id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-258018-29vtxz89	Cooper, Ian	A SIR model assumption for the spread of COVID-19 in different communities	2020-06-28		.txt	text/plain	5817	219	52	The Lancet infectious diseases Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions Analysis and forecast of COVID-19 spreading in China, Italy and France A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy Estimation of COVID-19 dynamics on a back-of-envelope: Does the simplest SIR model provide quantitative parameters and predictions Modeling the impact of mass influenza vaccination and public health interventions on COVID-19 epidemics with limited detection capability Three basic epidemiological models The mathematics of infectious diseases The basic epidemiology models: models, expressions for R0, parameter estimation, and applications The SIR model and the foundations of public health Global analysis of the COVID-19 pandemic using simple epidemiological models A modified sir model for the covid-19 contagion in Italy Mathematical modeling of covid-19 transmission dynamics with a case study of wuhan Mod-370 elling the COVID-19 epidemic and implementation of population-wide interventions in Italy The effectiveness of quarantine of Wuhan city against the Corona Virus Disease 2019 (COVID19): A wellmixed SEIR model analysis ), e0230405. System (1) can be solved numerically to find how the scaled (by f ) susceptible S, infected I and removed R m populations (what we call model solutions) evolve with time, in good agreement with the recorded data.	cache/cord-258018-29vtxz89.txt	txt/cord-258018-29vtxz89.txt
