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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)
Publ. Version/Full Text 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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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Quellenangaben Volume: 12, Issue: 1, Pages: , Article Number: 5968 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Non-patent literature Publications
Reviewing status Peer reviewed
Grants NINDS NIH HHS
NIEHS NIH HHS
Medical Research Council
Wellcome Trust