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Impact of climate change on SARS-CoV-2 epidemic in China
The outbreak and prevalence of SARS-CoV-2 have severely affected social security. Physical isolation is an effective control that affects the short-term human-to-human transmission of the epidemic, although weather presents a long-term effect. Understanding the effect of weather on the outbreak allo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374073/ https://www.ncbi.nlm.nih.gov/pubmed/37498956 http://dx.doi.org/10.1371/journal.pone.0285179 |
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author | Yu, Zhenyu Wang, Jinnian Tan, Zixuan Luo, Yiyun |
author_facet | Yu, Zhenyu Wang, Jinnian Tan, Zixuan Luo, Yiyun |
author_sort | Yu, Zhenyu |
collection | PubMed |
description | The outbreak and prevalence of SARS-CoV-2 have severely affected social security. Physical isolation is an effective control that affects the short-term human-to-human transmission of the epidemic, although weather presents a long-term effect. Understanding the effect of weather on the outbreak allow it to be contained at the earliest possible. China is selected as the study area, and six weather factors that receive the most attention from January 20, 2020 to April 30, 2020 are selected to investigate the correlation between weather and SARS-CoV-2 to provide a theoretical basis for long-term epidemic prevention and control. The results show that (1) the average growth rate (GR) of SARS-CoV-2 in each province is logarithmically distributed with a mean value of 5.15%. The GR of the southeastern region is higher than that of the northwestern region, which is consistent with the Hu Line. (2) The specific humidity, 2-m temperature (T), ultraviolet (UV) radiation, and wind speed (WS) adversely affect the GR. By contrast, the total precipitation (TP) and surface pressure (SP) promote the GR. (3) For every 1 unit increase in UV radiation, the GR decreases by 0.30% in 11 days, and the UV radiation in China is higher than that worldwide (0.92% higher per day). Higher population aggregation and urbanization directly affect the epidemic, and weather is an indirect factor. |
format | Online Article Text |
id | pubmed-10374073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103740732023-07-28 Impact of climate change on SARS-CoV-2 epidemic in China Yu, Zhenyu Wang, Jinnian Tan, Zixuan Luo, Yiyun PLoS One Research Article The outbreak and prevalence of SARS-CoV-2 have severely affected social security. Physical isolation is an effective control that affects the short-term human-to-human transmission of the epidemic, although weather presents a long-term effect. Understanding the effect of weather on the outbreak allow it to be contained at the earliest possible. China is selected as the study area, and six weather factors that receive the most attention from January 20, 2020 to April 30, 2020 are selected to investigate the correlation between weather and SARS-CoV-2 to provide a theoretical basis for long-term epidemic prevention and control. The results show that (1) the average growth rate (GR) of SARS-CoV-2 in each province is logarithmically distributed with a mean value of 5.15%. The GR of the southeastern region is higher than that of the northwestern region, which is consistent with the Hu Line. (2) The specific humidity, 2-m temperature (T), ultraviolet (UV) radiation, and wind speed (WS) adversely affect the GR. By contrast, the total precipitation (TP) and surface pressure (SP) promote the GR. (3) For every 1 unit increase in UV radiation, the GR decreases by 0.30% in 11 days, and the UV radiation in China is higher than that worldwide (0.92% higher per day). Higher population aggregation and urbanization directly affect the epidemic, and weather is an indirect factor. Public Library of Science 2023-07-27 /pmc/articles/PMC10374073/ /pubmed/37498956 http://dx.doi.org/10.1371/journal.pone.0285179 Text en © 2023 Yu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yu, Zhenyu Wang, Jinnian Tan, Zixuan Luo, Yiyun Impact of climate change on SARS-CoV-2 epidemic in China |
title | Impact of climate change on SARS-CoV-2 epidemic in China |
title_full | Impact of climate change on SARS-CoV-2 epidemic in China |
title_fullStr | Impact of climate change on SARS-CoV-2 epidemic in China |
title_full_unstemmed | Impact of climate change on SARS-CoV-2 epidemic in China |
title_short | Impact of climate change on SARS-CoV-2 epidemic in China |
title_sort | impact of climate change on sars-cov-2 epidemic in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374073/ https://www.ncbi.nlm.nih.gov/pubmed/37498956 http://dx.doi.org/10.1371/journal.pone.0285179 |
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