Using an age-structured COVID-19 epidemic model and data to model virulence evolution in Wuhan, China

DOI10.1080/17513758.2021.2020916zbMath1484.92106OpenAlexW4206364888WikidataQ114637741 ScholiaQ114637741MaRDI QIDQ5862037

Maia Martcheva, Sanling Yuan, Xi-Chao Duan, Xue-Zhi Li

Publication date: 4 March 2022

Published in: Journal of Biological Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17513758.2021.2020916

zbMATH Keywords

virulence evolutionage structured modelCOVID-192019-nCoV`Fangcang' hospitals

Mathematics Subject Classification ID

Epidemiology (92D30) Mathematical geography and demography (91D20)

Related Items (3)

Threshold dynamics of a stochastic SIHR epidemic model of COVID-19 with general population-size dependent contact rate ⋮ Spatiotemporal pattern recognition and dynamical analysis of COVID-19 in Shanghai, China ⋮ Recurrent epidemic waves in a delayed epidemic model with quarantine

Cites Work

• Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan
• Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
• An Introduction to Mathematical Epidemiology

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