-258235-khdyxiwe	160	24	confirmed	confirm	VBN
cord-258235-khdyxiwe	160	25	number	number	NN
cord-258235-khdyxiwe	160	26	of	of	IN
cord-258235-khdyxiwe	160	27	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	160	28	cases	case	NNS
cord-258235-khdyxiwe	160	29	.	.	.
cord-258235-khdyxiwe	161	1	In	in	IN
cord-258235-khdyxiwe	161	2	this	this	DT
cord-258235-khdyxiwe	161	3	section	section	NN
cord-258235-khdyxiwe	161	4	,	,	,
cord-258235-khdyxiwe	161	5	we	-PRON-	PRP
cord-258235-khdyxiwe	161	6	are	be	VBP
cord-258235-khdyxiwe	161	7	going	go	VBG
cord-258235-khdyxiwe	161	8	to	to	TO
cord-258235-khdyxiwe	161	9	find	find	VB
cord-258235-khdyxiwe	161	10	out	out	RP
cord-258235-khdyxiwe	161	11	a	a	DT
cord-258235-khdyxiwe	161	12	list	list	NN
cord-258235-khdyxiwe	161	13	of	of	IN
cord-258235-khdyxiwe	161	14	essential	essential	JJ
cord-258235-khdyxiwe	161	15	causal	causal	JJ
cord-258235-khdyxiwe	161	16	variables	variable	NNS
cord-258235-khdyxiwe	161	17	that	that	WDT
cord-258235-khdyxiwe	161	18	have	have	VBP
cord-258235-khdyxiwe	161	19	strong	strong	JJ
cord-258235-khdyxiwe	161	20	influences	influence	NNS
cord-258235-khdyxiwe	161	21	on	on	IN
cord-258235-khdyxiwe	161	22	the	the	DT
cord-258235-khdyxiwe	161	23	CFR	CFR	NNP
cord-258235-khdyxiwe	161	24	.	.	.
cord-258235-khdyxiwe	162	1	The	the	DT
cord-258235-khdyxiwe	162	2	datasets	dataset	NNS
cord-258235-khdyxiwe	162	3	and	and	CC
cord-258235-khdyxiwe	162	4	codes	code	NNS
cord-258235-khdyxiwe	162	5	of	of	IN
cord-258235-khdyxiwe	162	6	this	this	DT
cord-258235-khdyxiwe	162	7	section	section	NN
cord-258235-khdyxiwe	162	8	are	be	VBP
cord-258235-khdyxiwe	162	9	made	make	VBN
cord-258235-khdyxiwe	162	10	publicly	publicly	RB
cord-258235-khdyxiwe	162	11	available	available	JJ
cord-258235-khdyxiwe	162	12	at	at	IN
cord-258235-khdyxiwe	162	13	https://github.com/indrajitg-r/COVID	https://github.com/indrajitg-r/covid	ADD
cord-258235-khdyxiwe	162	14	for	for	IN
cord-258235-khdyxiwe	162	15	the	the	DT
cord-258235-khdyxiwe	162	16	reproducibility	reproducibility	NN
cord-258235-khdyxiwe	162	17	of	of	IN
cord-258235-khdyxiwe	162	18	this	this	DT
cord-258235-khdyxiwe	162	19	work	work	NN
cord-258235-khdyxiwe	162	20	.	.	.
cord-258235-khdyxiwe	163	1	In	in	IN
cord-258235-khdyxiwe	163	2	the	the	DT
cord-258235-khdyxiwe	163	3	face	face	NN
cord-258235-khdyxiwe	163	4	of	of	IN
cord-258235-khdyxiwe	163	5	rapidly	rapidly	RB
cord-258235-khdyxiwe	163	6	changing	change	VBG
cord-258235-khdyxiwe	163	7	data	datum	NNS
cord-258235-khdyxiwe	163	8	for	for	IN
cord-258235-khdyxiwe	163	9	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	163	10	,	,	,
cord-258235-khdyxiwe	163	11	we	-PRON-	PRP
cord-258235-khdyxiwe	163	12	calculated	calculate	VBD
cord-258235-khdyxiwe	163	13	the	the	DT
cord-258235-khdyxiwe	163	14	case	case	NN
cord-258235-khdyxiwe	163	15	fatality	fatality	NN
cord-258235-khdyxiwe	163	16	ratio	ratio	NN
cord-258235-khdyxiwe	163	17	estimates	estimate	NNS
cord-258235-khdyxiwe	163	18	for	for	IN
cord-258235-khdyxiwe	163	19	50	50	CD
cord-258235-khdyxiwe	163	20	countries	country	NNS
cord-258235-khdyxiwe	163	21	from	from	IN
cord-258235-khdyxiwe	163	22	the	the	DT
cord-258235-khdyxiwe	163	23	day	day	NN
cord-258235-khdyxiwe	163	24	of	of	IN
cord-258235-khdyxiwe	163	25	starting	start	VBG
cord-258235-khdyxiwe	163	26	the	the	DT
cord-258235-khdyxiwe	163	27	outbreak	outbreak	NN
cord-258235-khdyxiwe	163	28	to	to	IN
cord-258235-khdyxiwe	163	29	4	4	CD
cord-258235-khdyxiwe	163	30	April	April	NNP
cord-258235-khdyxiwe	163	31	2020	2020	CD
cord-258235-khdyxiwe	163	32	from	from	IN
cord-258235-khdyxiwe	163	33	the	the	DT
cord-258235-khdyxiwe	163	34	following	follow	VBG
cord-258235-khdyxiwe	163	35	website	website	NN
cord-258235-khdyxiwe	163	36	2	2	CD
cord-258235-khdyxiwe	163	37	.	.	.
cord-258235-khdyxiwe	164	1	A	a	DT
cord-258235-khdyxiwe	164	2	lot	lot	NN
cord-258235-khdyxiwe	164	3	of	of	IN
cord-258235-khdyxiwe	164	4	preliminary	preliminary	JJ
cord-258235-khdyxiwe	164	5	analysis	analysis	NN
cord-258235-khdyxiwe	164	6	is	be	VBZ
cord-258235-khdyxiwe	164	7	done	do	VBN
cord-258235-khdyxiwe	164	8	to	to	TO
cord-258235-khdyxiwe	164	9	determine	determine	VB
cord-258235-khdyxiwe	164	10	a	a	DT
cord-258235-khdyxiwe	164	11	set	set	NN
cord-258235-khdyxiwe	164	12	of	of	IN
cord-258235-khdyxiwe	164	13	possible	possible	JJ
cord-258235-khdyxiwe	164	14	variables	variable	NNS
cord-258235-khdyxiwe	164	15	,	,	,
cord-258235-khdyxiwe	164	16	some	some	DT
cord-258235-khdyxiwe	164	17	of	of	IN
cord-258235-khdyxiwe	164	18	which	which	WDT
cord-258235-khdyxiwe	164	19	are	be	VBP
cord-258235-khdyxiwe	164	20	expected	expect	VBN
cord-258235-khdyxiwe	164	21	to	to	TO
cord-258235-khdyxiwe	164	22	be	be	VB
cord-258235-khdyxiwe	164	23	critical	critical	JJ
cord-258235-khdyxiwe	164	24	causal	causal	JJ
cord-258235-khdyxiwe	164	25	variables	variable	NNS
cord-258235-khdyxiwe	164	26	for	for	IN
cord-258235-khdyxiwe	164	27	risk	risk	NN
cord-258235-khdyxiwe	164	28	assessments	assessment	NNS
cord-258235-khdyxiwe	164	29	of	of	IN
cord-258235-khdyxiwe	164	30	COVID-19	covid-19	NN
cord-258235-khdyxiwe	164	31	in	in	IN
cord-258235-khdyxiwe	164	32	these	these	DT
cord-258235-khdyxiwe	164	33	affected	affect	VBN
cord-258235-khdyxiwe	164	34	countries	country	NNS
cord-258235-khdyxiwe	164	35	.	.	.
cord-258235-khdyxiwe	165	1	Previous	previous	JJ
cord-258235-khdyxiwe	165	2	studies	study	NNS
cord-258235-khdyxiwe	165	3	[	[	-LRB-
cord-258235-khdyxiwe	165	4	22	22	CD
cord-258235-khdyxiwe	165	5	;	;	SYM
cord-258235-khdyxiwe	165	6	30	30	CD
cord-258235-khdyxiwe	165	7	;	;	:
cord-258235-khdyxiwe	165	8	18	18	CD
cord-258235-khdyxiwe	165	9	;	;	SYM
cord-258235-khdyxiwe	165	10	5	5	LS
cord-258235-khdyxiwe	165	11	]	]	-RRB-
cord-258235-khdyxiwe	165	12	have	have	VBP
cord-258235-khdyxiwe	165	13	suggested	suggest	VBN
cord-258235-khdyxiwe	165	14	that	that	IN
cord-258235-khdyxiwe	165	15	the	the	DT
cord-258235-khdyxiwe	165	16	total	total	JJ
cord-258235-khdyxiwe	165	17	number	number	NN
cord-258235-khdyxiwe	165	18	of	of	IN
cord-258235-khdyxiwe	165	19	cases	case	NNS
cord-258235-khdyxiwe	165	20	,	,	,
cord-258235-khdyxiwe	165	21	age	age	NN
cord-258235-khdyxiwe	165	22	distributions	distribution	NNS
cord-258235-khdyxiwe	165	23	,	,	,
cord-258235-khdyxiwe	165	24	and	and	CC
cord-258235-khdyxiwe	165	25	shutdown	shutdown	NN
cord-258235-khdyxiwe	165	26	period	period	NN
cord-258235-khdyxiwe	165	27	have	have	VBP
cord-258235-khdyxiwe	165	28	high	high	JJ
cord-258235-khdyxiwe	165	29	impacts	impact	NNS
cord-258235-khdyxiwe	165	30	on	on	IN
cord-258235-khdyxiwe	165	31	the	the	DT
cord-258235-khdyxiwe	165	32	CFR	CFR	NNP
cord-258235-khdyxiwe	165	33	values	value	NNS
cord-258235-khdyxiwe	165	34	for	for	IN
cord-258235-khdyxiwe	165	35	some	some	DT
cord-258235-khdyxiwe	165	36	of	of	IN
cord-258235-khdyxiwe	165	37	the	the	DT
cord-258235-khdyxiwe	165	38	countries	country	NNS
cord-258235-khdyxiwe	165	39	.	.	.
cord-258235-khdyxiwe	166	1	Along	along	IN
cord-258235-khdyxiwe	166	2	with	with	IN
cord-258235-khdyxiwe	166	3	these	these	DT
cord-258235-khdyxiwe	166	4	three	three	CD
cord-258235-khdyxiwe	166	5	variables	variable	NNS
cord-258235-khdyxiwe	166	6	,	,	,
cord-258235-khdyxiwe	166	7	we	-PRON-	PRP
cord-258235-khdyxiwe	166	8	also	also	RB
cord-258235-khdyxiwe	166	9	considered	consider	VBD
cord-258235-khdyxiwe	166	10	seven	seven	CD
cord-258235-khdyxiwe	166	11	more	more	JJR
cord-258235-khdyxiwe	166	12	demographic	demographic	JJ
cord-258235-khdyxiwe	166	13	structures	structure	NNS
cord-258235-khdyxiwe	166	14	and	and	CC
cord-258235-khdyxiwe	166	15	disease	disease	NN
cord-258235-khdyxiwe	166	16	characteristics	characteristic	NNS
cord-258235-khdyxiwe	166	17	for	for	IN
cord-258235-khdyxiwe	166	18	these	these	DT
cord-258235-khdyxiwe	166	19	countries	country	NNS
cord-258235-khdyxiwe	166	20	as	as	IN
cord-258235-khdyxiwe	166	21	input	input	NN
cord-258235-khdyxiwe	166	22	variables	variable	NNS
cord-258235-khdyxiwe	166	23	that	that	WDT
cord-258235-khdyxiwe	166	24	are	be	VBP
cord-258235-khdyxiwe	166	25	likely	likely	JJ
cord-258235-khdyxiwe	166	26	to	to	TO
cord-258235-khdyxiwe	166	27	have	have	VB
cord-258235-khdyxiwe	166	28	a	a	DT
cord-258235-khdyxiwe	166	29	potential	potential	JJ
cord-258235-khdyxiwe	166	30	impact	impact	NN
cord-258235-khdyxiwe	166	31	on	on	IN
cord-258235-khdyxiwe	166	32	the	the	DT
cord-258235-khdyxiwe	166	33	CFR	CFR	NNP
cord-258235-khdyxiwe	166	34	estimates	estimate	NNS
cord-258235-khdyxiwe	166	35	.	.	.
cord-258235-khdyxiwe	167	1	Therefore	therefore	RB
cord-258235-khdyxiwe	167	2	,	,	,
cord-258235-khdyxiwe	167	3	the	the	DT
cord-258235-khdyxiwe	167	4	CFR	CFR	NNP
cord-258235-khdyxiwe	167	5	modeling	modeling	NN
cord-258235-khdyxiwe	167	6	dataset	dataset	NN
cord-258235-khdyxiwe	167	7	consists	consist	VBZ
cord-258235-khdyxiwe	167	8	of	of	IN
cord-258235-khdyxiwe	167	9	50	50	CD
cord-258235-khdyxiwe	167	10	observations	observation	NNS
cord-258235-khdyxiwe	167	11	having	have	VBG
cord-258235-khdyxiwe	167	12	ten	ten	CD
cord-258235-khdyxiwe	167	13	possible	possible	JJ
cord-258235-khdyxiwe	167	14	causal	causal	JJ
cord-258235-khdyxiwe	167	15	variables	variable	NNS
cord-258235-khdyxiwe	167	16	and	and	CC
cord-258235-khdyxiwe	167	17	one	one	CD
cord-258235-khdyxiwe	167	18	numerical	numerical	JJ
cord-258235-khdyxiwe	167	19	output	output	NN
cord-258235-khdyxiwe	167	20	variable	variable	NN
cord-258235-khdyxiwe	167	21	(	(	-LRB-
cord-258235-khdyxiwe	167	22	viz	viz	NN
cord-258235-khdyxiwe	167	23	.	.	.
cord-258235-khdyxiwe	168	1	CFR	CFR	NNP
cord-258235-khdyxiwe	168	2	)	)	-RRB-
cord-258235-khdyxiwe	168	3	,	,	,
cord-258235-khdyxiwe	168	4	as	as	IN
cord-258235-khdyxiwe	168	5	reported	report	VBN
cord-258235-khdyxiwe	168	6	in	in	IN
cord-258235-khdyxiwe	168	7	Table	Table	NNP
cord-258235-khdyxiwe	168	8	3	3	CD
cord-258235-khdyxiwe	168	9	.	.	.
cord-258235-khdyxiwe	169	1	The	the	DT
cord-258235-khdyxiwe	169	2	possible	possible	JJ
cord-258235-khdyxiwe	169	3	causal	causal	JJ
cord-258235-khdyxiwe	169	4	variables	variable	NNS
cord-258235-khdyxiwe	169	5	considered	consider	VBN
cord-258235-khdyxiwe	169	6	in	in	IN
cord-258235-khdyxiwe	169	7	this	this	DT
cord-258235-khdyxiwe	169	8	study	study	NN
cord-258235-khdyxiwe	169	9	are	be	VBP
cord-258235-khdyxiwe	169	10	the	the	DT
cord-258235-khdyxiwe	169	11	followings	following	NNS
cord-258235-khdyxiwe	169	12	:	:	:
cord-258235-khdyxiwe	169	13	the	the	DT
cord-258235-khdyxiwe	169	14	total	total	JJ
cord-258235-khdyxiwe	169	15	number	number	NN
cord-258235-khdyxiwe	169	16	of	of	IN
cord-258235-khdyxiwe	169	17	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	169	18	cases	case	NNS
cord-258235-khdyxiwe	169	19	(	(	-LRB-
cord-258235-khdyxiwe	169	20	in	in	IN
cord-258235-khdyxiwe	169	21	thousands	thousand	NNS
cord-258235-khdyxiwe	169	22	)	)	-RRB-
cord-258235-khdyxiwe	169	23	in	in	IN
cord-258235-khdyxiwe	169	24	the	the	DT
cord-258235-khdyxiwe	169	25	country	country	NN
cord-258235-khdyxiwe	169	26	till	till	IN
cord-258235-khdyxiwe	169	27	4	4	CD
cord-258235-khdyxiwe	169	28	April	April	NNP
cord-258235-khdyxiwe	169	29	,	,	,
cord-258235-khdyxiwe	169	30	2020	2020	CD
cord-258235-khdyxiwe	169	31	,	,	,
cord-258235-khdyxiwe	169	32	population	population	NN
cord-258235-khdyxiwe	169	33	density	density	NN
cord-258235-khdyxiwe	169	34	per	per	IN
cord-258235-khdyxiwe	169	35	km	km	NN
cord-258235-khdyxiwe	169	36	2	2	CD
cord-258235-khdyxiwe	169	37	for	for	IN
cord-258235-khdyxiwe	169	38	the	the	DT
cord-258235-khdyxiwe	169	39	country	country	NN
cord-258235-khdyxiwe	169	40	,	,	,
cord-258235-khdyxiwe	169	41	total	total	JJ
cord-258235-khdyxiwe	169	42	population	population	NN
cord-258235-khdyxiwe	169	43	(	(	-LRB-
cord-258235-khdyxiwe	169	44	in	in	IN
cord-258235-khdyxiwe	169	45	millions	million	NNS
cord-258235-khdyxiwe	169	46	)	)	-RRB-
cord-258235-khdyxiwe	169	47	of	of	IN
cord-258235-khdyxiwe	169	48	the	the	DT
cord-258235-khdyxiwe	169	49	country	country	NN
cord-258235-khdyxiwe	169	50	(	(	-LRB-
cord-258235-khdyxiwe	169	51	approx	approx	NN
cord-258235-khdyxiwe	169	52	.	.	.
