Universidad Peruana Cayetano Heredia

A cross-sectional analysis of meteorological factors and SARS-CoV-2 transmission in 409 cities across 26 countries

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dc.contributor.author Sera, F.
dc.contributor.author Armstrong, B.
dc.contributor.author Abbott, S.
dc.contributor.author Meakin, S.
dc.contributor.author O’Reilly, K.
dc.contributor.author von Borries, R.
dc.contributor.author Schneider, R.
dc.contributor.author Royé, D.
dc.contributor.author Hashizume, M.
dc.contributor.author Pascal, M.
dc.contributor.author Tobias, A.
dc.contributor.author Vicedo-Cabrera, A.M.
dc.contributor.author Hu, W.
dc.contributor.author Tong, S.
dc.contributor.author Lavigne, E.
dc.contributor.author Correa, P.M.
dc.contributor.author Meng, X.
dc.contributor.author Kan, H.
dc.contributor.author Kynčl, J.
dc.contributor.author Urban, A.
dc.contributor.author Orru, H.
dc.contributor.author Ryti, N.R.I.
dc.contributor.author Jaakkola, J.J.K.
dc.contributor.author Cauchemez, S.
dc.contributor.author Dallavalle, M.
dc.contributor.author Schneider, A.
dc.contributor.author Zeka, A.
dc.contributor.author Honda, Y.
dc.contributor.author Ng, C.F.S.
dc.contributor.author Alahmad, B.
dc.contributor.author Rao, S.
dc.contributor.author Di Ruscio, F.
dc.contributor.author Carrasco Escobar, Gabriel
dc.contributor.author Seposo, X.
dc.contributor.author Holobâcă, I.H.
dc.contributor.author Kim, H.
dc.contributor.author Lee, W.
dc.contributor.author Íñiguez, C.
dc.contributor.author Ragettli, M.S.
dc.contributor.author Aleman, A.
dc.contributor.author Colistro, V.
dc.contributor.author Bell, M.L.
dc.contributor.author Zanobetti, A.
dc.contributor.author Schwartz, J.
dc.contributor.author Dang, T.N.
dc.contributor.author Scovronick, N.
dc.contributor.author de Sousa Zanotti Stagliorio Coélho, M.
dc.contributor.author Diaz, M.H.
dc.contributor.author Zhang, Y.
dc.contributor.author Russell, T.W.
dc.contributor.author Koltai, M.
dc.contributor.author Kucharski, A.J.
dc.contributor.author Barnard, R.C.
dc.contributor.author Quaife, M.
dc.contributor.author Jarvis, C.I.
dc.contributor.author Lei, J.
dc.contributor.author Munday, J.D.
dc.contributor.author Chan, Y.-W.D.
dc.contributor.author Quilty, B.J.
dc.contributor.author Eggo, R.M.
dc.contributor.author Flasche, S.
dc.contributor.author Foss, A.M.
dc.contributor.author Clifford, S.
dc.contributor.author Tully, D.C.
dc.contributor.author Edmunds, W.J.
dc.contributor.author Klepac, P.
dc.contributor.author Brady, O.
dc.contributor.author Krauer, F.
dc.contributor.author Procter, S.R.
dc.contributor.author Jombart, T.
dc.contributor.author Rosello, A.
dc.contributor.author Showering, A.
dc.contributor.author Funk, S.
dc.contributor.author Hellewell, J.
dc.contributor.author Sun, F.Y.
dc.contributor.author Endo, A.
dc.contributor.author Williams, J.
dc.contributor.author Gimma, A.
dc.contributor.author Waterlow, N.R.
dc.contributor.author Prem, K.
dc.contributor.author Bosse, N.I.
dc.contributor.author Gibbs, H.P.
dc.contributor.author Atkins, K.E.
dc.contributor.author Pearson, C.A.B.
dc.contributor.author Jafari, Y.
dc.contributor.author Villabona-Arenas, C.J.
dc.contributor.author Jit, M.
dc.contributor.author Nightingale, E.S.
dc.contributor.author Davies, N.G.
dc.contributor.author van Zandvoort, K.
dc.contributor.author Liu, Y.
dc.contributor.author Sandmann, F.G.
dc.contributor.author Waites, W.
dc.contributor.author Abbas, K.
dc.contributor.author Medley, G.
dc.contributor.author Knight, G.M.
dc.contributor.author Gasparrini, A.
dc.contributor.author Lowe, R.
dc.contributor.author MCC Collaborative Research Network
dc.contributor.author CMMID COVID-19 Working Group
dc.date.accessioned 2021-12-12T20:24:57Z
dc.date.available 2021-12-12T20:24:57Z
dc.date.issued 2021
dc.identifier.uri https://hdl.handle.net/20.500.12866/10261
dc.description.abstract There is conflicting evidence on the influence of weather on COVID-19 transmission. Our aim is to estimate weather-dependent signatures in the early phase of the pandemic, while controlling for socio-economic factors and non-pharmaceutical interventions. We identify a modest non-linear association between mean temperature and the effective reproduction number (Re) in 409 cities in 26 countries, with a decrease of 0.087 (95% CI: 0.025; 0.148) for a 10 °C increase. Early interventions have a greater effect on Re with a decrease of 0.285 (95% CI 0.223; 0.347) for a 5th - 95th percentile increase in the government response index. The variation in the effective reproduction number explained by government interventions is 6 times greater than for mean temperature. We find little evidence of meteorological conditions having influenced the early stages of local epidemics and conclude that population behaviour and government interventions are more important drivers of transmission en_US
dc.language.iso eng
dc.publisher Springer Nature
dc.relation.ispartofseries Nature Communications
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject COVID-19 en_US
dc.subject cross section en_US
dc.subject environmental factor en_US
dc.subject epidemic en_US
dc.subject parasite transmission en_US
dc.subject SARS coronavirus en_US
dc.subject severe acute respiratory syndrome en_US
dc.title A cross-sectional analysis of meteorological factors and SARS-CoV-2 transmission in 409 cities across 26 countries en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1038/s41467-021-25914-8
dc.relation.issn 2041-1723


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