The coSIR model predicts effective strategies to limit the spread of SARS-CoV-2 variants with low severity and high transmissibility.

Xu, Longchen; Zhang, Haohang; Xu, Hengyi; Yang, Han; Zhang, Lei; Zhang, Wei; Gu, Fei; Lan, Xun

Xu, Longchen; Zhang, Haohang; Xu, Hengyi; Yang, Han; Zhang, Lei; Zhang, Wei; Gu, Fei; Lan, Xun.

Afiliação

Xu L; School of Life Sciences, Tsinghua University, Beijing, 100084 China.
Zhang H; Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, 100084 China.
Xu H; School of Life Sciences, Tsinghua University, Beijing, 100084 China.
Yang H; Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, 100084 China.
Zhang L; Eight-Year MD Program, Peking Union Medical College, Beijing, 100084 China.
Zhang W; DAMO, Alibaba Cloud Intelligence Business Group, Alibaba Group, Hangzhou, 310052 China.
Gu F; DAMO, Alibaba Cloud Intelligence Business Group, Alibaba Group, Hangzhou, 310052 China.
Lan X; School of Life Sciences, Tsinghua University, Beijing, 100084 China.

Nonlinear Dyn ; 105(3): 2757-2773, 2021.

Article em En | MEDLINE | ID: mdl-34334951

Palavras-chave

COVID-19; COVID-19 control strategy; Competitive evolution; SARS-CoV-2 evolution; SIR model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nonlinear Dyn Ano de publicação: 2021 Tipo de documento: Article

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