Meteorological factors, population immunity, and COVID-19 incidence A global multi-city analysis

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dc.coverageDOI: 10.1097/EE9.0000000000000338
dc.creatorFeurer, Denise
dc.creatorRiffe, Tim
dc.creatorKniffka, Maxi Stella
dc.creatorAcosta, Enrique
dc.creatorArmstrong, Ben
dc.creatorMistry, Malcolm
dc.creatorLowe, Rachel
dc.creatorRoyé, Dominic
dc.creatorHashizume, Masahiro
dc.creatorMadaniyazi, Lina
dc.creatorNg, Chris Fook Sheng
dc.creatorTobias, Aurelio
dc.creatorÍñiguez, Carmen
dc.creatorVicedo-Cabrera, Ana Maria
dc.creatorRagettli, Martina S.
dc.creatorLavigne, Eric
dc.creatorCorrea, Patricia Matus
dc.creatorOrtega, Nicolás Valdés
dc.creatorKyselý, Jan
dc.creatorUrban, Aleš
dc.creatorOrru, Hans
dc.creatorIndermitte, Ene
dc.creatorMaasikmets, Marek
dc.creatorDallavalle, Marco
dc.creatorSchneider, Alexandra
dc.creatorHonda, Yasushi
dc.creatorAlahmad, Barrak
dc.creatorZanobetti, Antonella
dc.creatorSchwartz, Joel
dc.creatorCarrasco, Gabriel
dc.creatorHolobâca, Iulian Horia
dc.creatorKim, Ho
dc.creatorLee, Whanhee
dc.creatorBell, Michelle L.
dc.creatorScovronick, Noah
dc.creatorAcquaotta, Fiorella
dc.creatorCoélho, Micheline de Sousa Zanotti Stagliorio
dc.creatorDiaz, Magali Hurtado
dc.creatorArellano, Eunice Elizabeth Félix
dc.creatorMichelozzi, Paola
dc.creatorStafoggia, Massimo
dc.creatorde’Donato, Francesca
dc.creatorRao, Shilpa
dc.creatorDi Ruscio, Francesco
dc.creatorSeposo, Xerxes
dc.creatorGuo, Yuming
dc.creatorTong, Shilu
dc.creatorMasselot, Pierre
dc.creatorGasparrini, Antonio
dc.creatorSera, Francesco
dc.date2024
dc.date.accessioned2025-11-18T19:51:02Z
dc.date.available2025-11-18T19:51:02Z
dc.description<p>Objectives: While COVID-19 continues to challenge the world, meteorological variables are thought to impact COVID-19 transmission. Previous studies showed evidence of negative associations between high temperature and absolute humidity on COVID-19 transmission. Our research aims to fill the knowledge gap on the modifying effect of vaccination rates and strains on the weather-COVID-19 association. Methods: Our study included COVID-19 data from 439 cities in 22 countries spanning 3 February 2020 – 31 August 2022 and meteorological variables (temperature, relative humidity, absolute humidity, solar radiation, and precipitation). We used a two-stage time-series design to assess the association between meteorological factors and COVID-19 incidence. For the exposure modeling, we used distributed lag nonlinear models with a lag of up to 14 days. Finally, we pooled the estimates using a random effect meta-analytic model and tested vaccination rates and dominant strains as possible effect modifiers. Results: Our results showed an association between temperature and absolute humidity on COVID-19 transmission. At 5 °C, the relative risk of COVID-19 incidence is 1.22-fold higher compared to a reference level at 17 °C. Correlated with temperature, we observed an inverse association for absolute humidity. We observed a tendency of increased risk on days without precipitation, but no association for relative humidity and solar radiation. No interaction between vaccination rates or strains on the weather-COVID-19 association was observed. Conclusions: This study strengthens previous evidence of a relationship of temperature and absolute humidity with COVID-19 incidence. Furthermore, no evidence was found that vaccinations and strains significantly modify the relationship between environmental factors and COVID-19 transmission.</p>eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/e631731f-94be-499b-9832-f23b4c2e2bd5
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/56937
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcevol.8 (2024) date: 2024-11-11 nr.6 p.e338
dc.subjectCOVID-19
dc.subjectDistributed lag nonlinear models
dc.subjectHumidity
dc.subjectMulti-Country Multi-City Collaborative Research Network
dc.subjectPrecipitation
dc.subjectSolar radiation
dc.subjectTemperature
dc.subjectTime-series design
dc.subjectSDG 3 - Good Health and Well-being
dc.subjectSDG 11 - Sustainable Cities and Communities
dc.titleMeteorological factors, population immunity, and COVID-19 incidence A global multi-city analysiseng
dc.typeArticleeng
dc.typeArtículospa
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