A systematic review and meta-analysis on correlation of weather with COVID-19

Abstract This study presents a systematic review and meta-analysis over the findings of significance of correlations between weather parameters (temperature, humidity, rainfall, ultra violet radiation, wind speed) and COVID-19. The meta-analysis was performed by using ‘meta’ package in R studio. We...

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Autores principales: Poulami Majumder, Partha Pratim Ray
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/978bfa5a0cd846c881fe9c424247dd75
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spelling oai:doaj.org-article:978bfa5a0cd846c881fe9c424247dd752021-12-02T15:00:14ZA systematic review and meta-analysis on correlation of weather with COVID-1910.1038/s41598-021-90300-92045-2322https://doaj.org/article/978bfa5a0cd846c881fe9c424247dd752021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90300-9https://doaj.org/toc/2045-2322Abstract This study presents a systematic review and meta-analysis over the findings of significance of correlations between weather parameters (temperature, humidity, rainfall, ultra violet radiation, wind speed) and COVID-19. The meta-analysis was performed by using ‘meta’ package in R studio. We found significant correlation between temperature (0.11 [95% CI 0.01–0.22], 0.22 [95% CI, 0.16–0.28] for fixed effect death rate and incidence, respectively), humidity (0.14 [95% CI 0.07–0.20] for fixed effect incidence) and wind speed (0.58 [95% CI 0.49–0.66] for fixed effect incidence) with the death rate and incidence of COVID-19 (p < 0.01). The study included 11 articles that carried extensive research work on more than 110 country-wise data set. Thus, we can show that weather can be considered as an important element regarding the correlation with COVID-19.Poulami MajumderPartha Pratim RayNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Poulami Majumder
Partha Pratim Ray
A systematic review and meta-analysis on correlation of weather with COVID-19
description Abstract This study presents a systematic review and meta-analysis over the findings of significance of correlations between weather parameters (temperature, humidity, rainfall, ultra violet radiation, wind speed) and COVID-19. The meta-analysis was performed by using ‘meta’ package in R studio. We found significant correlation between temperature (0.11 [95% CI 0.01–0.22], 0.22 [95% CI, 0.16–0.28] for fixed effect death rate and incidence, respectively), humidity (0.14 [95% CI 0.07–0.20] for fixed effect incidence) and wind speed (0.58 [95% CI 0.49–0.66] for fixed effect incidence) with the death rate and incidence of COVID-19 (p < 0.01). The study included 11 articles that carried extensive research work on more than 110 country-wise data set. Thus, we can show that weather can be considered as an important element regarding the correlation with COVID-19.
format article
author Poulami Majumder
Partha Pratim Ray
author_facet Poulami Majumder
Partha Pratim Ray
author_sort Poulami Majumder
title A systematic review and meta-analysis on correlation of weather with COVID-19
title_short A systematic review and meta-analysis on correlation of weather with COVID-19
title_full A systematic review and meta-analysis on correlation of weather with COVID-19
title_fullStr A systematic review and meta-analysis on correlation of weather with COVID-19
title_full_unstemmed A systematic review and meta-analysis on correlation of weather with COVID-19
title_sort systematic review and meta-analysis on correlation of weather with covid-19
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/978bfa5a0cd846c881fe9c424247dd75
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