Low temperature, high relative humidity and higher precipitation are associated with a higher number of deaths from COVID-19
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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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1797052764308635648 |