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Journal of Biological Dynamics Volume 16, 2022 - Issue 1
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Research Article

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

Xi-Chao Duana College of Science, University of Shanghai for Science and Technology, Shanghai, People's Republic of ChinaView further author information
,
Xue-Zhi Lib College of Mathematics and Information Science, Henan Normal University, Xinxiang, People's Republic of ChinaView further author information
,
Maia Martchevac Department of Mathematics, University of Florida, Gainesville, FL, USACorrespondence[email protected] [email protected] [email protected] [email protected]
View further author information
&
Sanling Yuana College of Science, University of Shanghai for Science and Technology, Shanghai, People's Republic of ChinaView further author information
Pages 14-28 | Received 20 May 2021, Accepted 10 Dec 2021, Published online: 07 Jan 2022

Citations (3)

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Read on this site (1)

Toshikazu Kuniya. (2022) Recurrent epidemic waves in a delayed epidemic model with quarantine. Journal of Biological Dynamics 16:1, pages 619-639.
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Articles from other publishers (2)

Haonan Zhong, Kaifa Wang & Wendi Wang. (2022) Spatiotemporal pattern recognition and dynamical analysis of COVID-19 in Shanghai, China. Journal of Theoretical Biology 554, pages 111279.
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Tianfang Hou, Guijie Lan, Sanling Yuan & Tonghua Zhang. (2022) Threshold dynamics of a stochastic SIHR epidemic model of COVID-19 with general population-size dependent contact rate. Mathematical Biosciences and Engineering 19:4, pages 4217-4236.
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