cord-258235-khdyxiwe	169	53	)	)	-RRB-
cord-258235-khdyxiwe	169	54	,	,	,
cord-258235-khdyxiwe	169	55	percentage	percentage	NN
cord-258235-khdyxiwe	169	56	of	of	IN
cord-258235-khdyxiwe	169	57	people	people	NNS
cord-258235-khdyxiwe	169	58	in	in	IN
cord-258235-khdyxiwe	169	59	the	the	DT
cord-258235-khdyxiwe	169	60	age	age	NN
cord-258235-khdyxiwe	169	61	group	group	NN
cord-258235-khdyxiwe	169	62	of	of	IN
cord-258235-khdyxiwe	169	63	greater	great	JJR
cord-258235-khdyxiwe	169	64	than	than	IN
cord-258235-khdyxiwe	169	65	65	65	CD
cord-258235-khdyxiwe	169	66	years	year	NNS
cord-258235-khdyxiwe	169	67	,	,	,
cord-258235-khdyxiwe	169	68	lockdown	lockdown	NN
cord-258235-khdyxiwe	169	69	days	day	NNS
cord-258235-khdyxiwe	169	70	count	count	NN
cord-258235-khdyxiwe	169	71	(	(	-LRB-
cord-258235-khdyxiwe	169	72	from	from	IN
cord-258235-khdyxiwe	169	73	the	the	DT
cord-258235-khdyxiwe	169	74	starting	start	VBG
cord-258235-khdyxiwe	169	75	day	day	NN
cord-258235-khdyxiwe	169	76	of	of	IN
cord-258235-khdyxiwe	169	77	lockdown	lockdown	NN
cord-258235-khdyxiwe	169	78	till	till	IN
cord-258235-khdyxiwe	169	79	April	April	NNP
cord-258235-khdyxiwe	169	80	4	4	CD
cord-258235-khdyxiwe	169	81	,	,	,
cord-258235-khdyxiwe	169	82	2020	2020	CD
cord-258235-khdyxiwe	169	83	)	)	-RRB-
cord-258235-khdyxiwe	169	84	,	,	,
cord-258235-khdyxiwe	169	85	time	time	NN
cord-258235-khdyxiwe	169	86	-	-	HYPH
cord-258235-khdyxiwe	169	87	period	period	NN
cord-258235-khdyxiwe	169	88	(	(	-LRB-
cord-258235-khdyxiwe	169	89	in	in	IN
cord-258235-khdyxiwe	169	90	days	day	NNS
cord-258235-khdyxiwe	169	91	)	)	-RRB-
cord-258235-khdyxiwe	169	92	of	of	IN
cord-258235-khdyxiwe	169	93	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	169	94	cases	case	NNS
cord-258235-khdyxiwe	169	95	for	for	IN
cord-258235-khdyxiwe	169	96	the	the	DT
cord-258235-khdyxiwe	169	97	country	country	NN
cord-258235-khdyxiwe	169	98	(	(	-LRB-
cord-258235-khdyxiwe	169	99	starting	start	VBG
cord-258235-khdyxiwe	169	100	date	date	NN
cord-258235-khdyxiwe	169	101	to	to	IN
cord-258235-khdyxiwe	169	102	April	April	NNP
cord-258235-khdyxiwe	169	103	4	4	CD
cord-258235-khdyxiwe	169	104	,	,	,
cord-258235-khdyxiwe	169	105	2020	2020	CD
cord-258235-khdyxiwe	169	106	)	)	-RRB-
cord-258235-khdyxiwe	169	107	,	,	,
cord-258235-khdyxiwe	169	108	doctors	doctor	NNS
cord-258235-khdyxiwe	169	109	per	per	IN
cord-258235-khdyxiwe	169	110	1000	1000	CD
cord-258235-khdyxiwe	169	111	people	people	NNS
cord-258235-khdyxiwe	169	112	in	in	IN
cord-258235-khdyxiwe	169	113	the	the	DT
cord-258235-khdyxiwe	169	114	country	country	NN
cord-258235-khdyxiwe	169	115	,	,	,
cord-258235-khdyxiwe	169	116	hospital	hospital	NN
cord-258235-khdyxiwe	169	117	beds	bed	NNS
cord-258235-khdyxiwe	169	118	per	per	IN
cord-258235-khdyxiwe	169	119	1000	1000	CD
cord-258235-khdyxiwe	169	120	people	people	NNS
cord-258235-khdyxiwe	169	121	in	in	IN
cord-258235-khdyxiwe	169	122	the	the	DT
cord-258235-khdyxiwe	169	123	country	country	NN
cord-258235-khdyxiwe	169	124	,	,	,
cord-258235-khdyxiwe	169	125	income	income	NN
cord-258235-khdyxiwe	169	126	standard	standard	NN
cord-258235-khdyxiwe	169	127	(	(	-LRB-
cord-258235-khdyxiwe	169	128	e.g.	e.g.	RB
cord-258235-khdyxiwe	169	129	,	,	,
cord-258235-khdyxiwe	169	130	high	high	JJ
cord-258235-khdyxiwe	169	131	or	or	CC
cord-258235-khdyxiwe	169	132	lower	low	JJR
cord-258235-khdyxiwe	169	133	)	)	-RRB-
cord-258235-khdyxiwe	169	134	of	of	IN
cord-258235-khdyxiwe	169	135	the	the	DT
cord-258235-khdyxiwe	169	136	country	country	NN
cord-258235-khdyxiwe	169	137	and	and	CC
cord-258235-khdyxiwe	169	138	climate	climate	NN
cord-258235-khdyxiwe	169	139	zones	zone	NNS
cord-258235-khdyxiwe	169	140	(	(	-LRB-
cord-258235-khdyxiwe	169	141	e.g.	e.g.	RB
cord-258235-khdyxiwe	169	142	,	,	,
cord-258235-khdyxiwe	169	143	tropical	tropical	JJ
cord-258235-khdyxiwe	169	144	,	,	,
cord-258235-khdyxiwe	169	145	subtropical	subtropical	JJ
cord-258235-khdyxiwe	169	146	or	or	CC
cord-258235-khdyxiwe	169	147	moderate	moderate	JJ
cord-258235-khdyxiwe	169	148	)	)	-RRB-
cord-258235-khdyxiwe	169	149	of	of	IN
cord-258235-khdyxiwe	169	150	the	the	DT
cord-258235-khdyxiwe	169	151	country	country	NN
cord-258235-khdyxiwe	169	152	.	.	.
cord-258235-khdyxiwe	170	1	The	the	DT
cord-258235-khdyxiwe	170	2	dataset	dataset	NN
cord-258235-khdyxiwe	170	3	contains	contain	VBZ
cord-258235-khdyxiwe	170	4	a	a	DT
cord-258235-khdyxiwe	170	5	total	total	NN
cord-258235-khdyxiwe	170	6	of	of	IN
cord-258235-khdyxiwe	170	7	8	8	CD
cord-258235-khdyxiwe	170	8	numerical	numerical	JJ
cord-258235-khdyxiwe	170	9	input	input	NN
cord-258235-khdyxiwe	170	10	variables	variable	NNS
cord-258235-khdyxiwe	170	11	and	and	CC
cord-258235-khdyxiwe	170	12	two	two	CD
cord-258235-khdyxiwe	170	13	categorical	categorical	JJ
cord-258235-khdyxiwe	170	14	input	input	NN
cord-258235-khdyxiwe	170	15	variables	variable	NNS
cord-258235-khdyxiwe	170	16	.	.	.
cord-258235-khdyxiwe	171	1	For	for	IN
cord-258235-khdyxiwe	171	2	the	the	DT
cord-258235-khdyxiwe	171	3	risk	risk	NN
cord-258235-khdyxiwe	171	4	assessment	assessment	NN
cord-258235-khdyxiwe	171	5	with	with	IN
cord-258235-khdyxiwe	171	6	the	the	DT
cord-258235-khdyxiwe	171	7	CFR	CFR	NNP
cord-258235-khdyxiwe	171	8	dataset	dataset	NN
cord-258235-khdyxiwe	171	9	for	for	IN
cord-258235-khdyxiwe	171	10	50	50	CD
cord-258235-khdyxiwe	171	11	countries	country	NNS
cord-258235-khdyxiwe	171	12	,	,	,
cord-258235-khdyxiwe	171	13	we	-PRON-	PRP
cord-258235-khdyxiwe	171	14	apply	apply	VBP
cord-258235-khdyxiwe	171	15	the	the	DT
cord-258235-khdyxiwe	171	16	regression	regression	NN
cord-258235-khdyxiwe	171	17	tree	tree	NN
cord-258235-khdyxiwe	171	18	(	(	-LRB-
cord-258235-khdyxiwe	171	19	RT	RT	NNP
cord-258235-khdyxiwe	171	20	)	)	-RRB-
cord-258235-khdyxiwe	171	21	[	[	-LRB-
cord-258235-khdyxiwe	171	22	7	7	CD
cord-258235-khdyxiwe	171	23	]	]	-RRB-
cord-258235-khdyxiwe	171	24	that	that	WDT
cord-258235-khdyxiwe	171	25	has	have	VBZ
cord-258235-khdyxiwe	171	26	built	build	VBN
cord-258235-khdyxiwe	171	27	-	-	HYPH
cord-258235-khdyxiwe	171	28	in	in	RP
cord-258235-khdyxiwe	171	29	feature	feature	NN
cord-258235-khdyxiwe	171	30	selection	selection	NN
cord-258235-khdyxiwe	171	31	mechanism	mechanism	NN
cord-258235-khdyxiwe	171	32	,	,	,
cord-258235-khdyxiwe	171	33	easy	easy	JJ
cord-258235-khdyxiwe	171	34	interpretability	interpretability	NN
cord-258235-khdyxiwe	171	35	,	,	,
cord-258235-khdyxiwe	171	36	and	and	CC
cord-258235-khdyxiwe	171	37	provides	provide	VBZ
cord-258235-khdyxiwe	171	38	better	well	JJR
cord-258235-khdyxiwe	171	39	visualization	visualization	NN
cord-258235-khdyxiwe	171	40	.	.	.
cord-258235-khdyxiwe	172	1	RT	RT	NNP
cord-258235-khdyxiwe	172	2	,	,	,
cord-258235-khdyxiwe	172	3	as	as	IN
cord-258235-khdyxiwe	172	4	a	a	DT
cord-258235-khdyxiwe	172	5	widely	widely	RB
cord-258235-khdyxiwe	172	6	used	use	VBN
cord-258235-khdyxiwe	172	7	simple	simple	JJ
cord-258235-khdyxiwe	172	8	machine	machine	NN
cord-258235-khdyxiwe	172	9	learning	learning	NN
cord-258235-khdyxiwe	172	10	algorithm	algorithm	NN
cord-258235-khdyxiwe	172	11	,	,	,
cord-258235-khdyxiwe	172	12	can	can	MD
cord-258235-khdyxiwe	172	13	model	model	VB
cord-258235-khdyxiwe	172	14	arbitrary	arbitrary	JJ
cord-258235-khdyxiwe	172	15	decision	decision	NN
cord-258235-khdyxiwe	172	16	boundaries	boundary	NNS
cord-258235-khdyxiwe	172	17	.	.	.
cord-258235-khdyxiwe	173	1	The	the	DT
cord-258235-khdyxiwe	173	2	methodology	methodology	NN
cord-258235-khdyxiwe	173	3	outlined	outline	VBN
cord-258235-khdyxiwe	173	4	in	in	IN
cord-258235-khdyxiwe	173	5	[	[	-LRB-
cord-258235-khdyxiwe	173	6	7	7	CD
cord-258235-khdyxiwe	173	7	]	]	-RRB-
cord-258235-khdyxiwe	173	8	can	can	MD
cord-258235-khdyxiwe	173	9	be	be	VB
cord-258235-khdyxiwe	173	10	summarized	summarize	VBN
cord-258235-khdyxiwe	173	11	into	into	IN
cord-258235-khdyxiwe	173	12	three	three	CD
cord-258235-khdyxiwe	173	13	stages	stage	NNS
cord-258235-khdyxiwe	173	14	.	.	.
cord-258235-khdyxiwe	174	1	The	the	DT
cord-258235-khdyxiwe	174	2	first	first	JJ
cord-258235-khdyxiwe	174	3	stage	stage	NN
cord-258235-khdyxiwe	174	4	involves	involve	VBZ
cord-258235-khdyxiwe	174	5	growing	grow	VBG
cord-258235-khdyxiwe	174	6	the	the	DT
cord-258235-khdyxiwe	174	7	tree	tree	NN
cord-258235-khdyxiwe	174	8	using	use	VBG
cord-258235-khdyxiwe	174	9	a	a	DT
cord-258235-khdyxiwe	174	10	recursive	recursive	JJ
cord-258235-khdyxiwe	174	11	partitioning	partitioning	NN
cord-258235-khdyxiwe	174	12	technique	technique	NN
cord-258235-khdyxiwe	174	13	to	to	TO
cord-258235-khdyxiwe	174	14	select	select	VB
cord-258235-khdyxiwe	174	15	essential	essential	JJ
cord-258235-khdyxiwe	174	16	variables	variable	NNS
cord-258235-khdyxiwe	174	17	from	from	IN
cord-258235-khdyxiwe	174	18	a	a	DT
cord-258235-khdyxiwe	174	19	set	set	NN
cord-258235-khdyxiwe	174	20	of	of	IN
cord-258235-khdyxiwe	174	21	possible	possible	JJ
cord-258235-khdyxiwe	174	22	causal	causal	JJ
cord-258235-khdyxiwe	174	23	variables	variable	NNS
cord-258235-khdyxiwe	174	24	and	and	CC
cord-258235-khdyxiwe	174	25	split	split	NN
cord-258235-khdyxiwe	174	26	points	point	NNS
cord-258235-khdyxiwe	174	27	using	use	VBG
cord-258235-khdyxiwe	174	28	a	a	DT
cord-258235-khdyxiwe	174	29	splitting	splitting	JJ
cord-258235-khdyxiwe	174	30	criterion	criterion	NN
cord-258235-khdyxiwe	174	31	.	.	.
cord-258235-khdyxiwe	175	1	The	the	DT
cord-258235-khdyxiwe	175	2	standard	standard	JJ
cord-258235-khdyxiwe	175	3	splitting	splitting	NN
cord-258235-khdyxiwe	175	4	criteria	criterion	NNS
cord-258235-khdyxiwe	175	5	for	for	IN
cord-258235-khdyxiwe	175	6	RT	RT	NNP
cord-258235-khdyxiwe	175	7	is	be	VBZ
cord-258235-khdyxiwe	175	8	the	the	DT
cord-258235-khdyxiwe	175	9	mean	mean	JJ
cord-258235-khdyxiwe	175	10	squared	squared	JJ
cord-258235-khdyxiwe	175	11	error	error	NN
cord-258235-khdyxiwe	175	12	(	(	-LRB-
cord-258235-khdyxiwe	175	13	MSE	MSE	NNP
cord-258235-khdyxiwe	175	14	)	)	-RRB-
cord-258235-khdyxiwe	175	15	.	.	.
cord-258235-khdyxiwe	176	1	After	after	IN
cord-258235-khdyxiwe	176	2	a	a	DT
cord-258235-khdyxiwe	176	3	large	large	JJ
cord-258235-khdyxiwe	176	4	tree	tree	NN
cord-258235-khdyxiwe	176	5	is	be	VBZ
cord-258235-khdyxiwe	176	6	identified	identify	VBN
cord-258235-khdyxiwe	176	7	,	,	,
cord-258235-khdyxiwe	176	8	the	the	DT
cord-258235-khdyxiwe	176	9	second	second	JJ
cord-258235-khdyxiwe	176	10	stage	stage	NN
cord-258235-khdyxiwe	176	11	of	of	IN
cord-258235-khdyxiwe	176	12	RT	RT	NNP
cord-258235-khdyxiwe	176	13	methodology	methodology	NN
cord-258235-khdyxiwe	176	14	uses	use	VBZ
cord-258235-khdyxiwe	176	15	a	a	DT
cord-258235-khdyxiwe	176	16	pruning	pruning	NN
cord-258235-khdyxiwe	176	17	procedure	procedure	NN
cord-258235-khdyxiwe	176	18	that	that	WDT
cord-258235-khdyxiwe	176	19	gives	give	VBZ
cord-258235-khdyxiwe	176	20	a	a	DT
cord-258235-khdyxiwe	176	21	nested	nest	VBN
cord-258235-khdyxiwe	176	22	subset	subset	NN
cord-258235-khdyxiwe	176	23	of	of	IN
cord-258235-khdyxiwe	176	24	trees	tree	NNS
cord-258235-khdyxiwe	176	25	starting	start	VBG
cord-258235-khdyxiwe	176	26	from	from	IN
cord-258235-khdyxiwe	176	27	the	the	DT
cord-258235-khdyxiwe	176	28	largest	large	JJS
cord-258235-khdyxiwe	176	29	tree	tree	NN
cord-258235-khdyxiwe	176	30	grown	grow	VBN
cord-258235-khdyxiwe	176	31	and	and	CC
cord-258235-khdyxiwe	176	32	continuing	continue	VBG
cord-258235-khdyxiwe	176	33	the	the	DT
cord-258235-khdyxiwe	176	34	process	process	NN
cord-258235-khdyxiwe	176	35	until	until	IN
cord-258235-khdyxiwe	176	36	only	only	RB
cord-258235-khdyxiwe	176	37	one	one	CD
cord-258235-khdyxiwe	176	38	node	node	NN
cord-258235-khdyxiwe	176	39	of	of	IN
cord-258235-khdyxiwe	176	40	the	the	DT
cord-258235-khdyxiwe	176	41	tree	tree	NN
cord-258235-khdyxiwe	176	42	remains	remain	VBZ
cord-258235-khdyxiwe	176	43	.	.	.
cord-258235-khdyxiwe	177	1	The	the	DT
cord-258235-khdyxiwe	177	2	cross	cross	NN
cord-258235-khdyxiwe	177	3	-	-	JJ
cord-258235-khdyxiwe	177	4	validation	validation	NN
cord-258235-khdyxiwe	177	5	technique	technique	NN
cord-258235-khdyxiwe	177	6	is	be	VBZ
cord-258235-khdyxiwe	177	7	popularly	popularly	RB
cord-258235-khdyxiwe	177	8	used	use	VBN
cord-258235-khdyxiwe	177	9	to	to	TO
cord-258235-khdyxiwe	177	10	provide	provide	VB
cord-258235-khdyxiwe	177	11	estimates	estimate	NNS
cord-258235-khdyxiwe	177	12	of	of	IN
cord-258235-khdyxiwe	177	13	future	future	JJ
cord-258235-khdyxiwe	177	14	prediction	prediction	NN
cord-258235-khdyxiwe	177	15	errors	error	NNS
cord-258235-khdyxiwe	177	16	for	for	IN
cord-258235-khdyxiwe	177	17	each	each	DT
cord-258235-khdyxiwe	177	18	subtree	subtree	NN
cord-258235-khdyxiwe	177	19	.	.	.
cord-258235-khdyxiwe	178	1	The	the	DT
cord-258235-khdyxiwe	178	2	last	last	JJ
cord-258235-khdyxiwe	178	3	stage	stage	NN
cord-258235-khdyxiwe	178	4	of	of	IN
cord-258235-khdyxiwe	178	5	the	the	DT
cord-258235-khdyxiwe	178	6	RT	RT	NNP
cord-258235-khdyxiwe	178	7	methodology	methodology	NN
cord-258235-khdyxiwe	178	8	selects	select	VBZ
cord-258235-khdyxiwe	178	9	the	the	DT
cord-258235-khdyxiwe	178	10	optimal	optimal	JJ
cord-258235-khdyxiwe	178	11	tree	tree	NN
cord-258235-khdyxiwe	178	12	that	that	WDT
cord-258235-khdyxiwe	178	13	corresponds	correspond	VBZ
cord-258235-khdyxiwe	178	14	to	to	IN
cord-258235-khdyxiwe	178	15	a	a	DT
cord-258235-khdyxiwe	178	16	tree	tree	NN
cord-258235-khdyxiwe	178	17	yielding	yield	VBG
cord-258235-khdyxiwe	178	18	the	the	DT
cord-258235-khdyxiwe	178	19	lowest	low	JJS
cord-258235-khdyxiwe	178	20	cross	cross	NN
cord-258235-khdyxiwe	178	21	-	-	JJ
cord-258235-khdyxiwe	178	22	validated	validate	VBN
cord-258235-khdyxiwe	178	23	or	or	CC
cord-258235-khdyxiwe	178	24	testing	testing	NN
cord-258235-khdyxiwe	178	25	set	set	NN
cord-258235-khdyxiwe	178	26	error	error	NN
cord-258235-khdyxiwe	178	27	rate	rate	NN
cord-258235-khdyxiwe	178	28	.	.	.
cord-258235-khdyxiwe	179	1	To	to	TO
cord-258235-khdyxiwe	179	2	avoid	avoid	VB
cord-258235-khdyxiwe	179	3	instability	instability	NN
cord-258235-khdyxiwe	179	4	of	of	IN
cord-258235-khdyxiwe	179	5	trees	tree	NNS
cord-258235-khdyxiwe	179	6	in	in	IN
cord-258235-khdyxiwe	179	7	this	this	DT
cord-258235-khdyxiwe	179	8	stage	stage	NN
cord-258235-khdyxiwe	179	9	,	,	,
cord-258235-khdyxiwe	179	10	trees	tree	NNS
cord-258235-khdyxiwe	179	11	with	with	IN
cord-258235-khdyxiwe	179	12	smaller	small	JJR
cord-258235-khdyxiwe	179	13	sizes	size	NNS
cord-258235-khdyxiwe	179	14	,	,	,
cord-258235-khdyxiwe	179	15	but	but	CC
cord-258235-khdyxiwe	179	16	comparable	comparable	JJ
cord-258235-khdyxiwe	179	17	in	in	IN
cord-258235-khdyxiwe	179	18	terms	term	NNS
cord-258235-khdyxiwe	179	19	of	of	IN
cord-258235-khdyxiwe	179	20	accuracy	accuracy	NN
cord-258235-khdyxiwe	179	21	,	,	,
cord-258235-khdyxiwe	179	22	are	be	VBP
cord-258235-khdyxiwe	179	23	chosen	choose	VBN
cord-258235-khdyxiwe	179	24	as	as	IN
cord-258235-khdyxiwe	179	25	an	an	DT
cord-258235-khdyxiwe	179	26	alternative	alternative	NN
cord-258235-khdyxiwe	179	27	.	.	.
cord-258235-khdyxiwe	180	1	This	this	DT
cord-258235-khdyxiwe	180	2	process	process	NN
cord-258235-khdyxiwe	180	3	can	can	MD
cord-258235-khdyxiwe	180	4	be	be	VB
cord-258235-khdyxiwe	180	5	tuned	tune	VBN
cord-258235-khdyxiwe	180	6	to	to	TO
cord-258235-khdyxiwe	180	7	obtain	obtain	VB
cord-258235-khdyxiwe	180	8	trees	tree	NNS
cord-258235-khdyxiwe	180	9	of	of	IN
cord-258235-khdyxiwe	180	10	varying	vary	VBG
cord-258235-khdyxiwe	180	11	sizes	size	NNS
cord-258235-khdyxiwe	180	12	and	and	CC
cord-258235-khdyxiwe	180	13	complexity	complexity	NN
cord-258235-khdyxiwe	180	14	.	.	.
