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A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels

The Covid-19 pandemic has required nonpharmaceutical interventions, primarily physical distancing, personal hygiene and face mask use, to limit community transmission, irrespective of seasons. In fact, the seasonality attributes of this pandemic remain one of its biggest unknowns. Early studies base...

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Autores principales: Karapiperis, Christos, Kouklis, Panos, Papastratos, Stelios, Chasapi, Anastasia, Danchin, Antoine, Angelis, Lefteris, Ouzounis, Christos A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067063/
https://www.ncbi.nlm.nih.gov/pubmed/33805449
http://dx.doi.org/10.3390/v13040574
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author Karapiperis, Christos
Kouklis, Panos
Papastratos, Stelios
Chasapi, Anastasia
Danchin, Antoine
Angelis, Lefteris
Ouzounis, Christos A.
author_facet Karapiperis, Christos
Kouklis, Panos
Papastratos, Stelios
Chasapi, Anastasia
Danchin, Antoine
Angelis, Lefteris
Ouzounis, Christos A.
author_sort Karapiperis, Christos
collection PubMed
description The Covid-19 pandemic has required nonpharmaceutical interventions, primarily physical distancing, personal hygiene and face mask use, to limit community transmission, irrespective of seasons. In fact, the seasonality attributes of this pandemic remain one of its biggest unknowns. Early studies based on past experience from respiratory diseases focused on temperature or humidity, with disappointing results. Our hypothesis that ultraviolet (UV) radiation levels might be a factor and a more appropriate parameter has emerged as an alternative to assess seasonality and exploit it for public health policies. Using geographical, socioeconomic and epidemiological criteria, we selected twelve North-equatorial-South countries with similar characteristics. We then obtained UV levels, mobility and Covid-19 daily incidence rates for nearly the entire 2020. Using machine learning, we demonstrated that UV radiation strongly associated with incidence rates, more so than mobility did, indicating that UV is a key seasonality indicator for Covid-19, irrespective of the initial conditions of the epidemic. Our findings can inform the implementation of public health emergency measures, partly based on seasons in the Northern and Southern Hemispheres, as the pandemic unfolds into 2021.
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spelling pubmed-80670632021-04-25 A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels Karapiperis, Christos Kouklis, Panos Papastratos, Stelios Chasapi, Anastasia Danchin, Antoine Angelis, Lefteris Ouzounis, Christos A. Viruses Article The Covid-19 pandemic has required nonpharmaceutical interventions, primarily physical distancing, personal hygiene and face mask use, to limit community transmission, irrespective of seasons. In fact, the seasonality attributes of this pandemic remain one of its biggest unknowns. Early studies based on past experience from respiratory diseases focused on temperature or humidity, with disappointing results. Our hypothesis that ultraviolet (UV) radiation levels might be a factor and a more appropriate parameter has emerged as an alternative to assess seasonality and exploit it for public health policies. Using geographical, socioeconomic and epidemiological criteria, we selected twelve North-equatorial-South countries with similar characteristics. We then obtained UV levels, mobility and Covid-19 daily incidence rates for nearly the entire 2020. Using machine learning, we demonstrated that UV radiation strongly associated with incidence rates, more so than mobility did, indicating that UV is a key seasonality indicator for Covid-19, irrespective of the initial conditions of the epidemic. Our findings can inform the implementation of public health emergency measures, partly based on seasons in the Northern and Southern Hemispheres, as the pandemic unfolds into 2021. MDPI 2021-03-29 /pmc/articles/PMC8067063/ /pubmed/33805449 http://dx.doi.org/10.3390/v13040574 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Karapiperis, Christos
Kouklis, Panos
Papastratos, Stelios
Chasapi, Anastasia
Danchin, Antoine
Angelis, Lefteris
Ouzounis, Christos A.
A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels
title A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels
title_full A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels
title_fullStr A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels
title_full_unstemmed A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels
title_short A Strong Seasonality Pattern for Covid-19 Incidence Rates Modulated by UV Radiation Levels
title_sort strong seasonality pattern for covid-19 incidence rates modulated by uv radiation levels
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067063/
https://www.ncbi.nlm.nih.gov/pubmed/33805449
http://dx.doi.org/10.3390/v13040574
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