Investigating time, strength, and duration of measures in controlling the spread of COVID-19 using a networked meta-population model.

Zhang, Jiang; Dong, Lei; Zhang, Yanbo; Chen, Xinyue; Yao, Guiqing; Han, Zhangang

Zhang, Jiang; Dong, Lei; Zhang, Yanbo; Chen, Xinyue; Yao, Guiqing; Han, Zhangang.

Afiliação

Zhang J; School of Systems Science, Beijing Normal University, Beijing, 100875 China.
Dong L; School of Earth and Space Sciences, Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing, 100871 China.
Zhang Y; Senseable City Lab, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.
Chen X; School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85281 USA.
Yao G; School of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275 China.
Han Z; Department of Health Sciences, University of Leicester, Leicester, LE1 7RH UK.

Nonlinear Dyn ; 101(3): 1789-1800, 2020.

Article em En | MEDLINE | ID: mdl-32836809

Palavras-chave

COVID-19; Intervention; Meta-population epidemic model; Network dynamics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Nonlinear Dyn Ano de publicação: 2020 Tipo de documento: Article

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