cord-258235-khdyxiwe	181	1	A	a	DT
cord-258235-khdyxiwe	181	2	measure	measure	NN
cord-258235-khdyxiwe	181	3	of	of	IN
cord-258235-khdyxiwe	181	4	variable	variable	JJ
cord-258235-khdyxiwe	181	5	importance	importance	NN
cord-258235-khdyxiwe	181	6	can	can	MD
cord-258235-khdyxiwe	181	7	be	be	VB
cord-258235-khdyxiwe	181	8	achieved	achieve	VBN
cord-258235-khdyxiwe	181	9	by	by	IN
cord-258235-khdyxiwe	181	10	observing	observe	VBG
cord-258235-khdyxiwe	181	11	the	the	DT
cord-258235-khdyxiwe	181	12	drop	drop	NN
cord-258235-khdyxiwe	181	13	in	in	IN
cord-258235-khdyxiwe	181	14	the	the	DT
cord-258235-khdyxiwe	181	15	error	error	NN
cord-258235-khdyxiwe	181	16	rate	rate	NN
cord-258235-khdyxiwe	181	17	when	when	WRB
cord-258235-khdyxiwe	181	18	another	another	DT
cord-258235-khdyxiwe	181	19	variable	variable	NN
cord-258235-khdyxiwe	181	20	is	be	VBZ
cord-258235-khdyxiwe	181	21	used	use	VBN
cord-258235-khdyxiwe	181	22	instead	instead	RB
cord-258235-khdyxiwe	181	23	of	of	IN
cord-258235-khdyxiwe	181	24	the	the	DT
cord-258235-khdyxiwe	181	25	primary	primary	JJ
cord-258235-khdyxiwe	181	26	split	split	NN
cord-258235-khdyxiwe	181	27	.	.	.
cord-258235-khdyxiwe	182	1	In	in	IN
cord-258235-khdyxiwe	182	2	general	general	JJ
cord-258235-khdyxiwe	182	3	,	,	,
cord-258235-khdyxiwe	182	4	the	the	DT
cord-258235-khdyxiwe	182	5	more	more	RBR
cord-258235-khdyxiwe	182	6	frequent	frequent	JJ
cord-258235-khdyxiwe	182	7	a	a	DT
cord-258235-khdyxiwe	182	8	variable	variable	NN
cord-258235-khdyxiwe	182	9	appears	appear	VBZ
cord-258235-khdyxiwe	182	10	as	as	IN
cord-258235-khdyxiwe	182	11	a	a	DT
cord-258235-khdyxiwe	182	12	primary	primary	JJ
cord-258235-khdyxiwe	182	13	split	split	NN
cord-258235-khdyxiwe	182	14	,	,	,
cord-258235-khdyxiwe	182	15	the	the	DT
cord-258235-khdyxiwe	182	16	higher	high	JJR
cord-258235-khdyxiwe	182	17	the	the	DT
cord-258235-khdyxiwe	182	18	importance	importance	NN
cord-258235-khdyxiwe	182	19	score	score	NN
cord-258235-khdyxiwe	182	20	assigned	assign	VBN
cord-258235-khdyxiwe	182	21	.	.	.
cord-258235-khdyxiwe	183	1	A	a	DT
cord-258235-khdyxiwe	183	2	detailed	detailed	JJ
cord-258235-khdyxiwe	183	3	description	description	NN
cord-258235-khdyxiwe	183	4	of	of	IN
cord-258235-khdyxiwe	183	5	the	the	DT
cord-258235-khdyxiwe	183	6	tree	tree	NN
cord-258235-khdyxiwe	183	7	building	building	NN
cord-258235-khdyxiwe	183	8	process	process	NN
cord-258235-khdyxiwe	183	9	is	be	VBZ
cord-258235-khdyxiwe	183	10	available	available	JJ
cord-258235-khdyxiwe	183	11	at	at	IN
cord-258235-khdyxiwe	183	12	[	[	-LRB-
cord-258235-khdyxiwe	183	13	17	17	CD
cord-258235-khdyxiwe	183	14	]	]	-RRB-
cord-258235-khdyxiwe	183	15	.	.	.
cord-258235-khdyxiwe	184	1	The	the	DT
cord-258235-khdyxiwe	184	2	rationale	rationale	NN
cord-258235-khdyxiwe	184	3	behind	behind	IN
cord-258235-khdyxiwe	184	4	the	the	DT
cord-258235-khdyxiwe	184	5	choice	choice	NN
cord-258235-khdyxiwe	184	6	of	of	IN
cord-258235-khdyxiwe	184	7	RT	RT	NNP
cord-258235-khdyxiwe	184	8	as	as	IN
cord-258235-khdyxiwe	184	9	a	a	DT
cord-258235-khdyxiwe	184	10	potential	potential	JJ
cord-258235-khdyxiwe	184	11	model	model	NN
cord-258235-khdyxiwe	184	12	to	to	TO
cord-258235-khdyxiwe	184	13	find	find	VB
cord-258235-khdyxiwe	184	14	the	the	DT
cord-258235-khdyxiwe	184	15	important	important	JJ
cord-258235-khdyxiwe	184	16	casual	casual	JJ
cord-258235-khdyxiwe	184	17	variables	variable	NNS
cord-258235-khdyxiwe	184	18	out	out	IN
cord-258235-khdyxiwe	184	19	of	of	IN
cord-258235-khdyxiwe	184	20	10	10	CD
cord-258235-khdyxiwe	184	21	input	input	NN
cord-258235-khdyxiwe	184	22	variables	variable	NNS
cord-258235-khdyxiwe	184	23	for	for	IN
cord-258235-khdyxiwe	184	24	the	the	DT
cord-258235-khdyxiwe	184	25	CFR	CFR	NNP
cord-258235-khdyxiwe	184	26	estimates	estimate	NNS
cord-258235-khdyxiwe	184	27	is	be	VBZ
cord-258235-khdyxiwe	184	28	the	the	DT
cord-258235-khdyxiwe	184	29	simplicity	simplicity	NN
cord-258235-khdyxiwe	184	30	,	,	,
cord-258235-khdyxiwe	184	31	easy	easy	JJ
cord-258235-khdyxiwe	184	32	interpretability	interpretability	NN
cord-258235-khdyxiwe	184	33	,	,	,
cord-258235-khdyxiwe	184	34	and	and	CC
cord-258235-khdyxiwe	184	35	high	high	JJ
cord-258235-khdyxiwe	184	36	accuracy	accuracy	NN
cord-258235-khdyxiwe	184	37	of	of	IN
cord-258235-khdyxiwe	184	38	the	the	DT
cord-258235-khdyxiwe	184	39	RT	RT	NNP
cord-258235-khdyxiwe	184	40	algorithm	algorithm	NN
cord-258235-khdyxiwe	184	41	.	.	.
cord-258235-khdyxiwe	185	1	We	-PRON-	PRP
cord-258235-khdyxiwe	185	2	apply	apply	VBP
cord-258235-khdyxiwe	185	3	an	an	DT
cord-258235-khdyxiwe	185	4	optimal	optimal	JJ
cord-258235-khdyxiwe	185	5	RT	rt	NN
cord-258235-khdyxiwe	185	6	model	model	NN
cord-258235-khdyxiwe	185	7	to	to	IN
cord-258235-khdyxiwe	185	8	the	the	DT
cord-258235-khdyxiwe	185	9	dataset	dataset	NN
cord-258235-khdyxiwe	185	10	consisting	consisting	NN
cord-258235-khdyxiwe	185	11	of	of	IN
cord-258235-khdyxiwe	185	12	50	50	CD
cord-258235-khdyxiwe	185	13	different	different	JJ
cord-258235-khdyxiwe	185	14	country	country	NN
cord-258235-khdyxiwe	185	15	samples	sample	NNS
cord-258235-khdyxiwe	185	16	and	and	CC
cord-258235-khdyxiwe	185	17	try	try	VBP
cord-258235-khdyxiwe	185	18	to	to	TO
cord-258235-khdyxiwe	185	19	find	find	VB
cord-258235-khdyxiwe	185	20	out	out	RP
cord-258235-khdyxiwe	185	21	potential	potential	JJ
cord-258235-khdyxiwe	185	22	casual	casual	JJ
cord-258235-khdyxiwe	185	23	variables	variable	NNS
cord-258235-khdyxiwe	185	24	from	from	IN
cord-258235-khdyxiwe	185	25	the	the	DT
cord-258235-khdyxiwe	185	26	set	set	NN
cord-258235-khdyxiwe	185	27	of	of	IN
cord-258235-khdyxiwe	185	28	available	available	JJ
cord-258235-khdyxiwe	185	29	variables	variable	NNS
cord-258235-khdyxiwe	185	30	that	that	WDT
cord-258235-khdyxiwe	185	31	are	be	VBP
cord-258235-khdyxiwe	185	32	related	relate	VBN
cord-258235-khdyxiwe	185	33	to	to	IN
cord-258235-khdyxiwe	185	34	the	the	DT
cord-258235-khdyxiwe	185	35	case	case	NN
cord-258235-khdyxiwe	185	36	-	-	HYPH
cord-258235-khdyxiwe	185	37	fatality	fatality	NN
cord-258235-khdyxiwe	185	38	rates	rate	NNS
cord-258235-khdyxiwe	185	39	.	.	.
cord-258235-khdyxiwe	186	1	RT	RT	NNP
cord-258235-khdyxiwe	186	2	is	be	VBZ
cord-258235-khdyxiwe	186	3	implemented	implement	VBN
cord-258235-khdyxiwe	186	4	using	use	VBG
cord-258235-khdyxiwe	186	5	'	'	``
cord-258235-khdyxiwe	186	6	rpart	rpart	NN
cord-258235-khdyxiwe	186	7	'	'	''
cord-258235-khdyxiwe	186	8	[	[	-LRB-
cord-258235-khdyxiwe	186	9	31	31	CD
cord-258235-khdyxiwe	186	10	]	]	-RRB-
cord-258235-khdyxiwe	186	11	package	package	NN
cord-258235-khdyxiwe	186	12	in	in	IN
cord-258235-khdyxiwe	186	13	R	r	NN
cord-258235-khdyxiwe	186	14	with	with	IN
cord-258235-khdyxiwe	186	15	"	"	``
cord-258235-khdyxiwe	186	16	minsplit	minsplit	NN
cord-258235-khdyxiwe	186	17	"	"	''
cord-258235-khdyxiwe	186	18	equals	equal	VBZ
cord-258235-khdyxiwe	186	19	to	to	IN
cord-258235-khdyxiwe	186	20	10	10	CD
cord-258235-khdyxiwe	186	21	%	%	NN
cord-258235-khdyxiwe	186	22	of	of	IN
cord-258235-khdyxiwe	186	23	the	the	DT
cord-258235-khdyxiwe	186	24	data	datum	NNS
cord-258235-khdyxiwe	186	25	as	as	IN
cord-258235-khdyxiwe	186	26	a	a	DT
cord-258235-khdyxiwe	186	27	control	control	NN
cord-258235-khdyxiwe	186	28	parameter	parameter	NN
cord-258235-khdyxiwe	186	29	.	.	.
cord-258235-khdyxiwe	187	1	We	-PRON-	PRP
cord-258235-khdyxiwe	187	2	have	have	VBP
cord-258235-khdyxiwe	187	3	used	use	VBN
cord-258235-khdyxiwe	187	4	RMSE	RMSE	NNP
cord-258235-khdyxiwe	187	5	,	,	,
cord-258235-khdyxiwe	187	6	co	co	JJ
cord-258235-khdyxiwe	187	7	-	-	JJ
cord-258235-khdyxiwe	187	8	efficient	efficient	JJ
cord-258235-khdyxiwe	187	9	of	of	IN
cord-258235-khdyxiwe	187	10	multiple	multiple	JJ
cord-258235-khdyxiwe	187	11	determination	determination	NN
cord-258235-khdyxiwe	187	12	(	(	-LRB-
cord-258235-khdyxiwe	187	13	R	R	NNP
cord-258235-khdyxiwe	187	14	2	2	CD
cord-258235-khdyxiwe	187	15	)	)	-RRB-
cord-258235-khdyxiwe	187	16	,	,	,
cord-258235-khdyxiwe	187	17	and	and	CC
cord-258235-khdyxiwe	187	18	adjusted	adjust	VBN
cord-258235-khdyxiwe	187	19	R	R	NNP
cord-258235-khdyxiwe	187	20	2	2	CD
cord-258235-khdyxiwe	187	21	(	(	-LRB-
cord-258235-khdyxiwe	187	22	AdjR	AdjR	NNP
cord-258235-khdyxiwe	187	23	2	2	CD
cord-258235-khdyxiwe	187	24	)	)	-RRB-
cord-258235-khdyxiwe	187	25	to	to	TO
cord-258235-khdyxiwe	187	26	evaluate	evaluate	VB
cord-258235-khdyxiwe	187	27	the	the	DT
cord-258235-khdyxiwe	187	28	predictive	predictive	JJ
cord-258235-khdyxiwe	187	29	performance	performance	NN
cord-258235-khdyxiwe	187	30	of	of	IN
cord-258235-khdyxiwe	187	31	the	the	DT
cord-258235-khdyxiwe	187	32	tree	tree	NN
cord-258235-khdyxiwe	187	33	model	model	NN
cord-258235-khdyxiwe	187	34	used	use	VBN
cord-258235-khdyxiwe	187	35	in	in	IN
cord-258235-khdyxiwe	187	36	this	this	DT
cord-258235-khdyxiwe	187	37	study	study	NN
cord-258235-khdyxiwe	187	38	[	[	-LRB-
cord-258235-khdyxiwe	187	39	17	17	CD
cord-258235-khdyxiwe	187	40	]	]	-RRB-
cord-258235-khdyxiwe	187	41	.	.	.
cord-258235-khdyxiwe	188	1	An	an	DT
cord-258235-khdyxiwe	188	2	optimal	optimal	JJ
cord-258235-khdyxiwe	188	3	regression	regression	NN
cord-258235-khdyxiwe	188	4	tree	tree	NN
cord-258235-khdyxiwe	188	5	is	be	VBZ
cord-258235-khdyxiwe	188	6	built	build	VBN
cord-258235-khdyxiwe	188	7	with	with	IN
cord-258235-khdyxiwe	188	8	7	7	CD
cord-258235-khdyxiwe	188	9	variables	variable	NNS
cord-258235-khdyxiwe	188	10	with	with	IN
cord-258235-khdyxiwe	188	11	'	'	``
cord-258235-khdyxiwe	188	12	minsplit	minsplit	NN
cord-258235-khdyxiwe	188	13	'	'	''
cord-258235-khdyxiwe	188	14	=	=	SYM
cord-258235-khdyxiwe	188	15	5	5	CD
cord-258235-khdyxiwe	188	16	with	with	IN
cord-258235-khdyxiwe	188	17	equal	equal	JJ
cord-258235-khdyxiwe	188	18	costs	cost	NNS
cord-258235-khdyxiwe	188	19	for	for	IN
cord-258235-khdyxiwe	188	20	each	each	DT
cord-258235-khdyxiwe	188	21	variable	variable	NN
cord-258235-khdyxiwe	188	22	.	.	.
cord-258235-khdyxiwe	189	1	The	the	DT
cord-258235-khdyxiwe	189	2	estimates	estimate	NNS
cord-258235-khdyxiwe	189	3	of	of	IN
cord-258235-khdyxiwe	189	4	the	the	DT
cord-258235-khdyxiwe	189	5	performance	performance	NN
cord-258235-khdyxiwe	189	6	metrics	metric	NNS
cord-258235-khdyxiwe	189	7	for	for	IN
cord-258235-khdyxiwe	189	8	the	the	DT
cord-258235-khdyxiwe	189	9	fitted	fit	VBN
cord-258235-khdyxiwe	189	10	tree	tree	NN
cord-258235-khdyxiwe	189	11	are	be	VBP
cord-258235-khdyxiwe	189	12	as	as	IN
cord-258235-khdyxiwe	189	13	follows	follow	VBZ
cord-258235-khdyxiwe	189	14	:	:	:
cord-258235-khdyxiwe	190	1	RMSE	RMSE	NNP
cord-258235-khdyxiwe	190	2	=	=	SYM
cord-258235-khdyxiwe	190	3	0.013	0.013	CD
cord-258235-khdyxiwe	190	4	,	,	,
cord-258235-khdyxiwe	190	5	R	r	NN
cord-258235-khdyxiwe	190	6	2	2	CD
cord-258235-khdyxiwe	190	7	=	=	SYM
cord-258235-khdyxiwe	190	8	0.896	0.896	CD
cord-258235-khdyxiwe	190	9	,	,	,
cord-258235-khdyxiwe	190	10	and	and	CC
cord-258235-khdyxiwe	190	11	AdjR	AdjR	NNP
cord-258235-khdyxiwe	190	12	2	2	CD
cord-258235-khdyxiwe	190	13	=	=	SYM
cord-258235-khdyxiwe	190	14	0.769	0.769	CD
cord-258235-khdyxiwe	190	15	.	.	.
cord-258235-khdyxiwe	191	1	A	a	DT
cord-258235-khdyxiwe	191	2	variable	variable	JJ
cord-258235-khdyxiwe	191	3	importance	importance	NN
cord-258235-khdyxiwe	191	4	list	list	NN
cord-258235-khdyxiwe	191	5	from	from	IN
cord-258235-khdyxiwe	191	6	the	the	DT
cord-258235-khdyxiwe	191	7	RT	RT	NNP
cord-258235-khdyxiwe	191	8	is	be	VBZ
cord-258235-khdyxiwe	191	9	given	give	VBN
cord-258235-khdyxiwe	191	10	in	in	IN
cord-258235-khdyxiwe	191	11	Figure	Figure	NNP
cord-258235-khdyxiwe	191	12	7	7	CD
cord-258235-khdyxiwe	191	13	and	and	CC
cord-258235-khdyxiwe	191	14	the	the	DT
cord-258235-khdyxiwe	191	15	fitted	fitted	JJ
cord-258235-khdyxiwe	191	16	tree	tree	NN
cord-258235-khdyxiwe	191	17	is	be	VBZ
cord-258235-khdyxiwe	191	18	provided	provide	VBN
cord-258235-khdyxiwe	191	19	in	in	IN
cord-258235-khdyxiwe	191	20	Figure	Figure	NNP
cord-258235-khdyxiwe	191	21	8	8	CD
cord-258235-khdyxiwe	191	22	.	.	.
cord-258235-khdyxiwe	192	1	From	from	IN
cord-258235-khdyxiwe	192	2	the	the	DT
cord-258235-khdyxiwe	192	3	variable	variable	JJ
cord-258235-khdyxiwe	192	4	importance	importance	NN
cord-258235-khdyxiwe	192	5	plot	plot	NN
cord-258235-khdyxiwe	192	6	based	base	VBN
cord-258235-khdyxiwe	192	7	on	on	IN
cord-258235-khdyxiwe	192	8	the	the	DT
cord-258235-khdyxiwe	192	9	complexity	complexity	NN
cord-258235-khdyxiwe	192	10	parameter	parameter	NN
cord-258235-khdyxiwe	192	11	of	of	IN
cord-258235-khdyxiwe	192	12	the	the	DT
cord-258235-khdyxiwe	192	13	RT	RT	NNP
cord-258235-khdyxiwe	192	14	model	model	NN
cord-258235-khdyxiwe	192	15	(	(	-LRB-
cord-258235-khdyxiwe	192	16	also	also	RB
cord-258235-khdyxiwe	192	17	see	see	VB
cord-258235-khdyxiwe	192	18	Figure	Figure	NNP
cord-258235-khdyxiwe	192	19	7	7	CD
cord-258235-khdyxiwe	192	20	)	)	-RRB-
cord-258235-khdyxiwe	192	21	,	,	,
cord-258235-khdyxiwe	192	22	seven	seven	CD
cord-258235-khdyxiwe	192	23	causal	causal	JJ
cord-258235-khdyxiwe	192	24	variables	variable	NNS
cord-258235-khdyxiwe	192	25	are	be	VBP
cord-258235-khdyxiwe	192	26	obtained	obtain	VBN
cord-258235-khdyxiwe	192	27	out	out	IN
cord-258235-khdyxiwe	192	28	of	of	IN
cord-258235-khdyxiwe	192	29	10	10	CD
cord-258235-khdyxiwe	192	30	potential	potential	JJ
cord-258235-khdyxiwe	192	31	input	input	NN
cord-258235-khdyxiwe	192	32	variables	variable	NNS
cord-258235-khdyxiwe	192	33	having	have	VBG
cord-258235-khdyxiwe	192	34	higher	high	JJR
cord-258235-khdyxiwe	192	35	importance	importance	NN
cord-258235-khdyxiwe	192	36	.	.	.
