Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19

Detalhes bibliográficos
Autor(a) principal: Souza Júnior, Sérgio André de
Data de Publicação: 2022
Outros Autores: Freitas, Pedro Victor Cabral de, Hamberger, Yohanna do Valle, Bisol, Luisa Weber, Souza, Fábio Gomes de Matos e
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/27616
Resumo: Background: Meteorological variables play a major role in the transmission of infectious diseases such as coronavirus disease 2019 (COVID-19). Objective: To analyze the correlation between climatic variables and COVID-19 deaths/cases. Methods: An exploratory-descriptive study based on secondary data on deaths, cases of COVID-19 and climatic variables from March 2020-May 2021 in Fortaleza, Brazil.  Data from the COVID-19 surveillance system of the Ministry of Health were used. The climatic indicators were extracted from the National Institute of Meteorology. The variables under study were temperature (minimum, mean and maximum in °C), relative air humidity (%), total precipitation (mm) and total daily insolation (h). Pearson's correlation and the linear regression model were used for statistical analysis. Correlations were considered significant when P ≤ 0.05 and a 95% confidence interval was adopted. Results: All meteorologic variables were correlated with deaths from COVID-19, temperature minimum (r = -0,126; P < 0,01), mean temperature (r = -0,146; P < 0,05), maximum temperature (r = -0,190; P < 0,001), insolation (r = -0,214; P < 0,001), precipitation (r = 0,216; P < 0,001) and relative humidity (r = 0,348; P < 0,001). In relation to the new cases of COVID-19, only maximum temperature (r = -0,116; P < 0,05), insolation (r = -0,141; P < 0,01) and relative humidity (r = 0,231; P < 0,001) were correlated are significantly. Conclusion:  There were significant correlations between meteorological variables and COVID-19 deaths/cases. It was found that meteorologic variables had the most influence on COVID-19 deaths. 
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spelling Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19Las bajas temperaturas, la alta humedad relativa y las mayores precipitaciones se asocian a un mayor número de muertes por COVID-19Baixa temperatura, alta umidade relativa e maior precipitação estão associadas a um maior número de mortes por COVID-19CoronavírusMeteorologiaPandemiasSARS-CoV-2Climate.CoronavirusMeteorologyPandemicsSARS-CoV-2Clima. PandemiasSARS-CoV-2CoronavirusMeteorologíaClima.Background: Meteorological variables play a major role in the transmission of infectious diseases such as coronavirus disease 2019 (COVID-19). Objective: To analyze the correlation between climatic variables and COVID-19 deaths/cases. Methods: An exploratory-descriptive study based on secondary data on deaths, cases of COVID-19 and climatic variables from March 2020-May 2021 in Fortaleza, Brazil.  Data from the COVID-19 surveillance system of the Ministry of Health were used. The climatic indicators were extracted from the National Institute of Meteorology. The variables under study were temperature (minimum, mean and maximum in °C), relative air humidity (%), total precipitation (mm) and total daily insolation (h). Pearson's correlation and the linear regression model were used for statistical analysis. Correlations were considered significant when P ≤ 0.05 and a 95% confidence interval was adopted. Results: All meteorologic variables were correlated with deaths from COVID-19, temperature minimum (r = -0,126; P < 0,01), mean temperature (r = -0,146; P < 0,05), maximum temperature (r = -0,190; P < 0,001), insolation (r = -0,214; P < 0,001), precipitation (r = 0,216; P < 0,001) and relative humidity (r = 0,348; P < 0,001). In relation to the new cases of COVID-19, only maximum temperature (r = -0,116; P < 0,05), insolation (r = -0,141; P < 0,01) and relative humidity (r = 0,231; P < 0,001) were correlated are significantly. Conclusion:  There were significant correlations between meteorological variables and COVID-19 deaths/cases. It was found that meteorologic variables had the most influence on COVID-19 deaths. Introducción: Las variables meteorológicas desempeñan un papel importante en la transmisión de enfermedades infecciosas como la enfermedad por coronavirus 2019 (COVID-19). Objetivo: Analizar la correlación entre las variables meteorológicas y las muertes/casos diarios de COVID-19. Metodología: Estudio exploratorio-descriptivo basado en datos secundarios sobre muertes, casos de COVID-19 y variables