id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-280975-9hgtvm6d	Sarkar, Kankan	Modeling and forecasting the COVID-19 pandemic in India	2020-06-28		.txt	text/plain	3771	183	47	A sensitivity analysis is conducted to determine the robustness of model predictions to parameter values and the sensitive parameters are estimated from the real data on the COVID-19 pandemic in India. [27] extended the SEIR (susceptible-exposed-infectious-removed) compartment model to study the dynamics of COVID-19 incorporating public perception of risk and the number of cumulative cases. Here, we developed 70 a new epidemiological mathematical model for novel coronavirus or SARS-CoV-2 epidemic in India that extends the standard SEIR compartment model, alike to that studied by Tang et al. We develop here a classical SEIR (susceptible-exposed-infectious-recovered)-type epidemiological model 75 by introducing contact tracing and other interventions such as quarantine, lockdown, social distancing and isolation that can represent the overall dynamics of novel coronavirus or COVID-19 (SARS-CoV-2). The square of sum of 185 the error computed as Σ n i=1 (C(i) − S(i)) 2 , where C(i) represents the observed daily new COVID-19 cases on i-th day, S(i) is the SARII q S q model simulation on i-th day and n is the sample size of the observed data.	./cache/cord-280975-9hgtvm6d.txt	./txt/cord-280975-9hgtvm6d.txt