Warmer weather unlikely to reduce the COVID-19 transmission: an ecological study in 202 locations in 8 countries

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Autor(es): dc.creatorPan, Jinhua-
Autor(es): dc.creatorYao, Ye-
Autor(es): dc.creatorLiu, Zhixi-
Autor(es): dc.creatorMeng, Xia-
Autor(es): dc.creatorJi, John S.-
Autor(es): dc.creatorQiu, Yang-
Autor(es): dc.creatorWang, Weidong-
Autor(es): dc.creatorZhang, Lina-
Autor(es): dc.creatorWang, Weibing-
Autor(es): dc.creatorKan, Haidong-
Data de aceite: dc.date.accessioned2026-02-09T11:32:44Z-
Data de disponibilização: dc.date.available2026-02-09T11:32:44Z-
Data de envio: dc.date.issued2020-11-05-
Data de envio: dc.date.issued2020-11-05-
Data de envio: dc.date.issued2020-12-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/45386-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0048969720358010-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1142219-
Descrição: dc.descriptionPurpose To examine the association between meteorological factors (temperature, relative humidity, wind speed, and UV radiation) and transmission capacity of COVID-19. Methods We collected daily numbers of COVID-19 cases in 202 locations in 8 countries. We matched meteorological data from the NOAA National Centers for Environmental Information. We used a time-frequency approach to examine the possible association between meteorological conditions and basic reproductive number (R0) of COVID-19. We determined the correlations between meteorological factors and R0 of COVID-19 using multiple linear regression models and meta-analysis. We further validated our results using a susceptible-exposed-infectious-recovered (SEIR) metapopulation model to simulate the changes of daily cases of COVID-19 in China under different temperatures and relative humidity conditions. Principal results Temperature did not exhibit significant association with R0 of COVID-19 (meta p = 0.446). Also, relative humidity (meta p = 0.215), wind speed (meta p = 0.986), and ultraviolet (UV) radiation (meta p = 0.491) were not significantly associated with R0 either. The SEIR model in China showed that with a wide range of meteorological conditions, the number of COVID-19 confirmed cases would not change substantially. Conclusions Meteorological conditions did not have statistically significant associations with the R0 of COVID-19. Warmer weather alone seems unlikely to reduce the COVID-19 transmission.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceScience of The Total Environment-
Palavras-chave: dc.subjectSevere Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)-
Palavras-chave: dc.subjectMeteorological factors-
Palavras-chave: dc.subjectTemperature-
Palavras-chave: dc.subjectUltraviolet radiation-
Título: dc.titleWarmer weather unlikely to reduce the COVID-19 transmission: an ecological study in 202 locations in 8 countries-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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