id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-253461-o63ru7nr	Tewari, A.	Temporal Analysis of COVID-19 Peak Outbreak	2020-09-13		.txt	text/plain	1779	109	49	Intent of this research is to explore how a specific class of mathematical models namely Susceptible-Infected-Removed model can be utilized to forecast peak outbreak timelines of COVID-19 epidemic amongst a population of interest starting from the date of first reported case. With this in mind, SIR model is explored in current research to forecast peak COVID-19 outbreak over a large population in India. DISCUSSION This research was conducted to evaluate the feasibility of application of SIR model to predict peak COVID-19 outbreak timeline from the date of first reported case for the 10 largest states in India which together constitute more than 74% or almost 3/4 th of total population in India. For 9 out of 10 largest states in India included in the research, chosen SIR model could predict peak outbreak timeline from the date of the first reported case with error of +/-6 days or less and Standard Deviation (SD) in error = 5.83 day.	./cache/cord-253461-o63ru7nr.txt	./txt/cord-253461-o63ru7nr.txt