noun/verb

This is a table of noun/verb combinations and their frequencies from sentences in your study carrel. Use it to search & browse the list to learn more about your study carrel.

noun	verb	frequency
it	is	342
we	have	237
model	is	131
epidemic	model	101
our	model	74
we	consider	61
we	obtain	56
epidemic	spreading	54
we	assume	51
it	has	50
individuals	are	47
they	have	47
they	are	45
we	present	43
parameters	are	42
we	use	40
we	are	37
we	propose	36
models	are	36
cases	is	34
it	was	33
models	have	33
population	is	32
rate	is	32
infection	is	31
it	follows	28
model	was	28
pandemic	is	28
epidemic	models	26
disease	is	25
model	has	25
covid-19	spread	24
model	based	24
disease	spread	23
covid-19	is	23
cases	are	23
system	is	22
virus	is	22
we	see	22
analysis	is	22
values	are	20
we	give	20
epidemic	is	19
control	is	19
data	are	19
we	show	19
transmission	model	18
we	take	17
we	used	17
covid-19	has	17
countries	are	17
time	is	16
we	find	16
model	are	16
order	model	16
epidemic	spread	15
equations	are	15
our	proposed	15
pandemic	has	15
individual	is	14
number	is	14
case	is	13
individuals	is	13
system	has	13
we	found	13
t	is	12
we	confirm	11
we	presented	11
data	was	11
models	were	11
its	spread	11
cases	reported	10
covid-19	model	10
data	is	10
disease	model	10
individuals	become	10
models	is	10
population	are	10
virus	has	10
we	apply	10
we	do	10
individuals	have	9
we	obtained	9
outbreak	is	9
it	does	9
dynamic	model	9
disease	has	9
countries	have	9
cases	were	9
model	using	8
we	considered	8
parameters	is	8
virus	spreads	8
i	is	8
cases	have	8
analysis	are	8
parameters	have	7
we	proposed	7
virus	spread	7
us	consider	7
they	were	7
system	are	7
population	has	7
it	becomes	7
parameter	is	7
it	's	7
equation	is	7
disease	spreading	7
country	is	7
cases	was	7
parameter	estimates	7
individuals	do	6
we	assumed	6
order	models	6
model	predicts	6
model	used	6
equation	model	6
covid-19	using	6
countries	is	6
controls	are	6
data	used	6
rate	has	5
numbers	are	5
parameters	using	5
populations	are	5
r	are	5
virus	was	5
system	given	5
their	model	5
we	applied	5
we	estimated	5
model	shows	5
model	takes	5
we	did	5
model	described	5
dynamics	model	5
model	considers	5
control	model	5
covid-19	based	5
disease	models	5
analysis	has	5
epidemic	has	5
individuals	increases	5
infection	are	5
infections	is	5
it	shows	5
rates	are	4
model	given	4
model	gives	4
model	proposed	4
models	used	4
our	estimate	4
parameter	describing	4
r	is	4
rate	increases	4
value	is	4
systems	are	4
t	be	4
them	are	4
they	do	4
transmission	is	4
it	takes	4
we	described	4
we	had	4
we	were	4
model	does	4
population	was	4
infections	has	4
diseases	are	4
infection	model	4
cases	has	4
cases	increases	4
cases	using	4
coronavirus	is	4
country	has	4
covid-19	confirmed	4
covid-19	considering	4
disease	are	4
countries	using	4
dynamics	are	4
epidemic	be	4
epidemics	has	4
epidemics	is	4
equations	is	4
individual	has	4
dynamics	is	4
individuals	infected	4
number	using	3
parameter	increases	3
parameter	has	3
pandemic	spread	3
pandemic	are	3
models	has	3
number	based	3
models	presented	3
models	based	3
parameters	were	3
model	did	3
parameters	used	3
virus	spreading	3
population	model	3
r	be	3
rate	given	3
rates	is	3
she	is	3
they	estimated	3
time	has	3
values	used	3
values	were	3
we	increase	3
we	predicted	3
we	recover	3
model	assumes	3
model	describing	3
infection	was	3
it	spread	3
covid-19	was	3
it	increases	3
analyses	based	3
case	was	3
cases	confirmed	3
cases	infected	3
control	applied	3
coronavirus	has	3
coronavirus	infected	3