climáticas de marzo de 2020 a mayo de 2021 en Fortaleza, Brasil. Se utilizaron datos del sistema de vigilancia COVID-19 del Ministerio de Sanidad. Los indicadores climáticos se extrajeron del Instituto Nacional de Meteorología. Las variables estudiadas fueron la temperatura (mínima, media y máxima en °C), la humedad relativa (%), la precipitación total (mm) y la insolación diaria total (h). Para el análisis estadístico se utilizaron la correlación de Pearson y el modelo de regresión lineal. Las correlaciones se consideraron significativas cuando P ≤ 0,05 y se adoptó un intervalo de confianza del 95%. Resultados: Todas las variables meteorológicas estaban correlacionadas con las muertes por COVID-19, la temperatura mínima (r = -0,126; P < 0,01), la temperatura media (r = -0,146; P < 0,05), la temperatura máxima (r = -0,190; P < 0,001), la insolación (r = -0,214; P < 0,001), las precipitaciones (r = 0,216; P < 0,001) y la humedad relativa (r = 0,348; P < 0,001). En cuanto a los nuevos casos de COVID-19, sólo la temperatura máxima (r = -0,116; P < 0,05), la insolación (r = -0,141; P < 0,01) y la humedad relativa (r = 0,231; P < 0,001) estaban significativamente correlacionadas. Conclusión: Hubo correlaciones significativas entre las variables meteorológicas y las muertes/casos diarios de COVID-19. Se comprobó que las variables meteorológicas fueron las que más influyeron en las muertes por COVID-19.Introdução:  As variáveis meteorológicas desempenham um papel importante na transmissão de doenças infecciosas como a doença pelo coronavírus 2019 (COVID-19). Objetivo: Analisar a correlação entre as variáveis climáticas e os óbitos/casos diários da COVID-19. Metodologia: Um estudo exploratório-descritivo baseado em dados secundários sobre óbitos, casos de COVID-19 e variáveis climáticas de março de 2020 a maio de 2021 em Fortaleza, Brasil. Foram utilizados dados do sistema de vigilância da COVID-19 do Ministério da Saúde. Os indicadores climáticos foram extraídos do Instituto Nacional de Meteorologia. As variáveis em estudo foram temperatura (mínima, média e máxima em °C), umidade relativa do ar (%), precipitação total (mm) e insolação total diária (h). A correlação de Pearson e o modelo de regressão linear foram utilizados para análise estatística. As correlações foram consideradas significativas quando P ≤ 0,05 e um intervalo de confiança de 95% foi adotado. Resultados: Todas as variáveis meteorológicas foram correlacionadas com óbitos por COVID-19, temperatura mínima (r = -0,126; P < 0,01), temperatura média (r = -0,146; P < 0,05), temperatura máxima (r = -0,190; P < 0,001), insolação (r = -0,214; P < 0,001), precipitação (r = 0,216; P < 0,001) e umidade relativa do ar (r = 0,348; P < 0,001). Em relação aos novos casos de COVID-19, apenas a temperatura máxima (r = -0,116; P < 0,05), insolação (r = -0,141; P < 0,01) e umidade relativa do ar (r = 0,231; P < 0,001) foram correlacionadas de forma significativa. Conclusão:  Houve correlações significativas entre as variáveis meteorológicas e os casos de óbitos/casos diários de COVID-19. Verificou-se que as variáveis meteorológicas tiveram a maior influência nos óbitos decorrentes da COVID-19.Research, Society and Development2022-03-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2761610.33448/rsd-v11i4.27616Research, Society and Development; Vol. 11 No. 4; e49111427616Research, Society and Development; Vol. 11 Núm. 4; e49111427616Research, Society and Development; v. 11 n. 4; e491114276162525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/27616/24126Copyright (c) 2022 Sérgio André de Souza Júnior; Pedro Victor Cabral de Freitas; Yohanna do Valle Hamberger; Luisa Weber Bisol; Fábio Gomes de Matos e Souzahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSouza Júnior, Sérgio André de Freitas, Pedro Victor Cabral de Hamberger, Yohanna do Valle Bisol, Luisa Weber Souza, Fábio Gomes de Matos e 2022-03-27T17:17:09Zoai:ojs.pkp.sfu.ca:article/27616Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:45:17.493545Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
Las bajas temperaturas, la alta humedad relativa y las mayores precipitaciones se asocian a un mayor número de muertes por COVID-19
Baixa temperatura, alta umidade relativa e maior precipitação estão associadas a um maior número de mortes por COVID-19
title Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
spellingShingle Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
Souza Júnior, Sérgio André de
Coronavírus
Meteorologia
Pandemias
SARS-CoV-2
Climate.
