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Sera, F.* ; Armstrong, B.* ; Abbott, S.* ; Meakin, S.* ; O’Reilly, K.* ; von Borries, R.* ; Schneider, R.* ; Royé, D.* ; Hashizume, M.* ; Pascal, M.* ; Tobias, A.* ; Vicedo-Cabrera, A.M.* ; MCC Collaborative Research Network (Dallavalle, M.) ; MCC Collaborative Research Network (Schneider, A.E.) ; Gasparrini, A.* ; Lowe, R.*

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

Nat. Commun. 12:5968 (2021)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 12, Heft: 1, Seiten: , Artikelnummer: 5968 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Förderungen NINDS NIH HHS
NIEHS NIH HHS
Medical Research Council
Wellcome Trust