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

@article{Ledebur2022MeteorologicalFA,
  title={Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria},
  author={Katharina Ledebur and Michaela Kaleta and Jiaying Chen and Simon Lindner and Caspar Matzhold and Florian Weidle and Christoph Wittmann and Katharina Habimana and Linda Kerschbaumer and Sophie Stumpfl and Georg Heiler and Martin Bicher and Nikolas Popper and Florian Bachner and Peter Klimek},
  journal={PLoS Computational Biology},
  year={2022},
  volume={18}
}
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… 
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References

SHOWING 1-10 OF 52 REFERENCES

Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions

It is shown that summer weather cannot be considered a substitute for mitigation policies, but that lower autumn and winter temperatures may lead to an increase in transmission intensity in the absence of policy interventions or behavioral changes, and that lower temperatures and higher population densities are correlated with increased SARS-CoV-2 transmission.

Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China

Warmer weather unlikely to reduce the COVID-19 transmission: An ecological study in 202 locations in 8 countries

A spatio-temporal analysis for exploring the effect of temperature on COVID-19 early evolution in Spain

Revealing fine-scale spatiotemporal differences in SARS-CoV-2 introduction and spread

Analysis of 247 full-genome SARS-CoV-2 sequences from two nearby communities in Wisconsin, USA finds surprisingly distinct patterns of viral spread, which suggest patterns of Sars-Cov-2 transmission may vary substantially even in nearby communities.

Meteorological factors and COVID-19 incidence in 190 countries: An observational study

  • Cui GuoY. Bo X. Lao
  • Environmental Science
    Science of The Total Environment
  • 2020

The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories

The effectiveness of school closure and internal movement restrictions appears robust across different model specifications, with some evidence that other NPIs may also be effective under particular conditions, as well as temporal clustering between many of the NPIs.

Nonlinear modulation of COVID‐19 transmission by climate conditions

COVID‐19 is spreading rapidly worldwide, posing great threats to public health and economy. This study aims to examine how the transmission of COVID‐19 is modulated by climate conditions, which is of…

Increasing Temperature and Relative Humidity Accelerates Inactivation of SARS-CoV-2 on Surfaces

The effects of relative humidity, temperature, and droplet size on the stability of SARS-CoV-2 in a simulated clinically relevant matrix dried on nonporous surfaces suggest that a potential for fomite transmission may persist for hours to days in indoor environments and have implications for assessment of the risk posed by surface contamination in indoors environments.

Association of COVID-19 pandemic with meteorological parameters over Singapore

...