Seasonality and uncertainty in global COVID-19 growth rates.

Proc Natl Acad Sci U S A

Center of Biological Risk, University of Connecticut, Storrs, CT 06268.

Published: November 2020

AI Article Synopsis

  • The COVID-19 virus has spread globally and poses a significant threat to public health, with uncertain effects of summer weather on its transmission.
  • Early research suggests weather factors like higher temperatures, humidity, and UV light could lower infection rates, indicating a potential seasonal decline.
  • Models indicate COVID-19 growth is influenced by weather and other demographic factors, predicting a temporary decrease in cases during summer, but a rebound is expected in autumn and peak numbers by next winter without strong social interventions.

Article Abstract

The virus causing COVID-19 has spread rapidly worldwide and threatens millions of lives. It remains unknown, as of April 2020, whether summer weather will reduce its spread, thereby alleviating strains on hospitals and providing time for vaccine development. Early insights from laboratory studies and research on related viruses predicted that COVID-19 would decline with higher temperatures, humidity, and ultraviolet (UV) light. Using current, fine-scaled weather data and global reports of infections, we develop a model that explains 36% of the variation in maximum COVID-19 growth rates based on weather and demography (17%) and country-specific effects (19%). UV light is most strongly associated with lower COVID-19 growth. Projections suggest that, without intervention, COVID-19 will decrease temporarily during summer, rebound by autumn, and peak next winter. Validation based on data from May and June 2020 confirms the generality of the climate signal detected. However, uncertainty remains high, and the probability of weekly doubling rates remains >20% throughout summer in the absence of social interventions. Consequently, aggressive interventions will likely be needed despite seasonal trends.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959558PMC
http://dx.doi.org/10.1073/pnas.2008590117DOI Listing

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