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Seasonality and uncertainty in global COVID-19 growth rates

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 an...

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Autores principales: Merow, Cory, Urban, Mark C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959558/
https://www.ncbi.nlm.nih.gov/pubmed/33051302
http://dx.doi.org/10.1073/pnas.2008590117
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author Merow, Cory
Urban, Mark C.
author_facet Merow, Cory
Urban, Mark C.
author_sort Merow, Cory
collection PubMed
description 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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spelling pubmed-79595582021-03-22 Seasonality and uncertainty in global COVID-19 growth rates Merow, Cory Urban, Mark C. Proc Natl Acad Sci U S A Biological Sciences 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. National Academy of Sciences 2020-11-03 2020-10-13 /pmc/articles/PMC7959558/ /pubmed/33051302 http://dx.doi.org/10.1073/pnas.2008590117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Merow, Cory
Urban, Mark C.
Seasonality and uncertainty in global COVID-19 growth rates
title Seasonality and uncertainty in global COVID-19 growth rates
title_full Seasonality and uncertainty in global COVID-19 growth rates
title_fullStr Seasonality and uncertainty in global COVID-19 growth rates
title_full_unstemmed Seasonality and uncertainty in global COVID-19 growth rates
title_short Seasonality and uncertainty in global COVID-19 growth rates
title_sort seasonality and uncertainty in global covid-19 growth rates
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959558/
https://www.ncbi.nlm.nih.gov/pubmed/33051302
http://dx.doi.org/10.1073/pnas.2008590117
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