countries	has	3
covid-19	are	3
covid-19	have	3
analysis	using	3
data	considering	3
epidemic	spreads	3
day	is	3
individual	becomes	3
he	has	3
equation	has	3
infection	has	3
epidemic	have	3
diseases	have	3
disease	spreads	3
days	were	3
infection	spread	3
systems	modeling	2
parameters	given	2
systems	is	2
system	becomes	2
rates	were	2
rates	increased	2
rate	was	2
rate	becomes	2
r	increases	2
population	having	2
population	becomes	2
our	present	2
pandemic	was	2
pandemic	using	2
outbreak	using	2
outbreak	estimating	2
order	is	2
order	has	2
models	do	2
models	described	2
models	considering	2
systems	were	2
systems	using	2
values	given	2
t	are	2
values	reported	2
we	showed	2
we	modeled	2
we	model	2
we	followed	2
we	follow	2
we	describe	2
model	have	2
virus	model	2
virus	does	2
us	assume	2
their	infected	2
transmissions	are	2
transmission	using	2
transmission	has	2
transmission	based	2
transmission	are	2
time	taken	2
time	model	2
time	are	2
they	become	2
model	predicted	2
virus	using	2
model	considering	2
dynamics	has	2
diseases	using	2
diseases	spread	2
diseases	is	2
diseases	has	2
disease	does	2
days	is	2
day	are	2
data	using	2
data	show	2
data	has	2
data	becomes	2
data	based	2
covid-19	were	2
countries	shows	2
countries	based	2
coronavirus	spreading	2
coronavirus	spread	2
case	are	2
analysis	was	2
analysis	based	2
model	becomes	2
dynamic	models	2
case	confirmed	2
dynamics	models	2
individuals	has	2
model	applied	2
epidemics	using	2
itself	is	2
infections	given	2
infection	using	2
infection	spreads	2
infection	showing	2
individuals	spreading	2
individuals	increase	2
it	spreads	2
individuals	becomes	2
i	m	2
i	am	2
his	model	2
he	considered	2
equation	takes	2
equations	using	2
equation	using	2
equations	shown	2
individual	models	2
parameters	seen	1
parameters	has	1
population	considered	1
parameters	shows	1
parameters	taken	1
parameters	was	1
parameters	gives	1
parameters	described	1
parameters	found	1
parameters	estimated	1
parameters	describing	1
parameters	considering	1
parameters	considered	1
parameters	based	1
parameters	applying	1
population	does	1
parameter	were	1
population	considering	1
r	were	1
population	following	1
population	have	1
parameter	obtained	1
rates	be	1
rate	obtained	1
rate	modelling	1
rate	modeling	1
rate	model	1
rate	increase	1
rate	does	1
rate	are	1
r	was	1
r	take	1
r	infected	1
r	having	1
populations	were	1
population	recovers	1
population	infected	1
population	increases	1
parameter	was	1
order	are	1
parameter	finds	1
number	being	1
numbers	given	1
number	was	1
number	increases	1
number	has	1
number	had	1
number	does	1
number	described	1
number	be	1
order	was	1
number	are	1
models	using	1
models	takes	1
models	showed	1
models	modelling	1
models	modeling	1
models	describing	1
rates	have	1
orders	have	1
parameter	estimated	1
outbreaks	modelling	1
parameter	estimate	1
pandemics	are	1
pandemic	predicting	1
pandemic	infecting	1
pandemic	based	1
outbreaks	was	1
outbreaks	using	1
outbreaks	modeling	1
our	estimates	1
outbreaks	is	1
outbreaks	are	1
outbreak	was	1
outbreak	obtained	1
outbreak	has	1
our	predicted	1
our	models	1
rates	has	1
them	based	1
rates	was	1
she	has	1
value	obtained	1
value	given	1
value	found	1
value	are	1
us	show	1
us	is	1
transmissions	having	1
transmission	following	1
time	were	1
time	spread	1
time	representing	1
time	following	1
time	be	1
time	based	1
they	showed	1
they	show	1
they	representing	1
value	shows	1
values	describing	1
values	obtained	1
virus	infected	1
we	increases	1
we	base	1
viruses	spread	1
