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

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...

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Autores principales: Jia, Qiaojuan, Li, Jiali, Lin, Hualiang, Tian, Fei, Zhu, Guanghu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554197/
https://www.ncbi.nlm.nih.gov/pubmed/34728898
http://dx.doi.org/10.1007/s11071-021-07001-1
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author Jia, Qiaojuan
Li, Jiali
Lin, Hualiang
Tian, Fei
Zhu, Guanghu
author_facet Jia, Qiaojuan
Li, Jiali
Lin, Hualiang
Tian, Fei
Zhu, Guanghu
author_sort Jia, Qiaojuan
collection PubMed
description 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.
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spelling pubmed-85541972021-10-29 The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces Jia, Qiaojuan Li, Jiali Lin, Hualiang Tian, Fei Zhu, Guanghu Nonlinear Dyn Original Paper 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. Springer Netherlands 2021-10-29 2022 /pmc/articles/PMC8554197/ /pubmed/34728898 http://dx.doi.org/10.1007/s11071-021-07001-1 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Jia, Qiaojuan
Li, Jiali
Lin, Hualiang
Tian, Fei
Zhu, Guanghu
The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces
title The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces
title_full The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces
title_fullStr The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces
title_full_unstemmed The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces
title_short The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces
title_sort spatiotemporal transmission dynamics of covid-19 among multiple regions: a modeling study in chinese provinces
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554197/
https://www.ncbi.nlm.nih.gov/pubmed/34728898
http://dx.doi.org/10.1007/s11071-021-07001-1
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