cord-258235-khdyxiwe	193	1	These	these	DT
cord-258235-khdyxiwe	193	2	seven	seven	CD
cord-258235-khdyxiwe	193	3	causal	causal	JJ
cord-258235-khdyxiwe	193	4	variables	variable	NNS
cord-258235-khdyxiwe	193	5	that	that	WDT
cord-258235-khdyxiwe	193	6	significantly	significantly	RB
cord-258235-khdyxiwe	193	7	affect	affect	VBP
cord-258235-khdyxiwe	193	8	the	the	DT
cord-258235-khdyxiwe	193	9	CFR	CFR	NNP
cord-258235-khdyxiwe	193	10	for	for	IN
cord-258235-khdyxiwe	193	11	50	50	CD
cord-258235-khdyxiwe	193	12	most	most	RBS
cord-258235-khdyxiwe	193	13	affected	affected	JJ
cord-258235-khdyxiwe	193	14	countries	country	NNS
cord-258235-khdyxiwe	193	15	are	be	VBP
cord-258235-khdyxiwe	193	16	the	the	DT
cord-258235-khdyxiwe	193	17	followings	following	NNS
cord-258235-khdyxiwe	193	18	:	:	:
cord-258235-khdyxiwe	193	19	total	total	JJ
cord-258235-khdyxiwe	193	20	number	number	NN
cord-258235-khdyxiwe	193	21	of	of	IN
cord-258235-khdyxiwe	193	22	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	193	23	cases	case	NNS
cord-258235-khdyxiwe	193	24	in	in	IN
cord-258235-khdyxiwe	193	25	the	the	DT
cord-258235-khdyxiwe	193	26	country	country	NN
cord-258235-khdyxiwe	193	27	(	(	-LRB-
cord-258235-khdyxiwe	193	28	in	in	IN
cord-258235-khdyxiwe	193	29	thousands	thousand	NNS
cord-258235-khdyxiwe	193	30	)	)	-RRB-
cord-258235-khdyxiwe	193	31	,	,	,
cord-258235-khdyxiwe	193	32	percentage	percentage	NN
cord-258235-khdyxiwe	193	33	of	of	IN
cord-258235-khdyxiwe	193	34	people	people	NNS
cord-258235-khdyxiwe	193	35	in	in	IN
cord-258235-khdyxiwe	193	36	the	the	DT
cord-258235-khdyxiwe	193	37	age	age	NN
cord-258235-khdyxiwe	193	38	group	group	NN
cord-258235-khdyxiwe	193	39	of	of	IN
cord-258235-khdyxiwe	193	40	greater	great	JJR
cord-258235-khdyxiwe	193	41	than	than	IN
cord-258235-khdyxiwe	193	42	65	65	CD
cord-258235-khdyxiwe	193	43	years	year	NNS
cord-258235-khdyxiwe	193	44	,	,	,
cord-258235-khdyxiwe	193	45	total	total	JJ
cord-258235-khdyxiwe	193	46	population	population	NN
cord-258235-khdyxiwe	193	47	(	(	-LRB-
cord-258235-khdyxiwe	193	48	in	in	IN
cord-258235-khdyxiwe	193	49	millions	million	NNS
cord-258235-khdyxiwe	193	50	)	)	-RRB-
cord-258235-khdyxiwe	193	51	of	of	IN
cord-258235-khdyxiwe	193	52	the	the	DT
cord-258235-khdyxiwe	193	53	country	country	NN
cord-258235-khdyxiwe	193	54	,	,	,
cord-258235-khdyxiwe	193	55	doctors	doctor	NNS
cord-258235-khdyxiwe	193	56	per	per	IN
cord-258235-khdyxiwe	193	57	1000	1000	CD
cord-258235-khdyxiwe	193	58	people	people	NNS
cord-258235-khdyxiwe	193	59	in	in	IN
cord-258235-khdyxiwe	193	60	the	the	DT
cord-258235-khdyxiwe	193	61	country	country	NN
cord-258235-khdyxiwe	193	62	,	,	,
cord-258235-khdyxiwe	193	63	lockdown	lockdown	NN
cord-258235-khdyxiwe	193	64	period	period	NN
cord-258235-khdyxiwe	193	65	(	(	-LRB-
cord-258235-khdyxiwe	193	66	in	in	IN
cord-258235-khdyxiwe	193	67	days	day	NNS
cord-258235-khdyxiwe	193	68	)	)	-RRB-
cord-258235-khdyxiwe	193	69	for	for	IN
cord-258235-khdyxiwe	193	70	the	the	DT
cord-258235-khdyxiwe	193	71	country	country	NN
cord-258235-khdyxiwe	193	72	,	,	,
cord-258235-khdyxiwe	193	73	time	time	NN
cord-258235-khdyxiwe	193	74	-	-	HYPH
cord-258235-khdyxiwe	193	75	period	period	NN
cord-258235-khdyxiwe	193	76	(	(	-LRB-
cord-258235-khdyxiwe	193	77	in	in	IN
cord-258235-khdyxiwe	193	78	days	day	NNS
cord-258235-khdyxiwe	193	79	)	)	-RRB-
cord-258235-khdyxiwe	193	80	of	of	IN
cord-258235-khdyxiwe	193	81	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	193	82	cases	case	NNS
cord-258235-khdyxiwe	193	83	for	for	IN
cord-258235-khdyxiwe	193	84	the	the	DT
cord-258235-khdyxiwe	193	85	country	country	NN
cord-258235-khdyxiwe	193	86	,	,	,
cord-258235-khdyxiwe	193	87	and	and	CC
cord-258235-khdyxiwe	193	88	hospital	hospital	NN
cord-258235-khdyxiwe	193	89	beds	bed	NNS
cord-258235-khdyxiwe	193	90	per	per	IN
cord-258235-khdyxiwe	193	91	1000	1000	CD
cord-258235-khdyxiwe	193	92	people	people	NNS
cord-258235-khdyxiwe	193	93	in	in	IN
cord-258235-khdyxiwe	193	94	the	the	DT
cord-258235-khdyxiwe	193	95	country	country	NN
cord-258235-khdyxiwe	193	96	.	.	.
cord-258235-khdyxiwe	194	1	Our	-PRON-	PRP$
cord-258235-khdyxiwe	194	2	results	result	NNS
cord-258235-khdyxiwe	194	3	are	be	VBP
cord-258235-khdyxiwe	194	4	consistent	consistent	JJ
cord-258235-khdyxiwe	194	5	with	with	IN
cord-258235-khdyxiwe	194	6	previous	previous	JJ
cord-258235-khdyxiwe	194	7	results	result	NNS
cord-258235-khdyxiwe	194	8	obtained	obtain	VBN
cord-258235-khdyxiwe	194	9	by	by	IN
cord-258235-khdyxiwe	194	10	[	[	-LRB-
cord-258235-khdyxiwe	194	11	30	30	CD
cord-258235-khdyxiwe	194	12	;	;	SYM
cord-258235-khdyxiwe	194	13	18	18	CD
cord-258235-khdyxiwe	194	14	;	;	SYM
cord-258235-khdyxiwe	194	15	5	5	CD
cord-258235-khdyxiwe	194	16	]	]	-RRB-
cord-258235-khdyxiwe	194	17	,	,	,
cord-258235-khdyxiwe	194	18	where	where	WRB
cord-258235-khdyxiwe	194	19	the	the	DT
cord-258235-khdyxiwe	194	20	authors	author	NNS
cord-258235-khdyxiwe	194	21	suggested	suggest	VBD
cord-258235-khdyxiwe	194	22	that	that	IN
cord-258235-khdyxiwe	194	23	the	the	DT
cord-258235-khdyxiwe	194	24	total	total	JJ
cord-258235-khdyxiwe	194	25	number	number	NN
cord-258235-khdyxiwe	194	26	of	of	IN
cord-258235-khdyxiwe	194	27	cases	case	NNS
cord-258235-khdyxiwe	194	28	,	,	,
cord-258235-khdyxiwe	194	29	age	age	NN
cord-258235-khdyxiwe	194	30	distributions	distribution	NNS
cord-258235-khdyxiwe	194	31	,	,	,
cord-258235-khdyxiwe	194	32	and	and	CC
cord-258235-khdyxiwe	194	33	shutdown	shutdown	NN
cord-258235-khdyxiwe	194	34	period	period	NN
cord-258235-khdyxiwe	194	35	have	have	VBP
cord-258235-khdyxiwe	194	36	high	high	JJ
cord-258235-khdyxiwe	194	37	impacts	impact	NNS
cord-258235-khdyxiwe	194	38	on	on	IN
cord-258235-khdyxiwe	194	39	the	the	DT
cord-258235-khdyxiwe	194	40	CFR	CFR	NNP
cord-258235-khdyxiwe	194	41	estimates	estimate	NNS
cord-258235-khdyxiwe	194	42	.	.	.
cord-258235-khdyxiwe	195	1	But	but	CC
cord-258235-khdyxiwe	195	2	interestingly	interestingly	RB
cord-258235-khdyxiwe	195	3	,	,	,
cord-258235-khdyxiwe	195	4	we	-PRON-	PRP
cord-258235-khdyxiwe	195	5	obtained	obtain	VBD
cord-258235-khdyxiwe	195	6	four	four	CD
cord-258235-khdyxiwe	195	7	more	more	RBR
cord-258235-khdyxiwe	195	8	essential	essential	JJ
cord-258235-khdyxiwe	195	9	causal	causal	JJ
cord-258235-khdyxiwe	195	10	variables	variable	NNS
cord-258235-khdyxiwe	195	11	that	that	WDT
cord-258235-khdyxiwe	195	12	will	will	MD
cord-258235-khdyxiwe	195	13	provide	provide	VB
cord-258235-khdyxiwe	195	14	some	some	DT
cord-258235-khdyxiwe	195	15	new	new	JJ
cord-258235-khdyxiwe	195	16	insights	insight	NNS
cord-258235-khdyxiwe	195	17	into	into	IN
cord-258235-khdyxiwe	195	18	the	the	DT
cord-258235-khdyxiwe	195	19	study	study	NN
cord-258235-khdyxiwe	195	20	of	of	IN
cord-258235-khdyxiwe	195	21	risk	risk	NN
cord-258235-khdyxiwe	195	22	assessments	assessment	NNS
cord-258235-khdyxiwe	195	23	for	for	IN
cord-258235-khdyxiwe	195	24	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	195	25	affected	affected	JJ
cord-258235-khdyxiwe	195	26	countries	country	NNS
cord-258235-khdyxiwe	195	27	.	.	.
cord-258235-khdyxiwe	196	1	Out	out	IN
cord-258235-khdyxiwe	196	2	of	of	IN
cord-258235-khdyxiwe	196	3	these	these	DT
cord-258235-khdyxiwe	196	4	7	7	CD
cord-258235-khdyxiwe	196	5	numerical	numerical	JJ
cord-258235-khdyxiwe	196	6	input	input	NN
cord-258235-khdyxiwe	196	7	variables	variable	NNS
cord-258235-khdyxiwe	196	8	,	,	,
cord-258235-khdyxiwe	196	9	there	there	EX
cord-258235-khdyxiwe	196	10	are	be	VBP
cord-258235-khdyxiwe	196	11	four	four	CD
cord-258235-khdyxiwe	196	12	control	control	NN
cord-258235-khdyxiwe	196	13	variables	variable	NNS
cord-258235-khdyxiwe	196	14	(	(	-LRB-
cord-258235-khdyxiwe	196	15	number	number	NN
cord-258235-khdyxiwe	196	16	of	of	IN
cord-258235-khdyxiwe	196	17	cases	case	NNS
cord-258235-khdyxiwe	196	18	,	,	,
cord-258235-khdyxiwe	196	19	people	people	NNS
cord-258235-khdyxiwe	196	20	of	of	IN
cord-258235-khdyxiwe	196	21	age	age	NN
cord-258235-khdyxiwe	196	22	group	group	NN
cord-258235-khdyxiwe	196	23	>	>	XX
cord-258235-khdyxiwe	196	24	65	65	CD
cord-258235-khdyxiwe	196	25	years	year	NNS
cord-258235-khdyxiwe	196	26	,	,	,
cord-258235-khdyxiwe	196	27	lockdown	lockdown	NN
cord-258235-khdyxiwe	196	28	period	period	NN
cord-258235-khdyxiwe	196	29	,	,	,
cord-258235-khdyxiwe	196	30	and	and	CC
cord-258235-khdyxiwe	196	31	hospital	hospital	NN
cord-258235-khdyxiwe	196	32	beds	bed	NNS
cord-258235-khdyxiwe	196	33	per	per	IN
cord-258235-khdyxiwe	196	34	1000	1000	CD
cord-258235-khdyxiwe	196	35	people	people	NNS
cord-258235-khdyxiwe	196	36	)	)	-RRB-
cord-258235-khdyxiwe	196	37	present	present	VBP
cord-258235-khdyxiwe	196	38	that	that	WDT
cord-258235-khdyxiwe	196	39	can	can	MD
cord-258235-khdyxiwe	196	40	be	be	VB
cord-258235-khdyxiwe	196	41	managed	manage	VBN
cord-258235-khdyxiwe	196	42	to	to	TO
cord-258235-khdyxiwe	196	43	fight	fight	VB
cord-258235-khdyxiwe	196	44	against	against	IN
cord-258235-khdyxiwe	196	45	this	this	DT
cord-258235-khdyxiwe	196	46	deadly	deadly	JJ
cord-258235-khdyxiwe	196	47	disease	disease	NN
cord-258235-khdyxiwe	196	48	.	.	.
cord-258235-khdyxiwe	197	1	Once	once	IN
cord-258235-khdyxiwe	197	2	these	these	DT
cord-258235-khdyxiwe	197	3	variables	variable	NNS
cord-258235-khdyxiwe	197	4	are	be	VBP
cord-258235-khdyxiwe	197	5	taken	take	VBN
cord-258235-khdyxiwe	197	6	care	care	NN
cord-258235-khdyxiwe	197	7	of	of	IN
cord-258235-khdyxiwe	197	8	,	,	,
cord-258235-khdyxiwe	197	9	the	the	DT
cord-258235-khdyxiwe	197	10	respective	respective	JJ
cord-258235-khdyxiwe	197	11	country	country	NN
cord-258235-khdyxiwe	197	12	may	may	MD
cord-258235-khdyxiwe	197	13	reduce	reduce	VB
cord-258235-khdyxiwe	197	14	their	-PRON-	PRP$
cord-258235-khdyxiwe	197	15	case	case	NN
cord-258235-khdyxiwe	197	16	fatality	fatality	NN
cord-258235-khdyxiwe	197	17	rate	rate	NN
cord-258235-khdyxiwe	197	18	at	at	IN
cord-258235-khdyxiwe	197	19	a	a	DT
cord-258235-khdyxiwe	197	20	significant	significant	JJ
cord-258235-khdyxiwe	197	21	rate	rate	NN
cord-258235-khdyxiwe	197	22	.	.	.
cord-258235-khdyxiwe	198	1	x.x3	x.x3	NNP
cord-258235-khdyxiwe	198	2	x.x9	x.x9	CD
cord-258235-khdyxiwe	198	3	x.x8	x.x8	NN
cord-258235-khdyxiwe	198	4	x.x5	x.x5	XX
cord-258235-khdyxiwe	199	1	x.x6	x.x6	SYM
cord-258235-khdyxiwe	199	2	x.x7	x.x7	XX
cord-258235-khdyxiwe	200	1	x.x2	x.x2	NNP
cord-258235-khdyxiwe	200	2	x.x4	x.x4	NNP
cord-258235-khdyxiwe	200	3	x.x1	x.x1	NNP
cord-258235-khdyxiwe	200	4	Figure	Figure	NNP
cord-258235-khdyxiwe	200	5	7	7	CD
cord-258235-khdyxiwe	200	6	:	:	:
cord-258235-khdyxiwe	201	1	Variable	variable	JJ
cord-258235-khdyxiwe	201	2	Importance	importance	NN
cord-258235-khdyxiwe	201	3	Percentages	percentage	NNS
cord-258235-khdyxiwe	201	4	affecting	affect	VBG
cord-258235-khdyxiwe	201	5	the	the	DT
cord-258235-khdyxiwe	201	6	CFR	CFR	NNP
cord-258235-khdyxiwe	201	7	based	base	VBN
cord-258235-khdyxiwe	201	8	on	on	IN
cord-258235-khdyxiwe	201	9	a	a	DT
cord-258235-khdyxiwe	201	10	complexity	complexity	NN
cord-258235-khdyxiwe	201	11	parameter	parameter	NN
cord-258235-khdyxiwe	201	12	in	in	IN
cord-258235-khdyxiwe	201	13	RT	RT	NNP
cord-258235-khdyxiwe	201	14	Figure	Figure	NNP
cord-258235-khdyxiwe	201	15	8	8	CD
cord-258235-khdyxiwe	201	16	shows	show	VBZ
cord-258235-khdyxiwe	201	17	the	the	DT
cord-258235-khdyxiwe	201	18	relationship	relationship	NN
cord-258235-khdyxiwe	201	19	between	between	IN
cord-258235-khdyxiwe	201	20	the	the	DT
cord-258235-khdyxiwe	201	21	important	important	JJ
cord-258235-khdyxiwe	201	22	causal	causal	JJ
cord-258235-khdyxiwe	201	23	variables	variable	NNS
cord-258235-khdyxiwe	201	24	and	and	CC
cord-258235-khdyxiwe	201	25	CFR	CFR	NNP
cord-258235-khdyxiwe	201	26	.	.	.
cord-258235-khdyxiwe	202	1	In	in	IN
cord-258235-khdyxiwe	202	2	Figure	Figure	NNP
cord-258235-khdyxiwe	202	3	8	8	CD
cord-258235-khdyxiwe	202	4	,	,	,
cord-258235-khdyxiwe	202	5	the	the	DT
cord-258235-khdyxiwe	202	6	tree	tree	NN
cord-258235-khdyxiwe	202	7	starts	start	VBZ
cord-258235-khdyxiwe	202	8	with	with	IN
cord-258235-khdyxiwe	202	9	the	the	DT
cord-258235-khdyxiwe	202	10	total	total	JJ
cord-258235-khdyxiwe	202	11	number	number	NN
cord-258235-khdyxiwe	202	12	of	of	IN
cord-258235-khdyxiwe	202	13	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	202	14	cases	case	NNS
cord-258235-khdyxiwe	202	15	as	as	IN
cord-258235-khdyxiwe	202	16	the	the	DT
cord-258235-khdyxiwe	202	17	most	most	RBS
cord-258235-khdyxiwe	202	18	crucial	crucial	JJ
cord-258235-khdyxiwe	202	19	causal	causal	JJ
cord-258235-khdyxiwe	202	20	variable	variable	NN
cord-258235-khdyxiwe	202	21	in	in	IN
cord-258235-khdyxiwe	202	22	the	the	DT
cord-258235-khdyxiwe	202	23	parent	parent	NN
cord-258235-khdyxiwe	202	24	node	node	NN
cord-258235-khdyxiwe	202	25	.	.	.
cord-258235-khdyxiwe	203	1	In	in	IN
cord-258235-khdyxiwe	203	2	each	each	DT
cord-258235-khdyxiwe	203	3	box	box	NN
cord-258235-khdyxiwe	203	4	,	,	,
cord-258235-khdyxiwe	203	5	the	the	DT
cord-258235-khdyxiwe	203	6	top	top	JJ
cord-258235-khdyxiwe	203	7	most	most	RBS
cord-258235-khdyxiwe	203	8	numerical	numerical	JJ
cord-258235-khdyxiwe	203	9	values	value	NNS
cord-258235-khdyxiwe	203	10	suggest	suggest	VBP
cord-258235-khdyxiwe	203	11	the	the	DT
cord-258235-khdyxiwe	203	12	average	average	JJ
cord-258235-khdyxiwe	203	13	CFR	CFR	NNP
cord-258235-khdyxiwe	203	14	estimates	estimate	NNS
cord-258235-khdyxiwe	203	15	based	base	VBN
cord-258235-khdyxiwe	203	16	on	on	IN
cord-258235-khdyxiwe	203	17	the	the	DT
cord-258235-khdyxiwe	203	18	tree	tree	NN
cord-258235-khdyxiwe	203	19	.	.	.