Coronavirus
Meteorology
Pandemics
SARS-CoV-2
Clima.
Pandemias
SARS-CoV-2
Coronavirus
Meteorología
Clima.
title_short Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
title_full Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
title_fullStr Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
title_full_unstemmed Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
title_sort Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
author Souza Júnior, Sérgio André de
author_facet Souza Júnior, Sérgio André de
Freitas, Pedro Victor Cabral de
Hamberger, Yohanna do Valle
Bisol, Luisa Weber
Souza, Fábio Gomes de Matos e
author_role author
author2 Freitas, Pedro Victor Cabral de
Hamberger, Yohanna do Valle
Bisol, Luisa Weber
Souza, Fábio Gomes de Matos e
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Souza Júnior, Sérgio André de
Freitas, Pedro Victor Cabral de
Hamberger, Yohanna do Valle
Bisol, Luisa Weber
Souza, Fábio Gomes de Matos e
dc.subject.por.fl_str_mv Coronavírus
Meteorologia
Pandemias
SARS-CoV-2
Climate.
Coronavirus
Meteorology
Pandemics
SARS-CoV-2
Clima.
Pandemias
SARS-CoV-2
Coronavirus
Meteorología
Clima.
topic Coronavírus
Meteorologia
Pandemias
SARS-CoV-2
Climate.
Coronavirus
Meteorology
Pandemics
SARS-CoV-2
Clima.
Pandemias
SARS-CoV-2
Coronavirus
Meteorología
Clima.
description Background: Meteorological variables play a major role in the transmission of infectious diseases such as coronavirus disease 2019 (COVID-19). Objective: To analyze the correlation between climatic variables and COVID-19 deaths/cases. Methods: An exploratory-descriptive study based on secondary data on deaths, cases of COVID-19 and climatic variables from March 2020-May 2021 in Fortaleza, Brazil.  Data from the COVID-19 surveillance system of the Ministry of Health were used. The climatic indicators were extracted from the National Institute of Meteorology. The variables under study were temperature (minimum, mean and maximum in °C), relative air humidity (%), total precipitation (mm) and total daily insolation (h). Pearson's correlation and the linear regression model were used for statistical analysis. Correlations were considered significant when P ≤ 0.05 and a 95% confidence interval was adopted. Results: All meteorologic variables were correlated with deaths from COVID-19, temperature minimum (r = -0,126; P < 0,01), mean temperature (r = -0,146; P < 0,05), maximum temperature (r = -0,190; P < 0,001), insolation (r = -0,214; P < 0,001), precipitation (r = 0,216; P < 0,001) and relative humidity (r = 0,348; P < 0,001). In relation to the new cases of COVID-19, only maximum temperature (r = -0,116; P < 0,05), insolation (r = -0,141; P < 0,01) and relative humidity (r = 0,231; P < 0,001) were correlated are significantly. Conclusion:  There were significant correlations between meteorological variables and COVID-19 deaths/cases. It was found that meteorologic variables had the most influence on COVID-19 deaths. 
publishDate 2022
dc.date.none.fl_str_mv 2022-03-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/27616
10.33448/rsd-v11i4.27616
url https://rsdjournal.org/index.php/rsd/article/view/27616
identifier_str_mv 10.33448/rsd-v11i4.27616
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/27616/24126
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 4; e49111427616
Research, Society and Development; Vol. 11 Núm. 4; e49111427616
Research, Society and Development; v. 11 n. 4; e49111427616
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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