Author: Glenn F Webb; Pierre Magal; Zhihua Liu; Ousmane Seydi
Title: A model to predict COVID-19 epidemics with applications to South Korea, Italy, and Spain Document date: 2020_4_10
ID: c95lntyp_1
Snippet: In previous works [1] , [2] , [3] , our team developed differential equations models of COVID-19 epidemics. Our goal was to predict forward in time the future number of cases from early reported case data in regions throughout the world. Our models incorporated the following important elements of COVID-19 epidemics: (1) the number of asymptomatic infectious individuals (with very mild or no symptoms), (2) the number of symptomatic reported infect.....
Document: In previous works [1] , [2] , [3] , our team developed differential equations models of COVID-19 epidemics. Our goal was to predict forward in time the future number of cases from early reported case data in regions throughout the world. Our models incorporated the following important elements of COVID-19 epidemics: (1) the number of asymptomatic infectious individuals (with very mild or no symptoms), (2) the number of symptomatic reported infectious individuals (with severe symptoms) and (3) the number of symptomatic unreported infectious individuals (with less severe symptoms). Our models decomposed COVID-19 epidemics into three phases:
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