cord-258235-khdyxiwe	204	1	One	one	CD
cord-258235-khdyxiwe	204	2	of	of	IN
cord-258235-khdyxiwe	204	3	the	the	DT
cord-258235-khdyxiwe	204	4	key	key	JJ
cord-258235-khdyxiwe	204	5	findings	finding	NNS
cord-258235-khdyxiwe	204	6	of	of	IN
cord-258235-khdyxiwe	204	7	the	the	DT
cord-258235-khdyxiwe	204	8	tree	tree	NN
cord-258235-khdyxiwe	204	9	is	be	VBZ
cord-258235-khdyxiwe	204	10	the	the	DT
cord-258235-khdyxiwe	204	11	following	following	JJ
cord-258235-khdyxiwe	204	12	rule	rule	NN
cord-258235-khdyxiwe	204	13	:	:	:
cord-258235-khdyxiwe	204	14	When	when	WRB
cord-258235-khdyxiwe	204	15	the	the	DT
cord-258235-khdyxiwe	204	16	number	number	NN
cord-258235-khdyxiwe	204	17	of	of	IN
cord-258235-khdyxiwe	204	18	cases	case	NNS
cord-258235-khdyxiwe	204	19	of	of	IN
cord-258235-khdyxiwe	204	20	a	a	DT
cord-258235-khdyxiwe	204	21	country	country	NN
cord-258235-khdyxiwe	204	22	is	be	VBZ
cord-258235-khdyxiwe	204	23	greater	great	JJR
cord-258235-khdyxiwe	204	24	than	than	IN
cord-258235-khdyxiwe	204	25	14,000	14,000	CD
cord-258235-khdyxiwe	204	26	having	have	VBG
cord-258235-khdyxiwe	204	27	a	a	DT
cord-258235-khdyxiwe	204	28	population	population	NN
cord-258235-khdyxiwe	204	29	between	between	IN
cord-258235-khdyxiwe	204	30	14	14	CD
cord-258235-khdyxiwe	204	31	to	to	TO
cord-258235-khdyxiwe	204	32	75	75	CD
cord-258235-khdyxiwe	204	33	million	million	CD
cord-258235-khdyxiwe	204	34	are	be	VBP
cord-258235-khdyxiwe	204	35	having	have	VBG
cord-258235-khdyxiwe	204	36	second	second	RB
cord-258235-khdyxiwe	204	37	highest	high	JJS
cord-258235-khdyxiwe	204	38	case	case	NN
cord-258235-khdyxiwe	204	39	fatality	fatality	NN
cord-258235-khdyxiwe	204	40	rate	rate	NN
cord-258235-khdyxiwe	204	41	,	,	,
cord-258235-khdyxiwe	204	42	viz	viz	NN
cord-258235-khdyxiwe	204	43	.	.	.
cord-258235-khdyxiwe	205	1	,	,	,
cord-258235-khdyxiwe	205	2	10	10	CD
cord-258235-khdyxiwe	205	3	%	%	NN
cord-258235-khdyxiwe	205	4	.	.	.
cord-258235-khdyxiwe	206	1	Similarly	similarly	RB
cord-258235-khdyxiwe	206	2	,	,	,
cord-258235-khdyxiwe	206	3	one	one	PRP
cord-258235-khdyxiwe	206	4	can	can	MD
cord-258235-khdyxiwe	206	5	see	see	VB
cord-258235-khdyxiwe	206	6	all	all	PDT
cord-258235-khdyxiwe	206	7	the	the	DT
cord-258235-khdyxiwe	206	8	rules	rule	NNS
cord-258235-khdyxiwe	206	9	generated	generate	VBN
cord-258235-khdyxiwe	206	10	by	by	IN
cord-258235-khdyxiwe	206	11	RT	RT	NNP
cord-258235-khdyxiwe	206	12	to	to	TO
cord-258235-khdyxiwe	206	13	get	get	VB
cord-258235-khdyxiwe	206	14	additional	additional	JJ
cord-258235-khdyxiwe	206	15	information	information	NN
cord-258235-khdyxiwe	206	16	about	about	IN
cord-258235-khdyxiwe	206	17	the	the	DT
cord-258235-khdyxiwe	206	18	relationships	relationship	NNS
cord-258235-khdyxiwe	206	19	between	between	IN
cord-258235-khdyxiwe	206	20	control	control	NN
cord-258235-khdyxiwe	206	21	parameters	parameter	NNS
cord-258235-khdyxiwe	206	22	and	and	CC
cord-258235-khdyxiwe	206	23	the	the	DT
cord-258235-khdyxiwe	206	24	response	response	NN
cord-258235-khdyxiwe	206	25	CFR	CFR	NNP
cord-258235-khdyxiwe	206	26	variable	variable	NN
cord-258235-khdyxiwe	206	27	.	.	.
cord-258235-khdyxiwe	207	1	x.x1	x.x1	NN
cord-258235-khdyxiwe	207	2	>	>	XX
cord-258235-khdyxiwe	207	3	=	=	NFP
cord-258235-khdyxiwe	208	1	0.99	0.99	CD
cord-258235-khdyxiwe	208	2	x.x1	x.x1	XX
cord-258235-khdyxiwe	208	3	<	<	XX
cord-258235-khdyxiwe	208	4	14	14	CD
cord-258235-khdyxiwe	208	5	x.x4	x.x4	NN
cord-258235-khdyxiwe	208	6	>	>	XX
cord-258235-khdyxiwe	208	7	=	=	CD
cord-258235-khdyxiwe	208	8	7.4	7.4	CD
cord-258235-khdyxiwe	208	9	x.x4	x.x4	CD
cord-258235-khdyxiwe	208	10	<	<	XX
cord-258235-khdyxiwe	208	11	19	19	CD
cord-258235-khdyxiwe	208	12	x.x7	x.x7	NN
cord-258235-khdyxiwe	208	13	>	>	XX
cord-258235-khdyxiwe	208	14	=	=	SYM
cord-258235-khdyxiwe	208	15	3.4	3.4	CD
cord-258235-khdyxiwe	208	16	x.x4	x.x4	CD
cord-258235-khdyxiwe	209	1	>	>	XX
cord-258235-khdyxiwe	210	1	=	=	SYM
cord-258235-khdyxiwe	210	2	21	21	CD
cord-258235-khdyxiwe	211	1	x.x5	x.x5	NNP
cord-258235-khdyxiwe	211	2	<	<	XX
cord-258235-khdyxiwe	211	3	21	21	CD
cord-258235-khdyxiwe	212	1	x.x4	x.x4	CD
cord-258235-khdyxiwe	213	1	<	<	XX
cord-258235-khdyxiwe	213	2	6.6	6.6	CD
cord-258235-khdyxiwe	213	3	x.x2	x.x2	CD
cord-258235-khdyxiwe	214	1	>	>	XX
cord-258235-khdyxiwe	215	1	=	=	SYM
cord-258235-khdyxiwe	215	2	75	75	CD
cord-258235-khdyxiwe	215	3	x.x6	x.x6	SYM
cord-258235-khdyxiwe	215	4	<	<	XX
cord-258235-khdyxiwe	215	5	76	76	CD
cord-258235-khdyxiwe	216	1	x.x2	x.x2	NNP
cord-258235-khdyxiwe	216	2	<	<	XX
cord-258235-khdyxiwe	216	3	14	14	CD
cord-258235-khdyxiwe	217	1	x.x8	x.x8	NNP
cord-258235-khdyxiwe	218	1	<	<	XX
cord-258235-khdyxiwe	218	2	1.5	1.5	CD
cord-258235-khdyxiwe	219	1	yes	yes	UH
cord-258235-khdyxiwe	220	1	no	no	DT
cord-258235-khdyxiwe	220	2	x.x1	x.x1	XX
cord-258235-khdyxiwe	220	3	>	>	XX
cord-258235-khdyxiwe	221	1	=	=	SYM
cord-258235-khdyxiwe	221	2	0.99	0.99	CD
cord-258235-khdyxiwe	221	3	x.x1	x.x1	XX
cord-258235-khdyxiwe	221	4	<	<	XX
cord-258235-khdyxiwe	221	5	14	14	CD
cord-258235-khdyxiwe	221	6	x.x4	x.x4	NN
cord-258235-khdyxiwe	221	7	>	>	XX
cord-258235-khdyxiwe	221	8	=	=	CD
cord-258235-khdyxiwe	221	9	7.4	7.4	CD
cord-258235-khdyxiwe	221	10	x.x4	x.x4	CD
cord-258235-khdyxiwe	221	11	<	<	XX
cord-258235-khdyxiwe	221	12	19	19	CD
cord-258235-khdyxiwe	221	13	x.x7	x.x7	NN
cord-258235-khdyxiwe	221	14	>	>	XX
cord-258235-khdyxiwe	221	15	=	=	SYM
cord-258235-khdyxiwe	221	16	3.4	3.4	CD
cord-258235-khdyxiwe	221	17	x.x4	x.x4	CD
cord-258235-khdyxiwe	222	1	>	>	XX
cord-258235-khdyxiwe	223	1	=	=	SYM
cord-258235-khdyxiwe	223	2	21	21	CD
cord-258235-khdyxiwe	224	1	x.x5	x.x5	NNP
cord-258235-khdyxiwe	224	2	<	<	XX
cord-258235-khdyxiwe	224	3	21	21	CD
cord-258235-khdyxiwe	225	1	x.x4	x.x4	CD
cord-258235-khdyxiwe	226	1	<	<	XX
cord-258235-khdyxiwe	226	2	6.6	6.6	CD
cord-258235-khdyxiwe	226	3	x.x2	x.x2	CD
cord-258235-khdyxiwe	227	1	>	>	XX
cord-258235-khdyxiwe	228	1	=	=	SYM
cord-258235-khdyxiwe	228	2	75	75	CD
cord-258235-khdyxiwe	228	3	x.x6	x.x6	SYM
cord-258235-khdyxiwe	228	4	<	<	XX
cord-258235-khdyxiwe	228	5	76	76	CD
cord-258235-khdyxiwe	229	1	x.x2	x.x2	NNP
cord-258235-khdyxiwe	230	1	<	<	XX
cord-258235-khdyxiwe	231	1	14	14	CD
cord-258235-khdyxiwe	232	1	x	x	NNP
cord-258235-khdyxiwe	232	2	 	 	_SP
cord-258235-khdyxiwe	233	1	We	-PRON-	PRP
cord-258235-khdyxiwe	233	2	made	make	VBD
cord-258235-khdyxiwe	233	3	some	some	DT
cord-258235-khdyxiwe	233	4	simplifying	simplify	VBG
cord-258235-khdyxiwe	233	5	assumptions	assumption	NNS
cord-258235-khdyxiwe	233	6	to	to	TO
cord-258235-khdyxiwe	233	7	carry	carry	VB
cord-258235-khdyxiwe	233	8	out	out	RP
cord-258235-khdyxiwe	233	9	the	the	DT
cord-258235-khdyxiwe	233	10	analysis	analysis	NN
cord-258235-khdyxiwe	233	11	of	of	IN
cord-258235-khdyxiwe	233	12	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	233	13	datasets	dataset	NNS
cord-258235-khdyxiwe	233	14	.	.	.
cord-258235-khdyxiwe	234	1	The	the	DT
cord-258235-khdyxiwe	234	2	assumptions	assumption	NNS
cord-258235-khdyxiwe	234	3	are	be	VBP
cord-258235-khdyxiwe	234	4	listed	list	VBN
cord-258235-khdyxiwe	234	5	as	as	IN
cord-258235-khdyxiwe	234	6	follows	follow	VBZ
cord-258235-khdyxiwe	234	7	:	:	:
cord-258235-khdyxiwe	234	8	(	(	-LRB-
cord-258235-khdyxiwe	234	9	a	a	LS
cord-258235-khdyxiwe	234	10	)	)	-RRB-
cord-258235-khdyxiwe	234	11	the	the	DT
cord-258235-khdyxiwe	234	12	virus	virus	NN
cord-258235-khdyxiwe	234	13	mutation	mutation	NN
cord-258235-khdyxiwe	234	14	rates	rate	NNS
cord-258235-khdyxiwe	234	15	are	be	VBP
cord-258235-khdyxiwe	234	16	comparable	comparable	JJ
cord-258235-khdyxiwe	234	17	for	for	IN
cord-258235-khdyxiwe	234	18	different	different	JJ
cord-258235-khdyxiwe	234	19	countries	country	NNS
cord-258235-khdyxiwe	234	20	;	;	,
cord-258235-khdyxiwe	234	21	(	(	-LRB-
cord-258235-khdyxiwe	234	22	b	b	NN
cord-258235-khdyxiwe	234	23	)	)	-RRB-
cord-258235-khdyxiwe	234	24	the	the	DT
cord-258235-khdyxiwe	234	25	recovered	recover	VBN
cord-258235-khdyxiwe	234	26	persons	person	NNS
cord-258235-khdyxiwe	234	27	will	will	MD
cord-258235-khdyxiwe	234	28	achieve	achieve	VB
cord-258235-khdyxiwe	234	29	permanent	permanent	JJ
cord-258235-khdyxiwe	234	30	immunity	immunity	NN
cord-258235-khdyxiwe	234	31	against	against	IN
cord-258235-khdyxiwe	234	32	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	234	33	;	;	:
cord-258235-khdyxiwe	234	34	(	(	-LRB-
cord-258235-khdyxiwe	234	35	c	c	NN
cord-258235-khdyxiwe	234	36	)	)	-RRB-
cord-258235-khdyxiwe	234	37	we	-PRON-	PRP
cord-258235-khdyxiwe	234	38	ignore	ignore	VBP
cord-258235-khdyxiwe	234	39	the	the	DT
cord-258235-khdyxiwe	234	40	effect	effect	NN
cord-258235-khdyxiwe	234	41	of	of	IN
cord-258235-khdyxiwe	234	42	climate	climate	NN
cord-258235-khdyxiwe	234	43	change	change	NN
cord-258235-khdyxiwe	234	44	(	(	-LRB-
cord-258235-khdyxiwe	234	45	also	also	RB
cord-258235-khdyxiwe	234	46	spatial	spatial	JJ
cord-258235-khdyxiwe	234	47	data	data	NN
cord-258235-khdyxiwe	234	48	structures	structure	NNS
cord-258235-khdyxiwe	234	49	)	)	-RRB-
cord-258235-khdyxiwe	234	50	during	during	IN
cord-258235-khdyxiwe	234	51	the	the	DT
cord-258235-khdyxiwe	234	52	shortterm	shortterm	JJ
cord-258235-khdyxiwe	234	53	predictions	prediction	NNS
cord-258235-khdyxiwe	234	54	.	.	.
cord-258235-khdyxiwe	235	1	Along	along	IN
cord-258235-khdyxiwe	235	2	in	in	IN
cord-258235-khdyxiwe	235	3	this	this	DT
cord-258235-khdyxiwe	235	4	line	line	NN
cord-258235-khdyxiwe	235	5	,	,	,
cord-258235-khdyxiwe	235	6	we	-PRON-	PRP
cord-258235-khdyxiwe	235	7	presented	present	VBD
cord-258235-khdyxiwe	235	8	two	two	CD
cord-258235-khdyxiwe	235	9	different	different	JJ
cord-258235-khdyxiwe	235	10	approaches	approach	NNS
cord-258235-khdyxiwe	235	11	to	to	TO
cord-258235-khdyxiwe	235	12	deal	deal	VB
cord-258235-khdyxiwe	235	13	with	with	IN
cord-258235-khdyxiwe	235	14	two	two	CD
cord-258235-khdyxiwe	235	15	inter	inter	JJ
cord-258235-khdyxiwe	235	16	-	-	JJ
cord-258235-khdyxiwe	235	17	connected	connected	JJ
cord-258235-khdyxiwe	235	18	problems	problem	NNS
cord-258235-khdyxiwe	235	19	on	on	IN
cord-258235-khdyxiwe	235	20	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	235	21	.	.	.
cord-258235-khdyxiwe	236	1	In	in	IN
cord-258235-khdyxiwe	236	2	the	the	DT
cord-258235-khdyxiwe	236	3	first	first	JJ
cord-258235-khdyxiwe	236	4	problem	problem	NN
cord-258235-khdyxiwe	236	5	of	of	IN
cord-258235-khdyxiwe	236	6	short	short	JJ
cord-258235-khdyxiwe	236	7	-	-	HYPH
cord-258235-khdyxiwe	236	8	term	term	NN
cord-258235-khdyxiwe	236	9	predictions	prediction	NNS
cord-258235-khdyxiwe	236	10	for	for	IN
cord-258235-khdyxiwe	236	11	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	236	12	outbreak	outbreak	NN
cord-258235-khdyxiwe	236	13	in	in	IN
cord-258235-khdyxiwe	236	14	five	five	CD
cord-258235-khdyxiwe	236	15	countries	country	NNS
cord-258235-khdyxiwe	236	16	,	,	,
cord-258235-khdyxiwe	236	17	we	-PRON-	PRP
cord-258235-khdyxiwe	236	18	proposed	propose	VBD
cord-258235-khdyxiwe	236	19	a	a	DT
cord-258235-khdyxiwe	236	20	hybrid	hybrid	JJ
cord-258235-khdyxiwe	236	21	methodology	methodology	NN
cord-258235-khdyxiwe	236	22	combining	combine	VBG
cord-258235-khdyxiwe	236	23	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	236	24	and	and	CC
cord-258235-khdyxiwe	236	25	WBF	WBF	NNP
cord-258235-khdyxiwe	236	26	models	model	NNS
cord-258235-khdyxiwe	236	27	.	.	.
cord-258235-khdyxiwe	237	1	In	in	IN
cord-258235-khdyxiwe	237	2	the	the	DT
cord-258235-khdyxiwe	237	3	second	second	JJ
cord-258235-khdyxiwe	237	4	problem	problem	NN
cord-258235-khdyxiwe	237	5	of	of	IN
cord-258235-khdyxiwe	237	6	risk	risk	NN
cord-258235-khdyxiwe	237	7	assessment	assessment	NN
cord-258235-khdyxiwe	237	8	,	,	,
cord-258235-khdyxiwe	237	9	we	-PRON-	PRP
cord-258235-khdyxiwe	237	10	found	find	VBD
cord-258235-khdyxiwe	237	11	some	some	DT
cord-258235-khdyxiwe	237	12	important	important	JJ
cord-258235-khdyxiwe	237	13	factors	factor	NNS
cord-258235-khdyxiwe	237	14	affecting	affect	VBG
cord-258235-khdyxiwe	237	15	case	case	NN
cord-258235-khdyxiwe	237	16	fatality	fatality	NN
cord-258235-khdyxiwe	237	17	rates	rate	NNS
cord-258235-khdyxiwe	237	18	of	of	IN
cord-258235-khdyxiwe	237	19	COVID	COVID	NNP
cord-258235-khdyxiwe	237	20	for	for	IN
cord-258235-khdyxiwe	237	21	50	50	CD
cord-258235-khdyxiwe	237	22	highly	highly	RB
cord-258235-khdyxiwe	237	23	affected	affect	VBN
cord-258235-khdyxiwe	237	24	nations	nation	NNS
cord-258235-khdyxiwe	237	25	.	.	.
cord-258235-khdyxiwe	238	1	However	however	RB
cord-258235-khdyxiwe	238	2	,	,	,
cord-258235-khdyxiwe	238	3	there	there	EX
cord-258235-khdyxiwe	238	4	may	may	MD
cord-258235-khdyxiwe	238	5	exist	exist	VB
cord-258235-khdyxiwe	238	6	a	a	DT
cord-258235-khdyxiwe	238	7	few	few	JJ
cord-258235-khdyxiwe	238	8	more	more	RBR
cord-258235-khdyxiwe	238	9	controllable	controllable	JJ
cord-258235-khdyxiwe	238	10	factor(s	factor(s	NNP
cord-258235-khdyxiwe	238	11	)	)	-RRB-
cord-258235-khdyxiwe	238	12	,	,	,
cord-258235-khdyxiwe	238	13	and	and	CC
cord-258235-khdyxiwe	238	14	some	some	DT
cord-258235-khdyxiwe	238	15	disease	disease	NN
cord-258235-khdyxiwe	238	16	-	-	HYPH
cord-258235-khdyxiwe	238	17	based	base	VBN
cord-258235-khdyxiwe	238	18	characteristics	characteristic	NNS
cord-258235-khdyxiwe	238	19	that	that	WDT
cord-258235-khdyxiwe	238	20	can	can	MD
cord-258235-khdyxiwe	238	21	also	also	RB
cord-258235-khdyxiwe	238	22	have	have	VB
cord-258235-khdyxiwe	238	23	an	an	DT
cord-258235-khdyxiwe	238	24	impact	impact	NN
cord-258235-khdyxiwe	238	25	on	on	IN
cord-258235-khdyxiwe	238	26	the	the	DT
cord-258235-khdyxiwe	238	27	value	value	NN
cord-258235-khdyxiwe	238	28	of	of	IN
cord-258235-khdyxiwe	238	29	CFR	CFR	NNP
cord-258235-khdyxiwe	238	30	for	for	IN
cord-258235-khdyxiwe	238	31	different	different	JJ
cord-258235-khdyxiwe	238	32	countries	country	NNS
cord-258235-khdyxiwe	238	33	,	,	,
cord-258235-khdyxiwe	238	34	can	can	MD
cord-258235-khdyxiwe	238	35	be	be	VB
cord-258235-khdyxiwe	238	36	regarded	regard	VBN
cord-258235-khdyxiwe	238	37	as	as	IN
cord-258235-khdyxiwe	238	38	future	future	JJ
cord-258235-khdyxiwe	238	39	scope	scope	NN
cord-258235-khdyxiwe	238	40	of	of	IN
cord-258235-khdyxiwe	238	41	the	the	DT
cord-258235-khdyxiwe	238	42	study	study	NN
cord-258235-khdyxiwe	238	43	.	.	.
