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DOI 10.1007/s11071-021-07001-1

Медицинская библиотека · Nonlinear dynamics · 2021

The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces.

Toccaceli S, Persico Stella L, Diana M, Taccone A, Giuliani G, De Paola L, Valvano M, De Padua C, Di Biasio G, Ranucci C, Orsi E, La Torre F

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Аннотация

UNLABELLED: Current explosive outbreak of COVID-19 around the world is a complex spatiotemporal process with hidden interactions between viruses and humans. This study aims at clarifying the transmission patterns and the driving mechanism that contributed to the COVID-19 prevalence across the provinces of China. Thus, a new dynamical transmission model is established by an ordinary differential system. The model takes into account the hidden circulation of COVID-19 virus among/within humans, which incorporates the spatial diffusion of infection by parameterizing human mobility. Theoretical analysis indicates that the basic reproduction number is a unique epidemic threshold, which can unite infectivity in each region by human mobility and can totally determine whether COVID-19 proceeds among multiple regions. By validating the model with real epidemic data in China, it is found that (1) if without any intervention, COVID-19 would overrun China within three months, resulting in more than 1.1 billion clinical infections and 0.2 billion subclinical infections; (2) high frequency of human mobility can trigger COVID-19 diffusion across each province in China, no matter where the initial infection locates; (3) travel restrictions and other non-pharmaceutical interventions must be implemented simultaneously for disease control; and (4) infection sites in central and east (rather than west and northeast) of China would easily stimulate quick diffusion of COVID-19 in the whole country.

SUPPLEMENTARY INFORMATION: The online version supplementary material available at 10.1007/s11071-021-07001-1.

Для цитирования: Toccaceli S, Persico Stella L, Diana M, Taccone A, Giuliani G, De Paola L, Valvano M, De Padua C, Di Biasio G, Ranucci C, Orsi E, La Torre F. The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces.. Nonlinear dynamics. 2021. DOI: 10.1007/s11071-021-07001-1.
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