Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784591743234080768 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8554197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jiaqiaojuan thespatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT lijiali thespatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT linhualiang thespatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT tianfei thespatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT zhuguanghu thespatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT jiaqiaojuan spatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT lijiali spatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT linhualiang spatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT tianfei spatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces AT zhuguanghu spatiotemporaltransmissiondynamicsofcovid19amongmultipleregionsamodelingstudyinchineseprovinces |