cord-258235-khdyxiwe	239	1	The	the	DT
cord-258235-khdyxiwe	239	2	COVID-19	covid-19	CD
cord-258235-khdyxiwe	239	3	outbreaks	outbreak	NNS
cord-258235-khdyxiwe	239	4	globally	globally	RB
cord-258235-khdyxiwe	239	5	present	present	VBP
cord-258235-khdyxiwe	239	6	a	a	DT
cord-258235-khdyxiwe	239	7	significant	significant	JJ
cord-258235-khdyxiwe	239	8	challenge	challenge	NN
cord-258235-khdyxiwe	239	9	for	for	IN
cord-258235-khdyxiwe	239	10	modelers	modeler	NNS
cord-258235-khdyxiwe	239	11	,	,	,
cord-258235-khdyxiwe	239	12	as	as	IN
cord-258235-khdyxiwe	239	13	there	there	EX
cord-258235-khdyxiwe	239	14	are	be	VBP
cord-258235-khdyxiwe	239	15	limited	limited	JJ
cord-258235-khdyxiwe	239	16	data	datum	NNS
cord-258235-khdyxiwe	239	17	available	available	JJ
cord-258235-khdyxiwe	239	18	on	on	IN
cord-258235-khdyxiwe	239	19	the	the	DT
cord-258235-khdyxiwe	239	20	early	early	JJ
cord-258235-khdyxiwe	239	21	growth	growth	NN
cord-258235-khdyxiwe	239	22	trajectory	trajectory	NN
cord-258235-khdyxiwe	239	23	,	,	,
cord-258235-khdyxiwe	239	24	and	and	CC
cord-258235-khdyxiwe	239	25	epidemiological	epidemiological	JJ
cord-258235-khdyxiwe	239	26	characteristics	characteristic	NNS
cord-258235-khdyxiwe	239	27	of	of	IN
cord-258235-khdyxiwe	239	28	the	the	DT
cord-258235-khdyxiwe	239	29	novel	novel	JJ
cord-258235-khdyxiwe	239	30	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	239	31	have	have	VBP
cord-258235-khdyxiwe	239	32	not	not	RB
cord-258235-khdyxiwe	239	33	been	be	VBN
cord-258235-khdyxiwe	239	34	fully	fully	RB
cord-258235-khdyxiwe	239	35	elucidated	elucidate	VBN
cord-258235-khdyxiwe	239	36	.	.	.
cord-258235-khdyxiwe	240	1	In	in	IN
cord-258235-khdyxiwe	240	2	this	this	DT
cord-258235-khdyxiwe	240	3	study	study	NN
cord-258235-khdyxiwe	240	4	,	,	,
cord-258235-khdyxiwe	240	5	we	-PRON-	PRP
cord-258235-khdyxiwe	240	6	considered	consider	VBD
cord-258235-khdyxiwe	240	7	two	two	CD
cord-258235-khdyxiwe	240	8	alarmingly	alarmingly	RB
cord-258235-khdyxiwe	240	9	important	important	JJ
cord-258235-khdyxiwe	240	10	problems	problem	NNS
cord-258235-khdyxiwe	240	11	relevant	relevant	JJ
cord-258235-khdyxiwe	240	12	to	to	IN
cord-258235-khdyxiwe	240	13	ongoing	ongoing	JJ
cord-258235-khdyxiwe	240	14	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	240	15	pandemic	pandemic	NN
cord-258235-khdyxiwe	240	16	.	.	.
cord-258235-khdyxiwe	241	1	The	the	DT
cord-258235-khdyxiwe	241	2	first	first	JJ
cord-258235-khdyxiwe	241	3	problem	problem	NN
cord-258235-khdyxiwe	241	4	deals	deal	VBZ
cord-258235-khdyxiwe	241	5	with	with	IN
cord-258235-khdyxiwe	241	6	the	the	DT
cord-258235-khdyxiwe	241	7	real	real	JJ
cord-258235-khdyxiwe	241	8	-	-	HYPH
cord-258235-khdyxiwe	241	9	time	time	NN
cord-258235-khdyxiwe	241	10	forecasts	forecast	NNS
cord-258235-khdyxiwe	241	11	of	of	IN
cord-258235-khdyxiwe	241	12	the	the	DT
cord-258235-khdyxiwe	241	13	daily	daily	JJ
cord-258235-khdyxiwe	241	14	COVID-19	covid-19	CD
cord-258235-khdyxiwe	241	15	cases	case	NNS
cord-258235-khdyxiwe	241	16	in	in	IN
cord-258235-khdyxiwe	241	17	five	five	CD
cord-258235-khdyxiwe	241	18	different	different	JJ
cord-258235-khdyxiwe	241	19	countries	country	NNS
cord-258235-khdyxiwe	241	20	.	.	.
cord-258235-khdyxiwe	242	1	We	-PRON-	PRP
cord-258235-khdyxiwe	242	2	proposed	propose	VBD
cord-258235-khdyxiwe	242	3	a	a	DT
cord-258235-khdyxiwe	242	4	hybrid	hybrid	JJ
cord-258235-khdyxiwe	242	5	ARIMA	ARIMA	NNP
cord-258235-khdyxiwe	242	6	-	-	HYPH
cord-258235-khdyxiwe	242	7	WBF	WBF	NNP
cord-258235-khdyxiwe	242	8	model	model	NN
cord-258235-khdyxiwe	242	9	that	that	WDT
cord-258235-khdyxiwe	242	10	can	can	MD
cord-258235-khdyxiwe	242	11	explain	explain	VB
cord-258235-khdyxiwe	242	12	the	the	DT
cord-258235-khdyxiwe	242	13	nonlinear	nonlinear	JJ
cord-258235-khdyxiwe	242	14	and	and	CC
cord-258235-khdyxiwe	242	15	nonstationary	nonstationary	JJ
cord-258235-khdyxiwe	242	16	behavior	behavior	NN
cord-258235-khdyxiwe	242	17	present	present	JJ
cord-258235-khdyxiwe	242	18	in	in	IN
cord-258235-khdyxiwe	242	19	the	the	DT
cord-258235-khdyxiwe	242	20	univariate	univariate	JJ
cord-258235-khdyxiwe	242	21	time	time	NN
cord-258235-khdyxiwe	242	22	series	series	NN
cord-258235-khdyxiwe	242	23	datasets	dataset	NNS
cord-258235-khdyxiwe	242	24	of	of	IN
cord-258235-khdyxiwe	242	25	COVID-19	covid-19	JJ
cord-258235-khdyxiwe	242	26	cases	case	NNS
cord-258235-khdyxiwe	242	27	.	.	.
cord-258235-khdyxiwe	243	1	Ten	ten	CD
cord-258235-khdyxiwe	243	2	days	day	NNS
cord-258235-khdyxiwe	243	3	ahead	ahead	RB
cord-258235-khdyxiwe	243	4	forecasts	forecast	NNS
cord-258235-khdyxiwe	243	5	are	be	VBP
cord-258235-khdyxiwe	243	6	provided	provide	VBN
cord-258235-khdyxiwe	243	7	for	for	IN
cord-258235-khdyxiwe	243	8	Canada	Canada	NNP
cord-258235-khdyxiwe	243	9	,	,	,
cord-258235-khdyxiwe	243	10	France	France	NNP
cord-258235-khdyxiwe	243	11	,	,	,
cord-258235-khdyxiwe	243	12	India	India	NNP
cord-258235-khdyxiwe	243	13	,	,	,
cord-258235-khdyxiwe	243	14	South	South	NNP
cord-258235-khdyxiwe	243	15	Korea	Korea	NNP
cord-258235-khdyxiwe	243	16	,	,	,
cord-258235-khdyxiwe	243	17	and	and	CC
cord-258235-khdyxiwe	243	18	the	the	DT
cord-258235-khdyxiwe	243	19	UK	UK	NNP
cord-258235-khdyxiwe	243	20	.	.	.
cord-258235-khdyxiwe	244	1	The	the	DT
cord-258235-khdyxiwe	244	2	proposed	propose	VBN
cord-258235-khdyxiwe	244	3	model	model	NN
cord-258235-khdyxiwe	244	4	can	can	MD
cord-258235-khdyxiwe	244	5	be	be	VB
cord-258235-khdyxiwe	244	6	used	use	VBN
cord-258235-khdyxiwe	244	7	as	as	IN
cord-258235-khdyxiwe	244	8	an	an	DT
cord-258235-khdyxiwe	244	9	early	early	JJ
cord-258235-khdyxiwe	244	10	warning	warning	NN
cord-258235-khdyxiwe	244	11	system	system	NN
cord-258235-khdyxiwe	244	12	to	to	TO
cord-258235-khdyxiwe	244	13	fight	fight	VB
cord-258235-khdyxiwe	244	14	against	against	IN
cord-258235-khdyxiwe	244	15	the	the	DT
cord-258235-khdyxiwe	244	16	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	244	17	pandemic	pandemic	NN
cord-258235-khdyxiwe	244	18	.	.	.
cord-258235-khdyxiwe	245	1	Below	below	IN
cord-258235-khdyxiwe	245	2	we	-PRON-	PRP
cord-258235-khdyxiwe	245	3	present	present	VBP
cord-258235-khdyxiwe	245	4	a	a	DT
cord-258235-khdyxiwe	245	5	list	list	NN
cord-258235-khdyxiwe	245	6	of	of	IN
cord-258235-khdyxiwe	245	7	suggestions	suggestion	NNS
cord-258235-khdyxiwe	245	8	based	base	VBN
cord-258235-khdyxiwe	245	9	on	on	IN
cord-258235-khdyxiwe	245	10	the	the	DT
cord-258235-khdyxiwe	245	11	results	result	NNS
cord-258235-khdyxiwe	245	12	of	of	IN
cord-258235-khdyxiwe	245	13	the	the	DT
cord-258235-khdyxiwe	245	14	real	real	JJ
cord-258235-khdyxiwe	245	15	-	-	HYPH
cord-258235-khdyxiwe	245	16	time	time	NN
cord-258235-khdyxiwe	245	17	forecasts	forecast	NNS
cord-258235-khdyxiwe	245	18	.	.	.
cord-258235-khdyxiwe	246	1	1	1	LS
cord-258235-khdyxiwe	246	2	.	.	.
cord-258235-khdyxiwe	247	1	Since	since	IN
cord-258235-khdyxiwe	247	2	we	-PRON-	PRP
cord-258235-khdyxiwe	247	3	presented	present	VBD
cord-258235-khdyxiwe	247	4	a	a	DT
cord-258235-khdyxiwe	247	5	real	real	JJ
cord-258235-khdyxiwe	247	6	-	-	HYPH
cord-258235-khdyxiwe	247	7	time	time	NN
cord-258235-khdyxiwe	247	8	forecast	forecast	NN
cord-258235-khdyxiwe	247	9	system	system	NN
cord-258235-khdyxiwe	247	10	unlike	unlike	IN
cord-258235-khdyxiwe	247	11	an	an	DT
cord-258235-khdyxiwe	247	12	ex	ex	JJ
cord-258235-khdyxiwe	247	13	-	-	JJ
cord-258235-khdyxiwe	247	14	post	post	JJ
cord-258235-khdyxiwe	247	15	analysis	analysis	NN
cord-258235-khdyxiwe	247	16	,	,	,
cord-258235-khdyxiwe	247	17	thus	thus	RB
cord-258235-khdyxiwe	247	18	one	one	PRP
cord-258235-khdyxiwe	247	19	can	can	MD
cord-258235-khdyxiwe	247	20	regularly	regularly	RB
cord-258235-khdyxiwe	247	21	update	update	VB
cord-258235-khdyxiwe	247	22	the	the	DT
cord-258235-khdyxiwe	247	23	actual	actual	NN
cord-258235-khdyxiwe	247	24	confirmed	confirm	VBN
cord-258235-khdyxiwe	247	25	cases	case	NNS
cord-258235-khdyxiwe	247	26	and	and	CC
cord-258235-khdyxiwe	247	27	update	update	VB
cord-258235-khdyxiwe	247	28	the	the	DT
cord-258235-khdyxiwe	247	29	predictions	prediction	NNS
cord-258235-khdyxiwe	247	30	,	,	,
cord-258235-khdyxiwe	247	31	just	just	RB
cord-258235-khdyxiwe	247	32	like	like	IN
cord-258235-khdyxiwe	247	33	it	-PRON-	PRP
cord-258235-khdyxiwe	247	34	happens	happen	VBZ
cord-258235-khdyxiwe	247	35	in	in	IN
cord-258235-khdyxiwe	247	36	weather	weather	NN
cord-258235-khdyxiwe	247	37	forecasting	forecasting	NN
cord-258235-khdyxiwe	247	38	.	.	.
cord-258235-khdyxiwe	248	1	2	2	LS
cord-258235-khdyxiwe	248	2	.	.	.
cord-258235-khdyxiwe	249	1	The	the	DT
cord-258235-khdyxiwe	249	2	forecasts	forecast	NNS
cord-258235-khdyxiwe	249	3	mostly	mostly	RB
cord-258235-khdyxiwe	249	4	show	show	VBP
cord-258235-khdyxiwe	249	5	oscillating	oscillating	JJ
cord-258235-khdyxiwe	249	6	behavior	behavior	NN
cord-258235-khdyxiwe	249	7	for	for	IN
cord-258235-khdyxiwe	249	8	the	the	DT
cord-258235-khdyxiwe	249	9	next	next	JJ
cord-258235-khdyxiwe	249	10	10	10	CD
cord-258235-khdyxiwe	249	11	days	day	NNS
cord-258235-khdyxiwe	249	12	and	and	CC
cord-258235-khdyxiwe	249	13	reflect	reflect	VB
cord-258235-khdyxiwe	249	14	the	the	DT
cord-258235-khdyxiwe	249	15	impact	impact	NN
cord-258235-khdyxiwe	249	16	of	of	IN
cord-258235-khdyxiwe	249	17	the	the	DT
cord-258235-khdyxiwe	249	18	broad	broad	JJ
cord-258235-khdyxiwe	249	19	spectrum	spectrum	NN
cord-258235-khdyxiwe	249	20	of	of	IN
cord-258235-khdyxiwe	249	21	social	social	JJ
cord-258235-khdyxiwe	249	22	distancing	distance	VBG
cord-258235-khdyxiwe	249	23	measures	measure	NNS
cord-258235-khdyxiwe	249	24	implemented	implement	VBN
cord-258235-khdyxiwe	249	25	by	by	IN
cord-258235-khdyxiwe	249	26	the	the	DT
cord-258235-khdyxiwe	249	27	governments	government	NNS
cord-258235-khdyxiwe	249	28	,	,	,
cord-258235-khdyxiwe	249	29	which	which	WDT
cord-258235-khdyxiwe	249	30	likely	likely	RB
cord-258235-khdyxiwe	249	31	helped	help	VBD
cord-258235-khdyxiwe	249	32	stabilize	stabilize	VB
cord-258235-khdyxiwe	249	33	the	the	DT
cord-258235-khdyxiwe	249	34	epidemic	epidemic	NN
cord-258235-khdyxiwe	249	35	.	.	.
cord-258235-khdyxiwe	250	1	3	3	LS
cord-258235-khdyxiwe	250	2	.	.	.
cord-258235-khdyxiwe	251	1	The	the	DT
cord-258235-khdyxiwe	251	2	short	short	JJ
cord-258235-khdyxiwe	251	3	-	-	HYPH
cord-258235-khdyxiwe	251	4	term	term	NN
cord-258235-khdyxiwe	251	5	forecasts	forecast	NNS
cord-258235-khdyxiwe	251	6	do	do	VBP
cord-258235-khdyxiwe	251	7	n't	not	RB
cord-258235-khdyxiwe	251	8	necessarily	necessarily	RB
cord-258235-khdyxiwe	251	9	show	show	VB
cord-258235-khdyxiwe	251	10	any	any	DT
cord-258235-khdyxiwe	251	11	stiff	stiff	JJ
cord-258235-khdyxiwe	251	12	decay	decay	NN
cord-258235-khdyxiwe	251	13	sooner	soon	RBR
cord-258235-khdyxiwe	251	14	;	;	:
cord-258235-khdyxiwe	251	15	also	also	RB
cord-258235-khdyxiwe	251	16	,	,	,
cord-258235-khdyxiwe	251	17	these	these	DT
cord-258235-khdyxiwe	251	18	five	five	CD
cord-258235-khdyxiwe	251	19	countries	country	NNS
cord-258235-khdyxiwe	251	20	are	be	VBP
cord-258235-khdyxiwe	251	21	not	not	RB
cord-258235-khdyxiwe	251	22	going	go	VBG
cord-258235-khdyxiwe	251	23	to	to	TO
cord-258235-khdyxiwe	251	24	face	face	VB
cord-258235-khdyxiwe	251	25	any	any	DT
cord-258235-khdyxiwe	251	26	unlike	unlike	JJ
cord-258235-khdyxiwe	251	27	uplifts	uplift	NNS
cord-258235-khdyxiwe	251	28	in	in	IN
cord-258235-khdyxiwe	251	29	the	the	DT
cord-258235-khdyxiwe	251	30	number	number	NN
cord-258235-khdyxiwe	251	31	of	of	IN
cord-258235-khdyxiwe	251	32	cases	case	NNS
cord-258235-khdyxiwe	251	33	too	too	RB
cord-258235-khdyxiwe	251	34	.	.	.
cord-258235-khdyxiwe	252	1	4	4	LS
cord-258235-khdyxiwe	252	2	.	.	.
cord-258235-khdyxiwe	253	1	Guided	guide	VBN
cord-258235-khdyxiwe	253	2	by	by	IN
cord-258235-khdyxiwe	253	3	the	the	DT
cord-258235-khdyxiwe	253	4	short	short	JJ
cord-258235-khdyxiwe	253	5	-	-	HYPH
cord-258235-khdyxiwe	253	6	term	term	NN
cord-258235-khdyxiwe	253	7	forecasts	forecast	NNS
cord-258235-khdyxiwe	253	8	reported	report	VBN
cord-258235-khdyxiwe	253	9	in	in	IN
cord-258235-khdyxiwe	253	10	this	this	DT
cord-258235-khdyxiwe	253	11	paper	paper	NN
cord-258235-khdyxiwe	253	12	,	,	,
cord-258235-khdyxiwe	253	13	the	the	DT
cord-258235-khdyxiwe	253	14	lockdown	lockdown	NN
cord-258235-khdyxiwe	253	15	period	period	NN
cord-258235-khdyxiwe	253	16	can	can	MD
cord-258235-khdyxiwe	253	17	be	be	VB
cord-258235-khdyxiwe	253	18	adjusted	adjust	VBN
cord-258235-khdyxiwe	253	19	accordingly	accordingly	RB
cord-258235-khdyxiwe	253	20	.	.	.
cord-258235-khdyxiwe	254	1	Secondly	secondly	RB
cord-258235-khdyxiwe	254	2	,	,	,
cord-258235-khdyxiwe	254	3	we	-PRON-	PRP
cord-258235-khdyxiwe	254	4	assessed	assess	VBD
cord-258235-khdyxiwe	254	5	the	the	DT
cord-258235-khdyxiwe	254	6	risk	risk	NN
cord-258235-khdyxiwe	254	7	of	of	IN
cord-258235-khdyxiwe	254	8	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	254	9	by	by	IN
cord-258235-khdyxiwe	254	10	finding	find	VBG
cord-258235-khdyxiwe	254	11	seven	seven	CD
cord-258235-khdyxiwe	254	12	key	key	JJ
cord-258235-khdyxiwe	254	13	parameters	parameter	NNS
cord-258235-khdyxiwe	254	14	that	that	WDT
cord-258235-khdyxiwe	254	15	are	be	VBP
cord-258235-khdyxiwe	254	16	expected	expect	VBN
cord-258235-khdyxiwe	254	17	to	to	TO
cord-258235-khdyxiwe	254	18	have	have	VB
cord-258235-khdyxiwe	254	19	powerful	powerful	JJ
cord-258235-khdyxiwe	254	20	associations	association	NNS
cord-258235-khdyxiwe	254	21	with	with	IN
cord-258235-khdyxiwe	254	22	that	that	DT
cord-258235-khdyxiwe	254	23	of	of	IN
cord-258235-khdyxiwe	254	24	case	case	NN
cord-258235-khdyxiwe	254	25	fatality	fatality	NN
cord-258235-khdyxiwe	254	26	rates	rate	NNS
cord-258235-khdyxiwe	254	27	.	.	.
