id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-123800-pxhott2p	Pandey, Gaurav	SEIR and Regression Model based COVID-19 outbreak predictions in India	2020-04-01		.txt	text/plain	3163	178	60	title: SEIR and Regression Model based COVID-19 outbreak predictions in India In this study, outbreak of this disease has been analysed for India till 30th March 2020 and predictions have been made for the number of cases for the next 2 weeks. For analysis and prediction of number of COVID-19 patients in India, the following models have been used. Recovered person was not sick again during the calculation period Now, considering 70% of India's population to be approximately 966 million in susceptible class (S) and assuming only 1 person got infected in the initial part with average incubation period of 5.2, average infectious period of 2.9 and R 0 equal to 4, the SEIR model without intervention is shown in Figure 3 with the assumptions mentioned above. In this study, two machine learning models SEIR and Regression were used to analyse and predict the change in spread of COVID-19 disease.	./cache/cord-123800-pxhott2p.txt	./txt/cord-123800-pxhott2p.txt