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Global evidence for ultraviolet radiation decreasing COVID-19 growth rates
With nearly every country combating the 2019 novel coronavirus (COVID-19), there is a need to understand how local environmental conditions may modify transmission. To date, quantifying seasonality of the disease has been limited by scarce data and the difficulty of isolating climatological variable...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817154/ https://www.ncbi.nlm.nih.gov/pubmed/33323525 http://dx.doi.org/10.1073/pnas.2012370118 |
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author | Carleton, Tamma Cornetet, Jules Huybers, Peter Meng, Kyle C. Proctor, Jonathan |
author_facet | Carleton, Tamma Cornetet, Jules Huybers, Peter Meng, Kyle C. Proctor, Jonathan |
author_sort | Carleton, Tamma |
collection | PubMed |
description | With nearly every country combating the 2019 novel coronavirus (COVID-19), there is a need to understand how local environmental conditions may modify transmission. To date, quantifying seasonality of the disease has been limited by scarce data and the difficulty of isolating climatological variables from other drivers of transmission in observational studies. We combine a spatially resolved dataset of confirmed COVID-19 cases, composed of 3,235 regions across 173 countries, with local environmental conditions and a statistical approach developed to quantify causal effects of environmental conditions in observational data settings. We find that ultraviolet (UV) radiation has a statistically significant effect on daily COVID-19 growth rates: a SD increase in UV lowers the daily growth rate of COVID-19 cases by [Formula: see text] 1 percentage point over the subsequent 2.5 wk, relative to an average in-sample growth rate of 13.2%. The time pattern of lagged effects peaks 9 to 11 d after UV exposure, consistent with the combined timescale of incubation, testing, and reporting. Cumulative effects of temperature and humidity are not statistically significant. Simulations illustrate how seasonal changes in UV have influenced regional patterns of COVID-19 growth rates from January to June, indicating that UV has a substantially smaller effect on the spread of the disease than social distancing policies. Furthermore, total COVID-19 seasonality has indeterminate sign for most regions during this period due to uncertain effects of other environmental variables. Our findings indicate UV exposure influences COVID-19 cases, but a comprehensive understanding of seasonality awaits further analysis. |
format | Online Article Text |
id | pubmed-7817154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-78171542021-01-28 Global evidence for ultraviolet radiation decreasing COVID-19 growth rates Carleton, Tamma Cornetet, Jules Huybers, Peter Meng, Kyle C. Proctor, Jonathan Proc Natl Acad Sci U S A Social Sciences With nearly every country combating the 2019 novel coronavirus (COVID-19), there is a need to understand how local environmental conditions may modify transmission. To date, quantifying seasonality of the disease has been limited by scarce data and the difficulty of isolating climatological variables from other drivers of transmission in observational studies. We combine a spatially resolved dataset of confirmed COVID-19 cases, composed of 3,235 regions across 173 countries, with local environmental conditions and a statistical approach developed to quantify causal effects of environmental conditions in observational data settings. We find that ultraviolet (UV) radiation has a statistically significant effect on daily COVID-19 growth rates: a SD increase in UV lowers the daily growth rate of COVID-19 cases by [Formula: see text] 1 percentage point over the subsequent 2.5 wk, relative to an average in-sample growth rate of 13.2%. The time pattern of lagged effects peaks 9 to 11 d after UV exposure, consistent with the combined timescale of incubation, testing, and reporting. Cumulative effects of temperature and humidity are not statistically significant. Simulations illustrate how seasonal changes in UV have influenced regional patterns of COVID-19 growth rates from January to June, indicating that UV has a substantially smaller effect on the spread of the disease than social distancing policies. Furthermore, total COVID-19 seasonality has indeterminate sign for most regions during this period due to uncertain effects of other environmental variables. Our findings indicate UV exposure influences COVID-19 cases, but a comprehensive understanding of seasonality awaits further analysis. National Academy of Sciences 2021-01-05 2020-12-28 /pmc/articles/PMC7817154/ /pubmed/33323525 http://dx.doi.org/10.1073/pnas.2012370118 Text en Copyright © 2021 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 | Social Sciences Carleton, Tamma Cornetet, Jules Huybers, Peter Meng, Kyle C. Proctor, Jonathan Global evidence for ultraviolet radiation decreasing COVID-19 growth rates |
title | Global evidence for ultraviolet radiation decreasing COVID-19 growth rates |
title_full | Global evidence for ultraviolet radiation decreasing COVID-19 growth rates |
title_fullStr | Global evidence for ultraviolet radiation decreasing COVID-19 growth rates |
title_full_unstemmed | Global evidence for ultraviolet radiation decreasing COVID-19 growth rates |
title_short | Global evidence for ultraviolet radiation decreasing COVID-19 growth rates |
title_sort | global evidence for ultraviolet radiation decreasing covid-19 growth rates |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817154/ https://www.ncbi.nlm.nih.gov/pubmed/33323525 http://dx.doi.org/10.1073/pnas.2012370118 |
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