A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy-Reference-Cited by-同舟云学术

A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy

Published:2020-08 Issue: Volume:326 Page:108391
ISSN:0025-5564
Container-title:Mathematical Biosciences
language:en
Short-container-title:Mathematical Biosciences

Author:

Xue Ling,Jing Shuanglin,Miller Joel C.,Sun Wei,Li Huafeng,Estrada-Franco José Guillermo,Hyman James M.,Zhu Huaiping

Funder

Fundamental Research Funds for the Central Universities of China

National Science Foundation for Young Scholars of Heilongjiang Province, China

multidisciplinary, Mexico

Canadian Institutes of Health Research

Canadian COVID-19 Math Modelling Task Force

York University, Canada

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,Statistics and Probability

Reference31 articles.

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4. Early dynamics of transmission and control of COVID-19: a mathematical modelling study;Kucharski;Lancet Infect. Dis.,2020

5. The effect of human mobility and control measures on the COVID-19 epidemic in China;Kraemer;Science,2020

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