cord-258235-khdyxiwe	255	1	This	this	DT
cord-258235-khdyxiwe	255	2	is	be	VBZ
cord-258235-khdyxiwe	255	3	done	do	VBN
cord-258235-khdyxiwe	255	4	by	by	IN
cord-258235-khdyxiwe	255	5	designing	design	VBG
cord-258235-khdyxiwe	255	6	an	an	DT
cord-258235-khdyxiwe	255	7	optimal	optimal	JJ
cord-258235-khdyxiwe	255	8	regression	regression	NN
cord-258235-khdyxiwe	255	9	tree	tree	NN
cord-258235-khdyxiwe	255	10	model	model	NN
cord-258235-khdyxiwe	255	11	,	,	,
cord-258235-khdyxiwe	255	12	a	a	DT
cord-258235-khdyxiwe	255	13	simplified	simplify	VBN
cord-258235-khdyxiwe	255	14	machine	machine	NN
cord-258235-khdyxiwe	255	15	learning	learning	NN
cord-258235-khdyxiwe	255	16	approach	approach	NN
cord-258235-khdyxiwe	255	17	.	.	.
cord-258235-khdyxiwe	256	1	The	the	DT
cord-258235-khdyxiwe	256	2	model	model	NN
cord-258235-khdyxiwe	256	3	is	be	VBZ
cord-258235-khdyxiwe	256	4	very	very	RB
cord-258235-khdyxiwe	256	5	flexible	flexible	JJ
cord-258235-khdyxiwe	256	6	,	,	,
cord-258235-khdyxiwe	256	7	easily	easily	RB
cord-258235-khdyxiwe	256	8	interpretable	interpretable	JJ
cord-258235-khdyxiwe	256	9	,	,	,
cord-258235-khdyxiwe	256	10	and	and	CC
cord-258235-khdyxiwe	256	11	the	the	DT
cord-258235-khdyxiwe	256	12	more	more	JJR
cord-258235-khdyxiwe	256	13	data	datum	NNS
cord-258235-khdyxiwe	256	14	will	will	MD
cord-258235-khdyxiwe	256	15	come	come	VB
cord-258235-khdyxiwe	256	16	,	,	,
cord-258235-khdyxiwe	256	17	one	one	PRP
cord-258235-khdyxiwe	256	18	can	can	MD
cord-258235-khdyxiwe	256	19	just	just	RB
cord-258235-khdyxiwe	256	20	incorporate	incorporate	VB
cord-258235-khdyxiwe	256	21	the	the	DT
cord-258235-khdyxiwe	256	22	new	new	JJ
cord-258235-khdyxiwe	256	23	data	data	NN
cord-258235-khdyxiwe	256	24	sets	set	NNS
cord-258235-khdyxiwe	256	25	and	and	CC
cord-258235-khdyxiwe	256	26	rebuild	rebuild	VB
cord-258235-khdyxiwe	256	27	the	the	DT
cord-258235-khdyxiwe	256	28	trees	tree	NNS
cord-258235-khdyxiwe	256	29	to	to	TO
cord-258235-khdyxiwe	256	30	get	get	VB
cord-258235-khdyxiwe	256	31	the	the	DT
cord-258235-khdyxiwe	256	32	updated	update	VBN
cord-258235-khdyxiwe	256	33	estimates	estimate	NNS
cord-258235-khdyxiwe	256	34	.	.	.
cord-258235-khdyxiwe	257	1	RT	RT	NNP
cord-258235-khdyxiwe	257	2	provides	provide	VBZ
cord-258235-khdyxiwe	257	3	a	a	DT
cord-258235-khdyxiwe	257	4	better	well	JJR
cord-258235-khdyxiwe	257	5	visual	visual	JJ
cord-258235-khdyxiwe	257	6	representation	representation	NN
cord-258235-khdyxiwe	257	7	and	and	CC
cord-258235-khdyxiwe	257	8	is	be	VBZ
cord-258235-khdyxiwe	257	9	easily	easily	RB
cord-258235-khdyxiwe	257	10	interpretable	interpretable	JJ
cord-258235-khdyxiwe	257	11	to	to	TO
cord-258235-khdyxiwe	257	12	be	be	VB
cord-258235-khdyxiwe	257	13	understood	understand	VBN
cord-258235-khdyxiwe	257	14	by	by	IN
cord-258235-khdyxiwe	257	15	a	a	DT
cord-258235-khdyxiwe	257	16	broader	broad	JJR
cord-258235-khdyxiwe	257	17	audience	audience	NN
cord-258235-khdyxiwe	257	18	.	.	.
cord-258235-khdyxiwe	258	1	Quantification	quantification	NN
cord-258235-khdyxiwe	258	2	of	of	IN
cord-258235-khdyxiwe	258	3	the	the	DT
cord-258235-khdyxiwe	258	4	outbreak	outbreak	NN
cord-258235-khdyxiwe	258	5	risks	risk	NNS
cord-258235-khdyxiwe	258	6	and	and	CC
cord-258235-khdyxiwe	258	7	their	-PRON-	PRP$
cord-258235-khdyxiwe	258	8	dependencies	dependency	NNS
cord-258235-khdyxiwe	258	9	on	on	IN
cord-258235-khdyxiwe	258	10	the	the	DT
cord-258235-khdyxiwe	258	11	key	key	JJ
cord-258235-khdyxiwe	258	12	parameters	parameter	NNS
cord-258235-khdyxiwe	258	13	will	will	MD
cord-258235-khdyxiwe	258	14	support	support	VB
cord-258235-khdyxiwe	258	15	the	the	DT
cord-258235-khdyxiwe	258	16	governments	government	NNS
cord-258235-khdyxiwe	258	17	and	and	CC
cord-258235-khdyxiwe	258	18	policymakers	policymaker	NNS
cord-258235-khdyxiwe	258	19	for	for	IN
cord-258235-khdyxiwe	258	20	the	the	DT
cord-258235-khdyxiwe	258	21	planning	planning	NN
cord-258235-khdyxiwe	258	22	of	of	IN
cord-258235-khdyxiwe	258	23	health	health	NN
cord-258235-khdyxiwe	258	24	care	care	NN
cord-258235-khdyxiwe	258	25	systems	system	NNS
cord-258235-khdyxiwe	258	26	in	in	IN
cord-258235-khdyxiwe	258	27	different	different	JJ
cord-258235-khdyxiwe	258	28	countries	country	NNS
cord-258235-khdyxiwe	258	29	that	that	WDT
cord-258235-khdyxiwe	258	30	faced	face	VBD
cord-258235-khdyxiwe	258	31	this	this	DT
cord-258235-khdyxiwe	258	32	epidemic	epidemic	NN
cord-258235-khdyxiwe	258	33	.	.	.
cord-258235-khdyxiwe	259	1	Experimental	experimental	JJ
cord-258235-khdyxiwe	259	2	results	result	NNS
cord-258235-khdyxiwe	259	3	suggest	suggest	VBP
cord-258235-khdyxiwe	259	4	four	four	CD
cord-258235-khdyxiwe	259	5	control	control	NN
cord-258235-khdyxiwe	259	6	variables	variable	NNS
cord-258235-khdyxiwe	259	7	out	out	IN
cord-258235-khdyxiwe	259	8	of	of	IN
cord-258235-khdyxiwe	259	9	seven	seven	CD
cord-258235-khdyxiwe	259	10	highly	highly	RB
cord-258235-khdyxiwe	259	11	influential	influential	JJ
cord-258235-khdyxiwe	259	12	variables	variable	NNS
cord-258235-khdyxiwe	259	13	that	that	WDT
cord-258235-khdyxiwe	259	14	will	will	MD
cord-258235-khdyxiwe	259	15	have	have	VB
cord-258235-khdyxiwe	259	16	a	a	DT
cord-258235-khdyxiwe	259	17	significant	significant	JJ
cord-258235-khdyxiwe	259	18	impact	impact	NN
cord-258235-khdyxiwe	259	19	on	on	IN
cord-258235-khdyxiwe	259	20	controlling	control	VBG
cord-258235-khdyxiwe	259	21	CFR	CFR	NNP
cord-258235-khdyxiwe	259	22	.	.	.
cord-258235-khdyxiwe	260	1	Below	below	IN
cord-258235-khdyxiwe	260	2	we	-PRON-	PRP
cord-258235-khdyxiwe	260	3	present	present	VBP
cord-258235-khdyxiwe	260	4	a	a	DT
cord-258235-khdyxiwe	260	5	point	point	NN
cord-258235-khdyxiwe	260	6	by	by	IN
cord-258235-khdyxiwe	260	7	point	point	NN
cord-258235-khdyxiwe	260	8	discussion	discussion	NN
cord-258235-khdyxiwe	260	9	of	of	IN
cord-258235-khdyxiwe	260	10	the	the	DT
cord-258235-khdyxiwe	260	11	control	control	NN
cord-258235-khdyxiwe	260	12	variables	variable	NNS
cord-258235-khdyxiwe	260	13	affecting	affect	VBG
cord-258235-khdyxiwe	260	14	CFR	CFR	NNP
cord-258235-khdyxiwe	260	15	and	and	CC
cord-258235-khdyxiwe	260	16	preventive	preventive	JJ
cord-258235-khdyxiwe	260	17	actions	action	NNS
cord-258235-khdyxiwe	260	18	to	to	TO
cord-258235-khdyxiwe	260	19	be	be	VB
cord-258235-khdyxiwe	260	20	taken	take	VBN
cord-258235-khdyxiwe	260	21	by	by	IN
cord-258235-khdyxiwe	260	22	the	the	DT
cord-258235-khdyxiwe	260	23	governments	government	NNS
cord-258235-khdyxiwe	260	24	.	.	.
cord-258235-khdyxiwe	261	1	1	1	LS
cord-258235-khdyxiwe	261	2	.	.	.
cord-258235-khdyxiwe	262	1	The	the	DT
cord-258235-khdyxiwe	262	2	number	number	NN
cord-258235-khdyxiwe	262	3	of	of	IN
cord-258235-khdyxiwe	262	4	covid	covid	JJ
cord-258235-khdyxiwe	262	5	cases	case	NNS
cord-258235-khdyxiwe	262	6	of	of	IN
cord-258235-khdyxiwe	262	7	the	the	DT
cord-258235-khdyxiwe	262	8	country	country	NN
cord-258235-khdyxiwe	262	9	can	can	MD
cord-258235-khdyxiwe	262	10	be	be	VB
cord-258235-khdyxiwe	262	11	reduced	reduce	VBN
cord-258235-khdyxiwe	262	12	by	by	IN
cord-258235-khdyxiwe	262	13	enforcing	enforce	VBG
cord-258235-khdyxiwe	262	14	social	social	JJ
cord-258235-khdyxiwe	262	15	distancing	distance	VBG
cord-258235-khdyxiwe	262	16	strategies	strategy	NNS
cord-258235-khdyxiwe	262	17	.	.	.
cord-258235-khdyxiwe	263	1	2	2	LS
cord-258235-khdyxiwe	263	2	.	.	.
cord-258235-khdyxiwe	264	1	Number	number	NN
cord-258235-khdyxiwe	264	2	of	of	IN
cord-258235-khdyxiwe	264	3	people	people	NNS
cord-258235-khdyxiwe	264	4	of	of	IN
cord-258235-khdyxiwe	264	5	age	age	NN
cord-258235-khdyxiwe	264	6	group	group	NN
cord-258235-khdyxiwe	264	7	>	>	XX
cord-258235-khdyxiwe	264	8	65	65	CD
cord-258235-khdyxiwe	264	9	years	year	NNS
cord-258235-khdyxiwe	264	10	should	should	MD
cord-258235-khdyxiwe	264	11	be	be	VB
cord-258235-khdyxiwe	264	12	specially	specially	RB
cord-258235-khdyxiwe	264	13	taken	take	VBN
cord-258235-khdyxiwe	264	14	care	care	NN
cord-258235-khdyxiwe	264	15	of	of	IN
cord-258235-khdyxiwe	264	16	and	and	CC
cord-258235-khdyxiwe	264	17	isolated	isolate	VBN
cord-258235-khdyxiwe	264	18	.	.	.
cord-258235-khdyxiwe	265	1	3	3	LS
cord-258235-khdyxiwe	265	2	.	.	.
cord-258235-khdyxiwe	266	1	Lockdown	lockdown	NN
cord-258235-khdyxiwe	266	2	time	time	NN
cord-258235-khdyxiwe	266	3	period	period	NN
cord-258235-khdyxiwe	266	4	can	can	MD
cord-258235-khdyxiwe	266	5	be	be	VB
cord-258235-khdyxiwe	266	6	extended	extend	VBN
cord-258235-khdyxiwe	266	7	if	if	IN
cord-258235-khdyxiwe	266	8	the	the	DT
cord-258235-khdyxiwe	266	9	country	country	NN
cord-258235-khdyxiwe	266	10	faces	face	VBZ
cord-258235-khdyxiwe	266	11	a	a	DT
cord-258235-khdyxiwe	266	12	sharp	sharp	JJ
cord-258235-khdyxiwe	266	13	increase	increase	NN
cord-258235-khdyxiwe	266	14	in	in	IN
cord-258235-khdyxiwe	266	15	the	the	DT
cord-258235-khdyxiwe	266	16	number	number	NN
cord-258235-khdyxiwe	266	17	of	of	IN
cord-258235-khdyxiwe	266	18	cases	case	NNS
cord-258235-khdyxiwe	266	19	and	and	CC
cord-258235-khdyxiwe	266	20	or	or	CC
cord-258235-khdyxiwe	266	21	deaths	death	NNS
cord-258235-khdyxiwe	266	22	.	.	.
cord-258235-khdyxiwe	267	1	4	4	LS
cord-258235-khdyxiwe	267	2	.	.	.
cord-258235-khdyxiwe	268	1	The	the	DT
cord-258235-khdyxiwe	268	2	number	number	NN
cord-258235-khdyxiwe	268	3	of	of	IN
cord-258235-khdyxiwe	268	4	hospital	hospital	NN
cord-258235-khdyxiwe	268	5	beds	bed	NNS
cord-258235-khdyxiwe	268	6	should	should	MD
cord-258235-khdyxiwe	268	7	be	be	VB
cord-258235-khdyxiwe	268	8	increased	increase	VBN
cord-258235-khdyxiwe	268	9	by	by	IN
cord-258235-khdyxiwe	268	10	making	make	VBG
cord-258235-khdyxiwe	268	11	special	special	JJ
cord-258235-khdyxiwe	268	12	health	health	NN
cord-258235-khdyxiwe	268	13	care	care	NN
cord-258235-khdyxiwe	268	14	arrangements	arrangement	NNS
cord-258235-khdyxiwe	268	15	in	in	IN
cord-258235-khdyxiwe	268	16	other	other	JJ
cord-258235-khdyxiwe	268	17	places	place	NNS
cord-258235-khdyxiwe	268	18	to	to	TO
cord-258235-khdyxiwe	268	19	deal	deal	VB
cord-258235-khdyxiwe	268	20	with	with	IN
cord-258235-khdyxiwe	268	21	this	this	DT
cord-258235-khdyxiwe	268	22	emergency	emergency	NN
cord-258235-khdyxiwe	268	23	due	due	IN
cord-258235-khdyxiwe	268	24	to	to	IN
cord-258235-khdyxiwe	268	25	COVID-19	COVID-19	NNP
cord-258235-khdyxiwe	268	26	.	.	.
cord-258235-khdyxiwe	269	1	Forecasting	forecasting	NN
cord-258235-khdyxiwe	269	2	nonlinear	nonlinear	JJ
cord-258235-khdyxiwe	269	3	time	time	NN
cord-258235-khdyxiwe	269	4	series	series	NN
cord-258235-khdyxiwe	269	5	with	with	IN
cord-258235-khdyxiwe	269	6	a	a	DT
cord-258235-khdyxiwe	269	7	hybrid	hybrid	JJ
cord-258235-khdyxiwe	269	8	methodology	methodology	NN
cord-258235-khdyxiwe	269	9	Forecasting	Forecasting	NNP
cord-258235-khdyxiwe	269	10	time	time	NN
cord-258235-khdyxiwe	269	11	series	series	NN
cord-258235-khdyxiwe	269	12	using	use	VBG
cord-258235-khdyxiwe	269	13	wavelets	wavelets	NNPS
cord-258235-khdyxiwe	269	14	Wavelet	Wavelet	NNP
cord-258235-khdyxiwe	269	15	-	-	HYPH
cord-258235-khdyxiwe	269	16	based	base	VBN
cord-258235-khdyxiwe	269	17	nonlinear	nonlinear	JJ
cord-258235-khdyxiwe	269	18	multiscale	multiscale	JJ
cord-258235-khdyxiwe	269	19	decomposition	decomposition	NN
cord-258235-khdyxiwe	269	20	model	model	NN
cord-258235-khdyxiwe	269	21	for	for	IN
cord-258235-khdyxiwe	269	22	electricity	electricity	NN
cord-258235-khdyxiwe	269	23	load	load	NN
cord-258235-khdyxiwe	269	24	forecasting	forecasting	NN
cord-258235-khdyxiwe	269	25	Modeling	modeling	NN
cord-258235-khdyxiwe	269	26	and	and	CC
cord-258235-khdyxiwe	269	27	forecasting	forecasting	NN
cord-258235-khdyxiwe	269	28	of	of	IN
cord-258235-khdyxiwe	269	29	epidemic	epidemic	NN
cord-258235-khdyxiwe	269	30	spreading	spreading	NN
cord-258235-khdyxiwe	269	31	:	:	:
cord-258235-khdyxiwe	269	32	The	the	DT
cord-258235-khdyxiwe	269	33	case	case	NN
cord-258235-khdyxiwe	269	34	of	of	IN
cord-258235-khdyxiwe	269	35	covid-19	covid-19	NN
cord-258235-khdyxiwe	269	36	and	and	CC
cord-258235-khdyxiwe	269	37	beyond	beyond	IN
cord-258235-khdyxiwe	269	38	Risk	Risk	NNP
cord-258235-khdyxiwe	269	39	assessment	assessment	NN
cord-258235-khdyxiwe	269	40	of	of	IN
cord-258235-khdyxiwe	269	41	novel	novel	JJ
cord-258235-khdyxiwe	269	42	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	269	43	covid-19	covid-19	CD
cord-258235-khdyxiwe	269	44	outbreaks	outbreak	NNS
cord-258235-khdyxiwe	269	45	outside	outside	IN
cord-258235-khdyxiwe	269	46	china	china	NNP
cord-258235-khdyxiwe	269	47	Time	Time	NNP
cord-258235-khdyxiwe	269	48	series	series	NNP
cord-258235-khdyxiwe	269	49	analysis	analysis	NN
cord-258235-khdyxiwe	269	50	:	:	:
cord-258235-khdyxiwe	269	51	forecasting	forecasting	NN
cord-258235-khdyxiwe	269	52	and	and	CC
cord-258235-khdyxiwe	269	53	control	control	NN
cord-258235-khdyxiwe	269	54	Classification	classification	NN
cord-258235-khdyxiwe	269	55	and	and	CC
cord-258235-khdyxiwe	269	56	regression	regression	NN
cord-258235-khdyxiwe	269	57	trees	tree	NNS
cord-258235-khdyxiwe	269	58	Forecasting	forecast	VBG
cord-258235-khdyxiwe	269	59	dengue	dengue	NN
cord-258235-khdyxiwe	269	60	epidemics	epidemic	NNS
cord-258235-khdyxiwe	269	61	using	use	VBG
cord-258235-khdyxiwe	269	62	a	a	DT
cord-258235-khdyxiwe	269	63	hybrid	hybrid	JJ
cord-258235-khdyxiwe	269	64	methodology	methodology	NN
cord-258235-khdyxiwe	270	1	The	the	DT
cord-258235-khdyxiwe	270	2	analysis	analysis	NN
cord-258235-khdyxiwe	270	3	of	of	IN
cord-258235-khdyxiwe	270	4	time	time	NNP
cord-258235-khdyxiwe	270	5	series	series	NNP
cord-258235-khdyxiwe	270	6	:	:	:
cord-258235-khdyxiwe	270	7	an	an	DT
cord-258235-khdyxiwe	270	8	introduction	introduction	NN
cord-258235-khdyxiwe	270	9	Analysis	analysis	NN
cord-258235-khdyxiwe	270	10	and	and	CC
cord-258235-khdyxiwe	270	11	forecast	forecast	NN
cord-258235-khdyxiwe	270	12	of	of	IN
cord-258235-khdyxiwe	270	13	covid-19	covid-19	NNP
cord-258235-khdyxiwe	270	14	spreading	spreading	NN
cord-258235-khdyxiwe	270	15	in	in	IN
cord-258235-khdyxiwe	270	16	china	china	NNP
cord-258235-khdyxiwe	270	17	,	,	,
cord-258235-khdyxiwe	270	18	italy	italy	NNP
cord-258235-khdyxiwe	270	19	and	and	CC
cord-258235-khdyxiwe	270	20	france	france	NNP
cord-258235-khdyxiwe	271	1	A	a	DT
cord-258235-khdyxiwe	271	2	wavelet	wavelet	JJ
cord-258235-khdyxiwe	271	3	transfer	transfer	NN
cord-258235-khdyxiwe	271	4	model	model	NN
cord-258235-khdyxiwe	271	5	for	for	IN
cord-258235-khdyxiwe	271	6	time	time	NN
cord-258235-khdyxiwe	271	7	series	series	NNP
cord-258235-khdyxiwe	271	8	forecasting	forecasting	NN
cord-258235-khdyxiwe	271	9	Correcting	correct	VBG
cord-258235-khdyxiwe	271	10	and	and	CC
cord-258235-khdyxiwe	271	11	combining	combine	VBG
cord-258235-khdyxiwe	271	12	time	time	NN
cord-258235-khdyxiwe	271	13	series	series	NN
cord-258235-khdyxiwe	271	14	forecasters	forecaster	NNS
cord-258235-khdyxiwe	271	15	Clinical	clinical	JJ
cord-258235-khdyxiwe	271	16	characteristics	characteristic	NNS
cord-258235-khdyxiwe	271	17	of	of	IN
cord-258235-khdyxiwe	271	18	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	271	19	disease	disease	NN
cord-258235-khdyxiwe	271	20	2019	2019	CD
cord-258235-khdyxiwe	271	21	in	in	IN
cord-258235-khdyxiwe	271	22	china	china	NNP
cord-258235-khdyxiwe	272	1	The	the	DT
cord-258235-khdyxiwe	272	2	elements	element	NNS
cord-258235-khdyxiwe	272	3	of	of	IN
cord-258235-khdyxiwe	272	4	statistical	statistical	JJ
cord-258235-khdyxiwe	272	5	learning	learning	NN
cord-258235-khdyxiwe	272	6	:	:	:
cord-258235-khdyxiwe	272	7	data	datum	NNS
cord-258235-khdyxiwe	272	8	mining	mining	NN
cord-258235-khdyxiwe	272	9	,	,	,
cord-258235-khdyxiwe	272	10	inference	inference	NN
cord-258235-khdyxiwe	272	11	,	,	,
cord-258235-khdyxiwe	272	12	and	and	CC
cord-258235-khdyxiwe	272	13	prediction	prediction	NN
cord-258235-khdyxiwe	272	14	Forecasting	forecasting	NN
cord-258235-khdyxiwe	272	15	:	:	:
cord-258235-khdyxiwe	272	16	principles	principle	NNS
cord-258235-khdyxiwe	272	17	and	and	CC
cord-258235-khdyxiwe	272	18	practice	practice	NN
cord-258235-khdyxiwe	272	19	.	.	.
