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Effects of climate variables on the transmission of COVID-19: a systematic review of 62 ecological studies.
Zheng, Hu-Li; Guo, Ze-Li; Wang, Mei-Ling; Yang, Chuan; An, Shu-Yi; Wu, Wei.
  • Zheng HL; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
  • Guo ZL; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
  • Wang ML; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
  • Yang C; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
  • An SY; Liaoning Provincial Centers for Disease Control and Prevention, Shenyang, Liaoning, China.
  • Wu W; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China. wuwei@cmu.edu.cn.
Environ Sci Pollut Res Int ; 28(39): 54299-54316, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1358116
ABSTRACT
The new severe acute respiratory syndrome coronavirus 2 was initially discovered at the end of 2019 in Wuhan City in China and has caused one of the most serious global public health crises. A collection and analysis of studies related to the association between COVID-19 (coronavirus disease 2019) transmission and meteorological factors, such as humidity, is vital and indispensable for disease prevention and control. A comprehensive literature search using various databases, including Web of Science, PubMed, and Chinese National Knowledge Infrastructure, was systematically performed to identify eligible studies from Dec 2019 to Feb 1, 2021. We also established six criteria to screen the literature to obtain high-quality literature with consistent research purposes. This systematic review included a total of 62 publications. The study period ranged from 1 to 8 months, with 6 papers considering incubation, and the lag effect of climate factors on COVID-19 activity being taken into account in 22 studies. After quality assessment, no study was found to have a high risk of bias, 30 studies were scored as having moderate risks of bias, and 32 studies were classified as having low risks of bias. The certainty of evidence was also graded as being low. When considering the existing scientific evidence, higher temperatures may slow the progression of the COVID-19 epidemic. However, during the course of the epidemic, these climate variables alone could not account for most of the variability. Therefore, countries should focus more on health policies while also taking into account the influence of weather.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2021 Document Type: Article Affiliation country: S11356-021-15929-5

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2021 Document Type: Article Affiliation country: S11356-021-15929-5