A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects.

Lu, Zhenzhen; Yu, Yongguang; Chen, YangQuan; Ren, Guojian; Xu, Conghui; Wang, Shuhui; Yin, Zhe

Lu, Zhenzhen; Yu, Yongguang; Chen, YangQuan; Ren, Guojian; Xu, Conghui; Wang, Shuhui; Yin, Zhe.

Afiliação

Lu Z; Department of Mathematics, Beijing Jiaotong University, Beijing, 100044 People's Republic of China.
Yu Y; Department of Mathematics, Beijing Jiaotong University, Beijing, 100044 People's Republic of China.
Chen Y; Mechatronics, Embedded Systems and Automation Lab, University of California, Merced, CA 95343 USA.
Ren G; Department of Mathematics, Beijing Jiaotong University, Beijing, 100044 People's Republic of China.
Xu C; Department of Mathematics, Beijing Jiaotong University, Beijing, 100044 People's Republic of China.
Wang S; Department of Mathematics, Beijing Jiaotong University, Beijing, 100044 People's Republic of China.
Yin Z; Department of Mathematics, Beijing Jiaotong University, Beijing, 100044 People's Republic of China.

Nonlinear Dyn ; 101(3): 1717-1730, 2020.

Article em En | MEDLINE | ID: mdl-32836817

Palavras-chave

COVID-19; Fractional-order; Inter-city networked coupling effects; SEIHDR epidemic model

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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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