cord-258235-khdyxiwe	273	1	OTexts	OTexts	NNP
cord-258235-khdyxiwe	274	1	An	an	DT
cord-258235-khdyxiwe	274	2	introduction	introduction	NN
cord-258235-khdyxiwe	274	3	to	to	IN
cord-258235-khdyxiwe	274	4	statistical	statistical	JJ
cord-258235-khdyxiwe	274	5	learning	learn	VBG
cord-258235-khdyxiwe	274	6	Real	real	JJ
cord-258235-khdyxiwe	274	7	-	-	HYPH
cord-258235-khdyxiwe	274	8	time	time	NN
cord-258235-khdyxiwe	274	9	estimation	estimation	NN
cord-258235-khdyxiwe	274	10	of	of	IN
cord-258235-khdyxiwe	274	11	the	the	DT
cord-258235-khdyxiwe	274	12	risk	risk	NN
cord-258235-khdyxiwe	274	13	of	of	IN
cord-258235-khdyxiwe	274	14	death	death	NN
cord-258235-khdyxiwe	274	15	from	from	IN
cord-258235-khdyxiwe	274	16	novel	novel	JJ
cord-258235-khdyxiwe	274	17	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	274	18	(	(	-LRB-
cord-258235-khdyxiwe	274	19	covid-19	covid-19	NNP
cord-258235-khdyxiwe	274	20	)	)	-RRB-
cord-258235-khdyxiwe	274	21	infection	infection	NN
cord-258235-khdyxiwe	274	22	:	:	:
cord-258235-khdyxiwe	274	23	Inference	inference	NN
cord-258235-khdyxiwe	274	24	using	use	VBG
cord-258235-khdyxiwe	274	25	exported	export	VBN
cord-258235-khdyxiwe	274	26	cases	case	NNS
cord-258235-khdyxiwe	274	27	A	a	DT
cord-258235-khdyxiwe	274	28	comparative	comparative	JJ
cord-258235-khdyxiwe	274	29	study	study	NN
cord-258235-khdyxiwe	274	30	of	of	IN
cord-258235-khdyxiwe	274	31	series	series	NNP
cord-258235-khdyxiwe	274	32	arima	arima	NNP
cord-258235-khdyxiwe	274	33	/	/	SYM
cord-258235-khdyxiwe	274	34	mlp	mlp	NNP
cord-258235-khdyxiwe	274	35	hybrid	hybrid	JJ
cord-258235-khdyxiwe	274	36	models	model	NNS
cord-258235-khdyxiwe	274	37	for	for	IN
cord-258235-khdyxiwe	274	38	stock	stock	NN
cord-258235-khdyxiwe	274	39	price	price	NN
cord-258235-khdyxiwe	274	40	forecasting	forecasting	NN
cord-258235-khdyxiwe	274	41	Early	early	JJ
cord-258235-khdyxiwe	274	42	dynamics	dynamic	NNS
cord-258235-khdyxiwe	274	43	of	of	IN
cord-258235-khdyxiwe	274	44	transmission	transmission	NN
cord-258235-khdyxiwe	274	45	and	and	CC
cord-258235-khdyxiwe	274	46	control	control	NN
cord-258235-khdyxiwe	274	47	of	of	IN
cord-258235-khdyxiwe	274	48	covid-19	covid-19	NNP
cord-258235-khdyxiwe	274	49	:	:	:
cord-258235-khdyxiwe	274	50	a	a	DT
cord-258235-khdyxiwe	274	51	mathematical	mathematical	JJ
cord-258235-khdyxiwe	274	52	modelling	modelling	NN
cord-258235-khdyxiwe	274	53	study	study	NN
cord-258235-khdyxiwe	274	54	.	.	.
cord-258235-khdyxiwe	275	1	The	the	DT
cord-258235-khdyxiwe	275	2	Lancet	Lancet	NNP
cord-258235-khdyxiwe	275	3	Infectious	Infectious	NNP
cord-258235-khdyxiwe	275	4	Diseases	disease	NNS
cord-258235-khdyxiwe	276	1	Early	early	JJ
cord-258235-khdyxiwe	276	2	transmission	transmission	NN
cord-258235-khdyxiwe	276	3	dynamics	dynamic	NNS
cord-258235-khdyxiwe	276	4	in	in	IN
cord-258235-khdyxiwe	276	5	wuhan	wuhan	NNP
cord-258235-khdyxiwe	276	6	,	,	,
cord-258235-khdyxiwe	276	7	china	china	NNP
cord-258235-khdyxiwe	276	8	,	,	,
cord-258235-khdyxiwe	276	9	of	of	IN
cord-258235-khdyxiwe	276	10	novel	novel	JJ
cord-258235-khdyxiwe	276	11	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	276	12	-	-	HYPH
cord-258235-khdyxiwe	276	13	infected	infect	VBN
cord-258235-khdyxiwe	276	14	pneumonia	pneumonia	NN
cord-258235-khdyxiwe	276	15	Serial	serial	JJ
cord-258235-khdyxiwe	276	16	interval	interval	NN
cord-258235-khdyxiwe	276	17	of	of	IN
cord-258235-khdyxiwe	276	18	novel	novel	JJ
cord-258235-khdyxiwe	276	19	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	276	20	(	(	-LRB-
cord-258235-khdyxiwe	276	21	covid-19	covid-19	NNP
cord-258235-khdyxiwe	276	22	)	)	-RRB-
cord-258235-khdyxiwe	276	23	infections	infection	NNS
cord-258235-khdyxiwe	276	24	.	.	.
cord-258235-khdyxiwe	277	1	International	international	JJ
cord-258235-khdyxiwe	277	2	journal	journal	NN
cord-258235-khdyxiwe	277	3	of	of	IN
cord-258235-khdyxiwe	277	4	infectious	infectious	JJ
cord-258235-khdyxiwe	277	5	diseases	disease	NNS
cord-258235-khdyxiwe	278	1	Comparative	comparative	JJ
cord-258235-khdyxiwe	278	2	study	study	NN
cord-258235-khdyxiwe	278	3	of	of	IN
cord-258235-khdyxiwe	278	4	wavelet	wavelet	NN
cord-258235-khdyxiwe	278	5	-	-	HYPH
cord-258235-khdyxiwe	278	6	arima	arima	JJ
cord-258235-khdyxiwe	278	7	and	and	CC
cord-258235-khdyxiwe	278	8	wavelet	wavelet	NNP
cord-258235-khdyxiwe	278	9	-	-	HYPH
cord-258235-khdyxiwe	278	10	ann	ann	NNP
cord-258235-khdyxiwe	278	11	models	model	NNS
cord-258235-khdyxiwe	278	12	for	for	IN
cord-258235-khdyxiwe	278	13	temperature	temperature	NN
cord-258235-khdyxiwe	278	14	time	time	NN
cord-258235-khdyxiwe	278	15	series	series	NNP
cord-258235-khdyxiwe	278	16	data	datum	NNS
cord-258235-khdyxiwe	278	17	in	in	IN
cord-258235-khdyxiwe	278	18	northeastern	northeastern	JJ
cord-258235-khdyxiwe	278	19	bangladesh	bangladesh	NNP
cord-258235-khdyxiwe	278	20	Ensembles	Ensembles	NNP
cord-258235-khdyxiwe	278	21	for	for	IN
cord-258235-khdyxiwe	278	22	time	time	NN
cord-258235-khdyxiwe	278	23	series	series	NNP
cord-258235-khdyxiwe	278	24	forecasting	forecast	VBG
cord-258235-khdyxiwe	278	25	A	a	DT
cord-258235-khdyxiwe	278	26	hybrid	hybrid	JJ
cord-258235-khdyxiwe	278	27	arima	arima	NN
cord-258235-khdyxiwe	278	28	-	-	HYPH
cord-258235-khdyxiwe	278	29	svm	svm	NNP
cord-258235-khdyxiwe	278	30	model	model	NN
cord-258235-khdyxiwe	278	31	for	for	IN
cord-258235-khdyxiwe	278	32	the	the	DT
cord-258235-khdyxiwe	278	33	study	study	NN
cord-258235-khdyxiwe	278	34	of	of	IN
cord-258235-khdyxiwe	278	35	the	the	DT
cord-258235-khdyxiwe	278	36	remaining	remain	VBG
cord-258235-khdyxiwe	278	37	useful	useful	JJ
cord-258235-khdyxiwe	278	38	life	life	NN
cord-258235-khdyxiwe	278	39	of	of	IN
cord-258235-khdyxiwe	278	40	aircraft	aircraft	NN
cord-258235-khdyxiwe	278	41	engines	engine	NNS
cord-258235-khdyxiwe	278	42	Wavelet	wavelet	VBP
cord-258235-khdyxiwe	278	43	methods	method	NNS
cord-258235-khdyxiwe	278	44	for	for	IN
cord-258235-khdyxiwe	278	45	time	time	NN
cord-258235-khdyxiwe	278	46	series	series	NNP
cord-258235-khdyxiwe	278	47	analysis	analysis	NN
cord-258235-khdyxiwe	278	48	Forecasting	forecast	VBG
cord-258235-khdyxiwe	278	49	the	the	DT
cord-258235-khdyxiwe	278	50	novel	novel	JJ
cord-258235-khdyxiwe	278	51	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	279	1	covid-19	covid-19	NNP
cord-258235-khdyxiwe	279	2	Real	real	JJ
cord-258235-khdyxiwe	279	3	-	-	HYPH
cord-258235-khdyxiwe	279	4	time	time	NN
cord-258235-khdyxiwe	279	5	forecasts	forecast	NNS
cord-258235-khdyxiwe	279	6	of	of	IN
cord-258235-khdyxiwe	279	7	the	the	DT
cord-258235-khdyxiwe	279	8	covid-19	covid-19	JJ
cord-258235-khdyxiwe	279	9	epidemic	epidemic	NN
cord-258235-khdyxiwe	279	10	in	in	IN
cord-258235-khdyxiwe	279	11	china	china	NNP
cord-258235-khdyxiwe	279	12	from	from	IN
cord-258235-khdyxiwe	279	13	february	february	NNP
cord-258235-khdyxiwe	279	14	5th	5th	NN
cord-258235-khdyxiwe	279	15	to	to	IN
cord-258235-khdyxiwe	279	16	february	february	NNP
cord-258235-khdyxiwe	279	17	24th	24th	NN
cord-258235-khdyxiwe	279	18	CM	CM	NNP
cord-258235-khdyxiwe	279	19	-	-	HYPH
cord-258235-khdyxiwe	279	20	MID	MID	NNP
cord-258235-khdyxiwe	279	21	nCov	nCov	NNP
cord-258235-khdyxiwe	279	22	working	work	VBG
cord-258235-khdyxiwe	279	23	group	group	NN
cord-258235-khdyxiwe	279	24	,	,	,
cord-258235-khdyxiwe	279	25	et	et	NNP
cord-258235-khdyxiwe	279	26	al	al	NNP
cord-258235-khdyxiwe	279	27	.	.	.
cord-258235-khdyxiwe	280	1	Estimating	estimate	VBG
cord-258235-khdyxiwe	280	2	the	the	DT
cord-258235-khdyxiwe	280	3	infection	infection	NN
cord-258235-khdyxiwe	280	4	and	and	CC
cord-258235-khdyxiwe	280	5	case	case	NN
cord-258235-khdyxiwe	280	6	fatality	fatality	NN
cord-258235-khdyxiwe	280	7	ratio	ratio	NN
cord-258235-khdyxiwe	280	8	for	for	IN
cord-258235-khdyxiwe	280	9	covid-19	covid-19	NN
cord-258235-khdyxiwe	280	10	using	use	VBG
cord-258235-khdyxiwe	280	11	age	age	NN
cord-258235-khdyxiwe	280	12	-	-	HYPH
cord-258235-khdyxiwe	280	13	adjusted	adjust	VBN
cord-258235-khdyxiwe	280	14	data	datum	NNS
cord-258235-khdyxiwe	280	15	from	from	IN
cord-258235-khdyxiwe	280	16	the	the	DT
cord-258235-khdyxiwe	280	17	outbreak	outbreak	NN
cord-258235-khdyxiwe	280	18	on	on	IN
cord-258235-khdyxiwe	280	19	the	the	DT
cord-258235-khdyxiwe	280	20	diamond	diamond	NN
cord-258235-khdyxiwe	280	21	princess	princess	NN
cord-258235-khdyxiwe	280	22	cruise	cruise	NN
cord-258235-khdyxiwe	280	23	ship	ship	NN
cord-258235-khdyxiwe	280	24	.	.	.
cord-258235-khdyxiwe	281	1	medRxiv	medRxiv	NNP
cord-258235-khdyxiwe	281	2	Package	Package	NNP
cord-258235-khdyxiwe	281	3	'	'	``
cord-258235-khdyxiwe	281	4	rpart	rpart	NN
cord-258235-khdyxiwe	281	5	'	'	''
cord-258235-khdyxiwe	281	6	.	.	.
cord-258235-khdyxiwe	282	1	Available	available	JJ
cord-258235-khdyxiwe	282	2	online	online	RB
cord-258235-khdyxiwe	282	3	:	:	:
cord-258235-khdyxiwe	282	4	cran	cran	NNP
cord-258235-khdyxiwe	283	1	A	a	DT
cord-258235-khdyxiwe	283	2	novel	novel	JJ
cord-258235-khdyxiwe	283	3	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	283	4	outbreak	outbreak	NN
cord-258235-khdyxiwe	283	5	of	of	IN
cord-258235-khdyxiwe	283	6	global	global	JJ
cord-258235-khdyxiwe	283	7	health	health	NN
cord-258235-khdyxiwe	283	8	concern	concern	NN
cord-258235-khdyxiwe	283	9	No	no	DT
cord-258235-khdyxiwe	283	10	free	free	JJ
cord-258235-khdyxiwe	283	11	lunch	lunch	NN
cord-258235-khdyxiwe	283	12	theorems	theorem	NNS
cord-258235-khdyxiwe	283	13	for	for	IN
cord-258235-khdyxiwe	283	14	optimization	optimization	NN
cord-258235-khdyxiwe	283	15	Nowcasting	Nowcasting	NNP
cord-258235-khdyxiwe	283	16	and	and	CC
cord-258235-khdyxiwe	283	17	forecasting	forecast	VBG
cord-258235-khdyxiwe	283	18	the	the	DT
cord-258235-khdyxiwe	283	19	potential	potential	JJ
cord-258235-khdyxiwe	283	20	domestic	domestic	JJ
cord-258235-khdyxiwe	283	21	and	and	CC
cord-258235-khdyxiwe	283	22	international	international	JJ
cord-258235-khdyxiwe	283	23	spread	spread	NN
cord-258235-khdyxiwe	283	24	of	of	IN
cord-258235-khdyxiwe	283	25	the	the	DT
cord-258235-khdyxiwe	283	26	2019-ncov	2019-ncov	CD
cord-258235-khdyxiwe	283	27	outbreak	outbreak	NN
cord-258235-khdyxiwe	283	28	originating	originate	VBG
cord-258235-khdyxiwe	283	29	in	in	IN
cord-258235-khdyxiwe	283	30	wuhan	wuhan	NNP
cord-258235-khdyxiwe	283	31	,	,	,
cord-258235-khdyxiwe	283	32	china	china	NNP
cord-258235-khdyxiwe	283	33	:	:	:
cord-258235-khdyxiwe	283	34	a	a	DT
cord-258235-khdyxiwe	283	35	modelling	modelling	NN
cord-258235-khdyxiwe	283	36	study	study	NN
cord-258235-khdyxiwe	283	37	Time	Time	NNP
cord-258235-khdyxiwe	283	38	series	series	NN
cord-258235-khdyxiwe	283	39	forecasting	forecasting	NN
cord-258235-khdyxiwe	283	40	using	use	VBG
cord-258235-khdyxiwe	283	41	a	a	DT
cord-258235-khdyxiwe	283	42	hybrid	hybrid	JJ
cord-258235-khdyxiwe	283	43	arima	arima	NN
cord-258235-khdyxiwe	283	44	and	and	CC
cord-258235-khdyxiwe	283	45	neural	neural	JJ
cord-258235-khdyxiwe	283	46	network	network	NN
cord-258235-khdyxiwe	283	47	model	model	NN
cord-258235-khdyxiwe	284	1	Preliminary	preliminary	JJ
cord-258235-khdyxiwe	284	2	estimation	estimation	NN
cord-258235-khdyxiwe	284	3	of	of	IN
cord-258235-khdyxiwe	284	4	the	the	DT
cord-258235-khdyxiwe	284	5	novel	novel	JJ
cord-258235-khdyxiwe	284	6	coronavirus	coronavirus	NN
cord-258235-khdyxiwe	284	7	disease	disease	NN
cord-258235-khdyxiwe	284	8	(	(	-LRB-
cord-258235-khdyxiwe	284	9	covid-19	covid-19	NNP
cord-258235-khdyxiwe	284	10	)	)	-RRB-
cord-258235-khdyxiwe	284	11	cases	case	NNS
cord-258235-khdyxiwe	284	12	in	in	IN
cord-258235-khdyxiwe	284	13	iran	iran	NNP
cord-258235-khdyxiwe	284	14	:	:	:
cord-258235-khdyxiwe	284	15	a	a	DT
cord-258235-khdyxiwe	284	16	modelling	modelling	NN
cord-258235-khdyxiwe	284	17	analysis	analysis	NN
cord-258235-khdyxiwe	284	18	based	base	VBN
cord-258235-khdyxiwe	284	19	on	on	IN
cord-258235-khdyxiwe	284	20	overseas	overseas	JJ
cord-258235-khdyxiwe	284	21	cases	case	NNS
cord-258235-khdyxiwe	284	22	and	and	CC
cord-258235-khdyxiwe	284	23	air	air	NN
cord-258235-khdyxiwe	284	24	travel	travel	NN
cord-258235-khdyxiwe	284	25	data	datum	NNS