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Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria.


ABSTRACT: The drivers behind regional differences of SARS-CoV-2 spread on finer spatio-temporal scales are yet to be fully understood. Here we develop a data-driven modelling approach based on an age-structured compartmental model that compares 116 Austrian regions to a suitably chosen control set of regions to explain variations in local transmission rates through a combination of meteorological factors, non-pharmaceutical interventions and mobility. We find that more than 60% of the observed regional variations can be explained by these factors. Decreasing temperature and humidity, increasing cloudiness, precipitation and the absence of mitigation measures for public events are the strongest drivers for increased virus transmission, leading in combination to a doubling of the transmission rates compared to regions with more favourable weather. We conjecture that regions with little mitigation measures for large events that experience shifts toward unfavourable weather conditions are particularly predisposed as nucleation points for the next seasonal SARS-CoV-2 waves.

SUBMITTER: Ledebur K 

PROVIDER: S-EPMC9009775 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria.

Ledebur Katharina K   Kaleta Michaela M   Chen Jiaying J   Lindner Simon D SD   Matzhold Caspar C   Weidle Florian F   Wittmann Christoph C   Habimana Katharina K   Kerschbaumer Linda L   Stumpfl Sophie S   Heiler Georg G   Bicher Martin M   Popper Nikolas N   Bachner Florian F   Klimek Peter P  

PLoS computational biology 20220404 4


The drivers behind regional differences of SARS-CoV-2 spread on finer spatio-temporal scales are yet to be fully understood. Here we develop a data-driven modelling approach based on an age-structured compartmental model that compares 116 Austrian regions to a suitably chosen control set of regions to explain variations in local transmission rates through a combination of meteorological factors, non-pharmaceutical interventions and mobility. We find that more than 60% of the observed regional va  ...[more]

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