Modelling and optimal control of multi strain epidemics, with application to COVID-19

Reinfection and multiple viral strains are among the latest challenges in the current COVID-19 pandemic. In contrast, epidemic models often consider a single strain and perennial immunity. To bridge this gap, we present a new epidemic model that simultaneously considers multiple viral strains and re...

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Veröffentlicht in:	PloS one 2021-09, Vol.16 (9), p.e0257512-e0257512
Hauptverfasser:	Arruda, Edilson F, Das, Shyam S, Dias, Claudia M, Pastore, Dayse H
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biology and Life Sciences Brazil Brazil - epidemiology Computer and Information Sciences Computer Simulation Control Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 - virology Decision making Disease control Economic impact Economic models England - epidemiology Epidemic models Epidemics Epidemics - prevention & control Humans Immunity Medicine and Health Sciences Mitigation Mitigation costs Modelling Models, Theoretical Optimal control Pandemics People and places Physical Sciences SARS-CoV-2 - physiology Social Sciences Viral diseases Virus Diseases - epidemiology Virus Diseases - prevention & control Virus Diseases - virology
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