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
Abstract 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 e...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-39139-w |
| _version_ | 1827895177246670848 |
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| author | Lin-Tao Fu Zhong-Ling Qu Xin Zeng Liang-Zhi Li Run Lan Yu Zhou |
| author_facet | Lin-Tao Fu Zhong-Ling Qu Xin Zeng Liang-Zhi Li Run Lan Yu Zhou |
| author_sort | Lin-Tao Fu |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-12T22:17:48Z |
| format | Article |
| id | doaj.art-5a339ae421c24505a6ac9b057c345142 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-12T22:17:48Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5a339ae421c24505a6ac9b057c3451422023-07-23T11:14:14ZengNature PortfolioScientific Reports2045-23222023-07-0113111110.1038/s41598-023-39139-wSpatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04–2020/08 and 2021/04–2021/08Lin-Tao Fu0Zhong-Ling Qu1Xin Zeng2Liang-Zhi Li3Run Lan4Yu Zhou5School of Architecture and Civil Engineering, Chengdu UniversitySchool of Architecture and Civil Engineering, Chengdu UniversitySchool of Architecture and Civil Engineering, Chengdu UniversitySchool of Architecture and Civil Engineering, Chengdu UniversitySchool of Architecture and Civil Engineering, Chengdu UniversitySchool of Architecture and Civil Engineering, Chengdu UniversityAbstract 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.https://doi.org/10.1038/s41598-023-39139-w |
| spellingShingle | Lin-Tao Fu Zhong-Ling Qu Xin Zeng Liang-Zhi Li Run Lan Yu Zhou 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 Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-023-39139-w |
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