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Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China
Meteorological parameters are the important factors influencing the infectious diseases such as severe acute respiratory syndrome (SARS) and influenza. This study aims to explore the association between Corona Virus Disease 2019 (COVID-19) deaths and weather parameters. In this study, we collected t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142681/ https://www.ncbi.nlm.nih.gov/pubmed/32408453 http://dx.doi.org/10.1016/j.scitotenv.2020.138226 |
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author | Ma, Yueling Zhao, Yadong Liu, Jiangtao He, Xiaotao Wang, Bo Fu, Shihua Yan, Jun Niu, Jingping Zhou, Ji Luo, Bin |
author_facet | Ma, Yueling Zhao, Yadong Liu, Jiangtao He, Xiaotao Wang, Bo Fu, Shihua Yan, Jun Niu, Jingping Zhou, Ji Luo, Bin |
author_sort | Ma, Yueling |
collection | PubMed |
description | Meteorological parameters are the important factors influencing the infectious diseases such as severe acute respiratory syndrome (SARS) and influenza. This study aims to explore the association between Corona Virus Disease 2019 (COVID-19) deaths and weather parameters. In this study, we collected the daily death numbers of COVID-19, meteorological parameters and air pollutant data from 20 January 2020 to 29 February 2020 in Wuhan, China. Generalized additive model was applied to explore the effect of temperature, humidity and diurnal temperature range on the daily death counts of COVID-19. There were 2299 COVID-19 death counts in Wuhan during the study period. A positive association with COVID-19 daily death counts was observed for diurnal temperature range (r = 0.44), but negative association for relative humidity (r = −0.32). In addition, one unit increase in diurnal temperature range was only associated with a 2.92% (95% CI: 0.61%, 5.28%) increase in COVID-19 deaths in lag 3. However, both 1 unit increase of temperature and absolute humidity were related to the decreased COVID-19 death in lag 3 and lag 5, with the greatest decrease both in lag 3 [−7.50% (95% CI: −10.99%, −3.88%) and −11.41% (95% CI: −19.68%, −2.29%)]. In summary, this study suggests the temperature variation and humidity may also be important factors affecting the COVID-19 mortality. |
format | Online Article Text |
id | pubmed-7142681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71426812020-04-09 Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China Ma, Yueling Zhao, Yadong Liu, Jiangtao He, Xiaotao Wang, Bo Fu, Shihua Yan, Jun Niu, Jingping Zhou, Ji Luo, Bin Sci Total Environ Article Meteorological parameters are the important factors influencing the infectious diseases such as severe acute respiratory syndrome (SARS) and influenza. This study aims to explore the association between Corona Virus Disease 2019 (COVID-19) deaths and weather parameters. In this study, we collected the daily death numbers of COVID-19, meteorological parameters and air pollutant data from 20 January 2020 to 29 February 2020 in Wuhan, China. Generalized additive model was applied to explore the effect of temperature, humidity and diurnal temperature range on the daily death counts of COVID-19. There were 2299 COVID-19 death counts in Wuhan during the study period. A positive association with COVID-19 daily death counts was observed for diurnal temperature range (r = 0.44), but negative association for relative humidity (r = −0.32). In addition, one unit increase in diurnal temperature range was only associated with a 2.92% (95% CI: 0.61%, 5.28%) increase in COVID-19 deaths in lag 3. However, both 1 unit increase of temperature and absolute humidity were related to the decreased COVID-19 death in lag 3 and lag 5, with the greatest decrease both in lag 3 [−7.50% (95% CI: −10.99%, −3.88%) and −11.41% (95% CI: −19.68%, −2.29%)]. In summary, this study suggests the temperature variation and humidity may also be important factors affecting the COVID-19 mortality. Elsevier B.V. 2020-07-01 2020-03-26 /pmc/articles/PMC7142681/ /pubmed/32408453 http://dx.doi.org/10.1016/j.scitotenv.2020.138226 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ma, Yueling Zhao, Yadong Liu, Jiangtao He, Xiaotao Wang, Bo Fu, Shihua Yan, Jun Niu, Jingping Zhou, Ji Luo, Bin Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China |
title | Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China |
title_full | Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China |
title_fullStr | Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China |
title_full_unstemmed | Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China |
title_short | Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China |
title_sort | effects of temperature variation and humidity on the death of covid-19 in wuhan, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142681/ https://www.ncbi.nlm.nih.gov/pubmed/32408453 http://dx.doi.org/10.1016/j.scitotenv.2020.138226 |
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