Universidad Peruana Cayetano Heredia

The association of COVID-19 incidence with temperature, humidity, and UV radiation - A global multi-city analysis.

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dc.contributor.author Nottmeyer, Luise
dc.contributor.author Armstrong, Ben
dc.contributor.author Lowe, Rachel
dc.contributor.author Abbott, Sam
dc.contributor.author Meakin, Sophie
dc.contributor.author O'Reilly, Kathleen M.
dc.contributor.author von Borries, Rosa
dc.contributor.author Schneider, Rochelle
dc.contributor.author Roye, Dominic
dc.contributor.author Hashizume, Masahiro
dc.contributor.author Pascal, Mathilde
dc.contributor.author Tobias, Aurelio
dc.contributor.author Vicedo-Cabrera, Ana Maria
dc.contributor.author Lavigne, Eric
dc.contributor.author Correa, Patricia Matus
dc.contributor.author Ortega, Nicolas Valdes
dc.contributor.author Kyncl, Jan
dc.contributor.author Urban, Ales
dc.contributor.author Orru, Hans
dc.contributor.author Ryti, Niilo
dc.contributor.author Jaakkola, Jouni
dc.contributor.author Dallavalle, Marco
dc.contributor.author Schneider, Alexandra
dc.contributor.author Honda, Yasushi
dc.contributor.author Ng, Chris Fook Sheng
dc.contributor.author Alahmad, Barrak
dc.contributor.author Carrasco Escobar, Gabriel
dc.contributor.author Holobac, Iulian Horia
dc.contributor.author Kim, Ho
dc.contributor.author Lee, Whanhee
dc.contributor.author iniguez, Carmen
dc.contributor.author Bell, Michelle L.
dc.contributor.author Zanobetti, Antonella
dc.contributor.author Schwartz, Joel
dc.contributor.author Scovronick, Noah
dc.contributor.author Coelho, Micheline de Sousa Zanotti Stagliorio
dc.contributor.author Saldiva, Paulo Hilario Nascimento
dc.contributor.author Diaz, Magali Hurtado
dc.contributor.author Gasparrini, Antonio
dc.contributor.author Sera, Francesco
dc.coverage.spatial Brasil
dc.coverage.spatial Canadá
dc.coverage.spatial Chile
dc.coverage.spatial República Checa
dc.coverage.spatial Estonia
dc.coverage.spatial Finlandia
dc.coverage.spatial Francia
dc.coverage.spatial Alemania
dc.coverage.spatial Italia
dc.coverage.spatial Japón
dc.coverage.spatial Kuwait
dc.coverage.spatial México
dc.coverage.spatial Perú
dc.coverage.spatial Rumanía
dc.coverage.spatial Singapur
dc.coverage.spatial España
dc.coverage.spatial Sudáfrica
dc.coverage.spatial Corea del Sur
dc.coverage.spatial Reino Unido
dc.coverage.spatial Estados Unidos
dc.date.accessioned 2022-10-12T18:25:59Z
dc.date.available 2022-10-12T18:25:59Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/12394
dc.description.abstract Background and aim: The associations between COVID-19 transmission and meteorological factors are scientifically debated. Several studies have been conducted worldwide, with inconsistent findings. However, often these studies had methodological issues, e.g., did not exclude important confounding factors, or had limited geographic or temporal resolution. Our aim was to quantify associations between temporal variations in COVID-19 incidence and meteorological variables globally. Methods: We analysed data from 455 cities across 20 countries from 3 February to 31 October 2020. We used a time-series analysis that assumes a quasi-Poisson distribution of the cases and incorporates distributed lag non-linear modelling for the exposure associations at the city-level while considering effects of autocorrelation, long-term trends, and day of the week. The confounding by governmental measures was accounted for by incorporating the Oxford Governmental Stringency Index. The effects of daily mean air temperature, relative and absolute humidity, and UV radiation were estimated by applying a meta-regression of local estimates with multi-level random effects for location, country, and climatic zone. Results: We found that air temperature and absolute humidity influenced the spread of COVID-19 over a lag period of 15 days. Pooling the estimates globally showed that overall low temperatures (7.5 °C compared to 17.0 °C) and low absolute humidity (6.0 g/m3 compared to 11.0 g/m3) were associated with higher COVID-19 incidence (RR temp =1.33 with 95%CI: 1.08; 1.64 and RR AH =1.33 with 95%CI: 1.12; 1.57). RH revealed no significant trend and for UV some evidence of a positive association was found. These results were robust to sensitivity analysis. However, the study results also emphasise the heterogeneity of these associations in different countries. Conclusion: Globally, our results suggest that comparatively low temperatures and low absolute humidity were associated with increased risks of COVID-19 incidence. However, this study underlines regional heterogeneity of weather-related effects on COVID-19 transmission. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartofseries Science of the Total Environment
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Temperature en_US
dc.subject Humidity en_US
dc.subject UV radiation en_US
dc.subject COVID-19 en_US
dc.subject Distributed lag non-linear modelling en_US
dc.subject Global analysis en_US
dc.subject.mesh Temperature
dc.subject.mesh Humidity
dc.subject.mesh Ultraviolet Rays
dc.subject.mesh COVID-20
dc.title The association of COVID-19 incidence with temperature, humidity, and UV radiation - A global multi-city analysis. en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.scitotenv.2022.158636
dc.relation.issn 1879-1026


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