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Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08

The COVID-19 pandemic across Chinese mainland was gradually stabilized at a low level with sporadic outbreaks, before the emergence of Omicron variant. Apart from non-pharmacological interventions (NPIs), COVID-19 vaccine has also been implemented to prevent and control the pandemic since early 2021...

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Autores principales: Fu, Lin-Tao, Qu, Zhong-Ling, Zeng, Xin, Li, Liang-Zhi, Lan, Run, Zhou, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363524/
https://www.ncbi.nlm.nih.gov/pubmed/37482580
http://dx.doi.org/10.1038/s41598-023-39139-w
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author Fu, Lin-Tao
Qu, Zhong-Ling
Zeng, Xin
Li, Liang-Zhi
Lan, Run
Zhou, Yu
author_facet Fu, Lin-Tao
Qu, Zhong-Ling
Zeng, Xin
Li, Liang-Zhi
Lan, Run
Zhou, Yu
author_sort Fu, Lin-Tao
collection PubMed
description The COVID-19 pandemic across Chinese mainland was gradually stabilized at a low level with sporadic outbreaks, before the emergence of Omicron variant. Apart from non-pharmacological interventions (NPIs), COVID-19 vaccine has also been implemented to prevent and control the pandemic since early 2021. Although many aspects have been focused, the change of the spatiotemporal distribution of COVID-19 epidemic across Chinese mainland responding to the change of prevention and control measures were less concerned. Here, we collected the confirmed case data (including domestic cases and overseas imported cases) across Chinese mainland during both 2020/04–2020/08 and 2021/04–2021/08, and then conducted a preliminary data comparison on the spatiotemporal distribution of confirmed cases during the identical period between the two years. Distribution patterns were evaluated both qualitatively by classification method and quantitatively through employing coefficient of variation. Results revealed significant differences in the homogeneity of spatiotemporal distributions of imported or domestic cases between the two years, indicating that the important effect of the adjustment of prevention and control measures on the epidemic evolution. The findings here enriched our practical experience of COVID-19 prevention and control. And, the collected data here might be helpful for improving or verifying spatiotemporally dynamic models of infectious diseases.
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spelling pubmed-103635242023-07-25 Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08 Fu, Lin-Tao Qu, Zhong-Ling Zeng, Xin Li, Liang-Zhi Lan, Run Zhou, Yu Sci Rep Article The COVID-19 pandemic across Chinese mainland was gradually stabilized at a low level with sporadic outbreaks, before the emergence of Omicron variant. Apart from non-pharmacological interventions (NPIs), COVID-19 vaccine has also been implemented to prevent and control the pandemic since early 2021. Although many aspects have been focused, the change of the spatiotemporal distribution of COVID-19 epidemic across Chinese mainland responding to the change of prevention and control measures were less concerned. Here, we collected the confirmed case data (including domestic cases and overseas imported cases) across Chinese mainland during both 2020/04–2020/08 and 2021/04–2021/08, and then conducted a preliminary data comparison on the spatiotemporal distribution of confirmed cases during the identical period between the two years. Distribution patterns were evaluated both qualitatively by classification method and quantitatively through employing coefficient of variation. Results revealed significant differences in the homogeneity of spatiotemporal distributions of imported or domestic cases between the two years, indicating that the important effect of the adjustment of prevention and control measures on the epidemic evolution. The findings here enriched our practical experience of COVID-19 prevention and control. And, the collected data here might be helpful for improving or verifying spatiotemporally dynamic models of infectious diseases. Nature Publishing Group UK 2023-07-23 /pmc/articles/PMC10363524/ /pubmed/37482580 http://dx.doi.org/10.1038/s41598-023-39139-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Fu, Lin-Tao
Qu, Zhong-Ling
Zeng, Xin
Li, Liang-Zhi
Lan, Run
Zhou, Yu
Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08
title Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08
title_full Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08
title_fullStr Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08
title_full_unstemmed Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08
title_short Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08
title_sort spatiotemporal dynamics of confirmed case distribution during the covid-19 pandemic in china: data comparison between 2020/04–2020/08 and 2021/04–2021/08
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363524/
https://www.ncbi.nlm.nih.gov/pubmed/37482580
http://dx.doi.org/10.1038/s41598-023-39139-w
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