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COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection
Short-term exposure to air pollution, as well as to climate variables have been linked to a higher incidence of respiratory viral diseases. The study aims to assess the short-term influence of air pollution and climate on COVID19 incidence in Lombardy (Italy), during the early stage of the outbreak,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078046/ https://www.ncbi.nlm.nih.gov/pubmed/33930404 http://dx.doi.org/10.1016/j.envres.2021.111197 |
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author | Stufano, Angela Lisco, Stefania Bartolomeo, Nicola Marsico, Antonella Lucchese, Guglielmo Jahantigh, Hamidreza Soleo, Leonardo Moretti, Massimo Trerotoli, Paolo De Palma, Giuseppe Lovreglio, Piero |
author_facet | Stufano, Angela Lisco, Stefania Bartolomeo, Nicola Marsico, Antonella Lucchese, Guglielmo Jahantigh, Hamidreza Soleo, Leonardo Moretti, Massimo Trerotoli, Paolo De Palma, Giuseppe Lovreglio, Piero |
author_sort | Stufano, Angela |
collection | PubMed |
description | Short-term exposure to air pollution, as well as to climate variables have been linked to a higher incidence of respiratory viral diseases. The study aims to assess the short-term influence of air pollution and climate on COVID19 incidence in Lombardy (Italy), during the early stage of the outbreak, before the implementation of the lockdown measures. The daily number of COVID19 cases in Lombardy from February 25th to March 10th(,) 2020, and the daily average concentrations up to 15 days before the study period of particulate matter (PM(10), PM(2.5)), O(3), SO(2,) and NO(2) together with climate variables (temperature, relative humidity – RH%, wind speed, precipitation), were analyzed. A univariable mixed model with a logarithm transformation as link function was applied for each day, from 15 days (lag15) to one day (lag1) before the day of detected cases, to evaluate the effect of each variable. Additionally, change points (Break Points-BP) in the relationship between incident cases and air pollution or climatic factors were estimated. The results did not show a univocal relationship between air quality or climate factors and COVID19 incidence. PM(10), PM(2.5) and O(3) concentrations in the last lags seem to be related to an increased COVID19 incidence, probably due to an increased susceptibility of the host. In addition, low temperature and low wind speed in some lags resulted associated with increased daily COVID19 incidence. The findings observed suggest that these factors, in particular conditions and lags, may increase individual susceptibility to the development of viral infections such as SARS-CoV-2. |
format | Online Article Text |
id | pubmed-8078046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80780462021-04-28 COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection Stufano, Angela Lisco, Stefania Bartolomeo, Nicola Marsico, Antonella Lucchese, Guglielmo Jahantigh, Hamidreza Soleo, Leonardo Moretti, Massimo Trerotoli, Paolo De Palma, Giuseppe Lovreglio, Piero Environ Res Article Short-term exposure to air pollution, as well as to climate variables have been linked to a higher incidence of respiratory viral diseases. The study aims to assess the short-term influence of air pollution and climate on COVID19 incidence in Lombardy (Italy), during the early stage of the outbreak, before the implementation of the lockdown measures. The daily number of COVID19 cases in Lombardy from February 25th to March 10th(,) 2020, and the daily average concentrations up to 15 days before the study period of particulate matter (PM(10), PM(2.5)), O(3), SO(2,) and NO(2) together with climate variables (temperature, relative humidity – RH%, wind speed, precipitation), were analyzed. A univariable mixed model with a logarithm transformation as link function was applied for each day, from 15 days (lag15) to one day (lag1) before the day of detected cases, to evaluate the effect of each variable. Additionally, change points (Break Points-BP) in the relationship between incident cases and air pollution or climatic factors were estimated. The results did not show a univocal relationship between air quality or climate factors and COVID19 incidence. PM(10), PM(2.5) and O(3) concentrations in the last lags seem to be related to an increased COVID19 incidence, probably due to an increased susceptibility of the host. In addition, low temperature and low wind speed in some lags resulted associated with increased daily COVID19 incidence. The findings observed suggest that these factors, in particular conditions and lags, may increase individual susceptibility to the development of viral infections such as SARS-CoV-2. Elsevier Inc. 2021-07 2021-04-27 /pmc/articles/PMC8078046/ /pubmed/33930404 http://dx.doi.org/10.1016/j.envres.2021.111197 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Stufano, Angela Lisco, Stefania Bartolomeo, Nicola Marsico, Antonella Lucchese, Guglielmo Jahantigh, Hamidreza Soleo, Leonardo Moretti, Massimo Trerotoli, Paolo De Palma, Giuseppe Lovreglio, Piero COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection |
title | COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection |
title_full | COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection |
title_fullStr | COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection |
title_full_unstemmed | COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection |
title_short | COVID19 outbreak in Lombardy, Italy: An analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to SARS-CoV-2 infection |
title_sort | covid19 outbreak in lombardy, italy: an analysis on the short-term relationship between air pollution, climatic factors and the susceptibility to sars-cov-2 infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078046/ https://www.ncbi.nlm.nih.gov/pubmed/33930404 http://dx.doi.org/10.1016/j.envres.2021.111197 |
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