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

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.

Bibliographic Details

Main Authors:	Sera, Francesco, Armstrong, Ben, Abbott, Sam, Meakin, Sophie, O'Reilly, Kathleen, von Borries, Rosa, Schneider, Rochelle, Royé, Dominic, Hashizume, Masahiro, Pascal, Mathilde, Tobías, Aurelio, Vicedo-Cabrera, Ana Maria, Gasparrini, Antonio, Lowe, Rachel
Other Authors:	European Commission
Format:	artículo biblioteca
Language:	English
Published:	Nature Publishing Group 2021-10-13
Subjects:	Climate sciences, Epidemiology, Risk factors, SARS-CoV-2, http://metadata.un.org/sdg/13, Take urgent action to combat climate change and its impacts,
Online Access:	http://hdl.handle.net/10261/255587 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85117746442
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