id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-338466-7uvta990	Singh, Brijesh P.	Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook	2020-10-31		.txt	text/plain	9001	478	57	For the spread of COVID-19, when disease dynamics are still unclear, mathematical modeling helps us to estimate the cumulative number of positive cases in the present scenarios. There are already various measures such as social distancing, lockdown masking and washing hand regularly has been implemented to prevent the spread of COVID-19, but in absence of particular medicine and vaccine it is very important to predict how the infection is likely to develop among the population that support prevention of the disease and aid in the preparation of healthcare service. The logistic growth regression model is used for the estimation of the final size and its peak time of the COVID-19 pandemic in many countries of the World and found similar result obtained by SIR model (Batista, 2020) .	./cache/cord-338466-7uvta990.txt	./txt/cord-338466-7uvta990.txt