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Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries

BACKGROUND: Exposure to ambient air pollution is related to 4.2 million premature deaths per year worldwide and is associated with a variety of adverse health outcomes, such as respiratory and cardiovascular morbidity. Furthermore, exposure to air pollution can increase human sensitivity to respirat...

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Autores principales: Barnett-Itzhaki, Zohar, Levi, Adi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826117/
https://www.ncbi.nlm.nih.gov/pubmed/33484722
http://dx.doi.org/10.1016/j.envres.2021.110723
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author Barnett-Itzhaki, Zohar
Levi, Adi
author_facet Barnett-Itzhaki, Zohar
Levi, Adi
author_sort Barnett-Itzhaki, Zohar
collection PubMed
description BACKGROUND: Exposure to ambient air pollution is related to 4.2 million premature deaths per year worldwide and is associated with a variety of adverse health outcomes, such as respiratory and cardiovascular morbidity. Furthermore, exposure to air pollution can increase human sensitivity to respiratory pathogens via damage to the respiratory tract or via airborne transmission on the surface of particulate matter, and might be an additional factor influencing COVID-19 morbidity and mortality rates. The aim of this study was to examine the association between populations' exposure to air pollution and the morbidity and mortality rates from COVID-19. METHODS: We examined the association between population-weighted long-term exposure to PM(2.5) and NOx, and the morbidity and mortality over time following the detection of the first COVID-19 positive case in 36 OECD countries. Pearson and Spearman correlations between daily COVID-19 morbidity and mortality (Jan–Jun 2020) on the 10(th), 20(th), 40(th), 60(th) and 80(th) days since first confirmed case in the country, and demographic, health, economic, and environmental data were calculated. Multivariate linear regression were used to examine the associations between demographic, health, economic and air pollution features and the rate of confirmed cases and deaths on the 60(th) and 80(th) days following the first confirmed case. RESULTS: PM(2.5) concentrations in 2015–2017 were positively correlated with COVID-19 morbidity and mortality on the 10(th), 20(th), 40(th) and 60(th) days since the first confirmed case in all countries. NOx concentrations in 2015–2017 and country's density (population/Km(2)) were positively correlated with COVID-19 morbidity and mortality on the 60(th) day. All multivariate linear regressions consisting PM(2.5) concentrations models were statistically significant. Our models also emphasize the importance of the relative number of hospital beds in decreasing the morbidity and mortality of COVID-19. CONCLUSIONS: The adverse health outcomes stemming from long-term exposure to various air pollutants has long been known to the scientific community. According to our results and previously published studies, it appears that long-term exposure to air pollutants concentrations exceeding WHO guidelines, such as PM(2.5) and NOx, might exacerbate morbidity and mortality rates from COVID-19. These results should raise a red flag globally among decision makers about the urgent need to reduce air pollution and its harmful effects.
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spelling pubmed-78261172021-01-25 Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries Barnett-Itzhaki, Zohar Levi, Adi Environ Res Article BACKGROUND: Exposure to ambient air pollution is related to 4.2 million premature deaths per year worldwide and is associated with a variety of adverse health outcomes, such as respiratory and cardiovascular morbidity. Furthermore, exposure to air pollution can increase human sensitivity to respiratory pathogens via damage to the respiratory tract or via airborne transmission on the surface of particulate matter, and might be an additional factor influencing COVID-19 morbidity and mortality rates. The aim of this study was to examine the association between populations' exposure to air pollution and the morbidity and mortality rates from COVID-19. METHODS: We examined the association between population-weighted long-term exposure to PM(2.5) and NOx, and the morbidity and mortality over time following the detection of the first COVID-19 positive case in 36 OECD countries. Pearson and Spearman correlations between daily COVID-19 morbidity and mortality (Jan–Jun 2020) on the 10(th), 20(th), 40(th), 60(th) and 80(th) days since first confirmed case in the country, and demographic, health, economic, and environmental data were calculated. Multivariate linear regression were used to examine the associations between demographic, health, economic and air pollution features and the rate of confirmed cases and deaths on the 60(th) and 80(th) days following the first confirmed case. RESULTS: PM(2.5) concentrations in 2015–2017 were positively correlated with COVID-19 morbidity and mortality on the 10(th), 20(th), 40(th) and 60(th) days since the first confirmed case in all countries. NOx concentrations in 2015–2017 and country's density (population/Km(2)) were positively correlated with COVID-19 morbidity and mortality on the 60(th) day. All multivariate linear regressions consisting PM(2.5) concentrations models were statistically significant. Our models also emphasize the importance of the relative number of hospital beds in decreasing the morbidity and mortality of COVID-19. CONCLUSIONS: The adverse health outcomes stemming from long-term exposure to various air pollutants has long been known to the scientific community. According to our results and previously published studies, it appears that long-term exposure to air pollutants concentrations exceeding WHO guidelines, such as PM(2.5) and NOx, might exacerbate morbidity and mortality rates from COVID-19. These results should raise a red flag globally among decision makers about the urgent need to reduce air pollution and its harmful effects. Elsevier Inc. 2021-04 2021-01-21 /pmc/articles/PMC7826117/ /pubmed/33484722 http://dx.doi.org/10.1016/j.envres.2021.110723 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
Barnett-Itzhaki, Zohar
Levi, Adi
Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries
title Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries
title_full Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries
title_fullStr Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries
title_full_unstemmed Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries
title_short Effects of chronic exposure to ambient air pollutants on COVID-19 morbidity and mortality - A lesson from OECD countries
title_sort effects of chronic exposure to ambient air pollutants on covid-19 morbidity and mortality - a lesson from oecd countries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826117/
https://www.ncbi.nlm.nih.gov/pubmed/33484722
http://dx.doi.org/10.1016/j.envres.2021.110723
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