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Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China
The novel coronavirus pneumonia (COVID-19) outbreak that emerged in late 2019 has posed a severe threat to human health and social and economic development, and thus has become a major public health crisis affecting the world. The spread of COVID-19 in population and regions is a typical geographica...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035406/ https://www.ncbi.nlm.nih.gov/pubmed/33837241 http://dx.doi.org/10.1038/s41598-021-86188-0 |
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author | Shi, Jinlong Gao, Xing Xue, Shuyan Li, Fengqing Nie, Qifan Lv, Yangfan Wang, Jiaobei Xu, Tingting Du, Guoxu Li, Gang |
author_facet | Shi, Jinlong Gao, Xing Xue, Shuyan Li, Fengqing Nie, Qifan Lv, Yangfan Wang, Jiaobei Xu, Tingting Du, Guoxu Li, Gang |
author_sort | Shi, Jinlong |
collection | PubMed |
description | The novel coronavirus pneumonia (COVID-19) outbreak that emerged in late 2019 has posed a severe threat to human health and social and economic development, and thus has become a major public health crisis affecting the world. The spread of COVID-19 in population and regions is a typical geographical process, which is worth discussing from the geographical perspective. This paper focuses on Shandong province, which has a high incidence, though the first Chinese confirmed case was reported from Hubei province. Based on the data of reported confirmed cases and the detailed information of cases collected manually, we used text analysis, mathematical statistics and spatial analysis to reveal the demographic characteristics of confirmed cases and the spatio-temporal evolution process of the epidemic, and to explore the comprehensive mechanism of epidemic evolution and prevention and control. The results show that: (1) the incidence rate of COVID-19 in Shandong is 0.76/100,000. The majority of confirmed cases are old and middle-aged people who are infected by the intra-province diffusion, followed by young and middle-aged people who are infected outside the province. (2) Up to February 5, the number of daily confirmed cases shows a trend of “rapid increase before slowing down”, among which, the changes of age and gender are closely related to population migration, epidemic characteristics and intervention measures. (3) Affected by the regional economy and population, the spatial distribution of the confirmed cases is obviously unbalanced, with the cluster pattern of “high–low” and “low–high”. (4) The evolution of the migration pattern, affected by the geographical location of Wuhan and Chinese traditional culture, is dominated by “cross-provincial” and “intra-provincial” direct flow, and generally shows the trend of “southwest → northeast”. Finally, combined with the targeted countermeasures of “source-flow-sink”, the comprehensive mechanism of COVID-19 epidemic evolution and prevention and control in Shandong is revealed. External and internal prevention and control measures are also figured out. |
format | Online Article Text |
id | pubmed-8035406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80354062021-04-13 Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China Shi, Jinlong Gao, Xing Xue, Shuyan Li, Fengqing Nie, Qifan Lv, Yangfan Wang, Jiaobei Xu, Tingting Du, Guoxu Li, Gang Sci Rep Article The novel coronavirus pneumonia (COVID-19) outbreak that emerged in late 2019 has posed a severe threat to human health and social and economic development, and thus has become a major public health crisis affecting the world. The spread of COVID-19 in population and regions is a typical geographical process, which is worth discussing from the geographical perspective. This paper focuses on Shandong province, which has a high incidence, though the first Chinese confirmed case was reported from Hubei province. Based on the data of reported confirmed cases and the detailed information of cases collected manually, we used text analysis, mathematical statistics and spatial analysis to reveal the demographic characteristics of confirmed cases and the spatio-temporal evolution process of the epidemic, and to explore the comprehensive mechanism of epidemic evolution and prevention and control. The results show that: (1) the incidence rate of COVID-19 in Shandong is 0.76/100,000. The majority of confirmed cases are old and middle-aged people who are infected by the intra-province diffusion, followed by young and middle-aged people who are infected outside the province. (2) Up to February 5, the number of daily confirmed cases shows a trend of “rapid increase before slowing down”, among which, the changes of age and gender are closely related to population migration, epidemic characteristics and intervention measures. (3) Affected by the regional economy and population, the spatial distribution of the confirmed cases is obviously unbalanced, with the cluster pattern of “high–low” and “low–high”. (4) The evolution of the migration pattern, affected by the geographical location of Wuhan and Chinese traditional culture, is dominated by “cross-provincial” and “intra-provincial” direct flow, and generally shows the trend of “southwest → northeast”. Finally, combined with the targeted countermeasures of “source-flow-sink”, the comprehensive mechanism of COVID-19 epidemic evolution and prevention and control in Shandong is revealed. External and internal prevention and control measures are also figured out. Nature Publishing Group UK 2021-04-09 /pmc/articles/PMC8035406/ /pubmed/33837241 http://dx.doi.org/10.1038/s41598-021-86188-0 Text en © The Author(s) 2021 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 Shi, Jinlong Gao, Xing Xue, Shuyan Li, Fengqing Nie, Qifan Lv, Yangfan Wang, Jiaobei Xu, Tingting Du, Guoxu Li, Gang Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China |
title | Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China |
title_full | Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China |
title_fullStr | Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China |
title_full_unstemmed | Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China |
title_short | Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China |
title_sort | spatio-temporal evolution and influencing mechanism of the covid-19 epidemic in shandong province, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035406/ https://www.ncbi.nlm.nih.gov/pubmed/33837241 http://dx.doi.org/10.1038/s41598-021-86188-0 |
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