viruses	having	1
virus	were	1
virus	shows	1
virus	present	1
virus	having	1
values	reduce	1
virus	follows	1
virus	followed	1
virus	becomes	1
virus	based	1
virus	are	1
values	use	1
values	taken	1
they	represent	1
they	recover	1
they	proposed	1
systems	gives	1
t	using	1
t	gives	1
systems	was	1
systems	represented	1
systems	presented	1
systems	have	1
systems	has	1
systems	described	1
their	being	1
systems	based	1
system	using	1
system	represented	1
system	model	1
system	increases	1
system	described	1
system	describe	1
t	was	1
their	proposed	1
they	had	1
they	consider	1
they	give	1
they	found	1
they	follow	1
they	estimate	1
they	did	1
they	described	1
they	considered	1
they	applied	1
theirs	is	1
themselves	been	1
them	was	1
them	presents	1
them	is	1
them	infected	1
them	have	1
models	be	1
models	describe	1
it	gives	1
modelled	was	1
dynamics	spread	1
day	assumed	1
data	were	1
data	represent	1
data	reported	1
data	predicted	1
data	modeling	1
data	have	1
data	does	1
covid-19	spreading	1
covid-19	modeling	1
covid-19	had	1
covid-19	applied	1
country	recover	1
country	infected	1
country	had	1
country	becomes	1
country	are	1
day	has	1
day	increase	1
days	have	1
diseases	was	1
dynamics	modeling	1
dynamics	have	1
dynamics	follow	1
dynamics	considering	1
dynamic	spread	1
dynamic	is	1
dynamic	are	1
diseases	model	1
disease	based	1
diseases	estimating	1
disease	was	1
disease	take	1
disease	reports	1
disease	obtained	1
disease	modeling	1
disease	modeled	1
countries	were	1
countries	was	1
countries	shown	1
case	reporting	1
cases	does	1
cases	described	1
cases	describe	1
cases	considering	1
cases	becomes	1
cases	based	1
cases	applied	1
case	has	1
cases	had	1
case	estimates	1
analysis	takes	1
analysis	shows	1
analysis	modelling	1
analysis	have	1
analysis	found	1
's	consider	1
cases	giving	1
cases	increasing	1
countries	show	1
controls	is	1
countries	had	1
countries	followed	1
coronavirus	was	1
coronavirus	using	1
coronavirus	have	1
coronavirus	estimating	1
coronavirus	being	1
control	was	1
cases	obtained	1
control	representing	1
control	modeling	1
control	has	1
control	are	1
cases	used	1
cases	take	1
cases	presents	1
dynamics	predict	1
dynamics	using	1
modelled	using	1
epidemic	are	1
it	had	1
it	became	1
it	assumes	1
infections	were	1
infections	using	1
infections	followed	1
infections	confirmed	1
infections	based	1
infections	are	1
infection	predicted	1
infection	given	1
infection	following	1
infection	confirmed	1
infection	be	1
individuals	were	1
individuals	was	1
individuals	showing	1
it	have	1
it	infects	1
it	obtained	1
model	had	1
modeled	based	1
model	uses	1
model	taking	1
model	showed	1
model	presents	1
model	modeling	1
model	increases	1
model	giving	1
it	predicts	1
model	gave	1
model	considered	1
model	be	1
its	use	1
its	predicted	1
its	increase	1
it	represents	1
individuals	show	1
individuals	reducing	1
individuals	recovering	1
epidemics	modeling	1
equations	estimating	1
equations	based	1
equation	used	1
equation	have	1
equation	gives	1
equation	are	1
epidemics	modelling	1
epidemics	be	1
equations	has	1
epidemics	based	1
epidemic	was	1
epidemic	using	1
epidemic	take	1
epidemic	shows	1
epidemic	become	1
epidemic	based	1
equations	given	1
equations	have	1
individuals	recovered	1
individual	being	1
individuals	presenting	1
individuals	had	1
individuals	does	1
individuals	be	1
individuals	base	1
individual	presents	1
individual	model	1
i	ve	1
equations	model	1
i	follows	1
i	are	1
he	is	1
he	did	1
equations	were	1
equations	presented	1
equations	modeling	1
we	represented	1