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PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods

Background: The coronavirus disease in 2019 (COVID-19) heavily hit Italy, one of Europe’s most polluted countries. The extent to which PM pollution contributed to COVID-19 diffusion is needing further clarification. We aimed to investigate the particular matter (PM) pollution and its correlation wit...

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Autores principales: Kotsiou, Ourania S., Kotsios, Vaios S., Lampropoulos, Ioannis, Zidros, Thomas, Zarogiannis, Sotirios G., Gourgoulianis, Konstantinos I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151137/
https://www.ncbi.nlm.nih.gov/pubmed/34064956
http://dx.doi.org/10.3390/ijerph18105088
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author Kotsiou, Ourania S.
Kotsios, Vaios S.
Lampropoulos, Ioannis
Zidros, Thomas
Zarogiannis, Sotirios G.
Gourgoulianis, Konstantinos I.
author_facet Kotsiou, Ourania S.
Kotsios, Vaios S.
Lampropoulos, Ioannis
Zidros, Thomas
Zarogiannis, Sotirios G.
Gourgoulianis, Konstantinos I.
author_sort Kotsiou, Ourania S.
collection PubMed
description Background: The coronavirus disease in 2019 (COVID-19) heavily hit Italy, one of Europe’s most polluted countries. The extent to which PM pollution contributed to COVID-19 diffusion is needing further clarification. We aimed to investigate the particular matter (PM) pollution and its correlation with COVID-19 incidence across four Italian cities: Milan, Rome, Naples, and Salerno, during the pre-lockdown and lockdown periods. Methods: We performed a comparative analysis followed by correlation and regression analyses of the daily average PM(10), PM(2.5) concentrations, and COVID-19 incidence across four cities from 1 January 2020 to 8 April 2020, adjusting for several factors, taking a two-week time lag into account. Results: Milan had significantly higher average daily PM(10) and PM(2.5) levels than Rome, Naples, and Salerno. Rome, Naples, and Salerno maintained safe PM(10) levels. The daily PM(2.5) levels exceeded the legislative standards in all cities during the entire period. PM(2.5) pollution was related to COVID-19 incidence. The PM(2.5) levels and sampling rate were strong predictors of COVID-19 incidence during the pre-lockdown period. The PM(2.5) levels, population’s age, and density strongly predicted COVID-19 incidence during lockdown. Conclusions: Italy serves as a noteworthy paradigm illustrating that PM(2.5) pollution impacts COVID-19 spread. Even in lockdown, PM(2.5) levels negatively impacted COVID-19 incidence.
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spelling pubmed-81511372021-05-27 PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods Kotsiou, Ourania S. Kotsios, Vaios S. Lampropoulos, Ioannis Zidros, Thomas Zarogiannis, Sotirios G. Gourgoulianis, Konstantinos I. Int J Environ Res Public Health Article Background: The coronavirus disease in 2019 (COVID-19) heavily hit Italy, one of Europe’s most polluted countries. The extent to which PM pollution contributed to COVID-19 diffusion is needing further clarification. We aimed to investigate the particular matter (PM) pollution and its correlation with COVID-19 incidence across four Italian cities: Milan, Rome, Naples, and Salerno, during the pre-lockdown and lockdown periods. Methods: We performed a comparative analysis followed by correlation and regression analyses of the daily average PM(10), PM(2.5) concentrations, and COVID-19 incidence across four cities from 1 January 2020 to 8 April 2020, adjusting for several factors, taking a two-week time lag into account. Results: Milan had significantly higher average daily PM(10) and PM(2.5) levels than Rome, Naples, and Salerno. Rome, Naples, and Salerno maintained safe PM(10) levels. The daily PM(2.5) levels exceeded the legislative standards in all cities during the entire period. PM(2.5) pollution was related to COVID-19 incidence. The PM(2.5) levels and sampling rate were strong predictors of COVID-19 incidence during the pre-lockdown period. The PM(2.5) levels, population’s age, and density strongly predicted COVID-19 incidence during lockdown. Conclusions: Italy serves as a noteworthy paradigm illustrating that PM(2.5) pollution impacts COVID-19 spread. Even in lockdown, PM(2.5) levels negatively impacted COVID-19 incidence. MDPI 2021-05-11 /pmc/articles/PMC8151137/ /pubmed/34064956 http://dx.doi.org/10.3390/ijerph18105088 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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kotsiou, Ourania S.
Kotsios, Vaios S.
Lampropoulos, Ioannis
Zidros, Thomas
Zarogiannis, Sotirios G.
Gourgoulianis, Konstantinos I.
PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods
title PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods
title_full PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods
title_fullStr PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods
title_full_unstemmed PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods
title_short PM(2.5) Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods
title_sort pm(2.5) pollution strongly predicted covid-19 incidence in four high-polluted urbanized italian cities during the pre-lockdown and lockdown periods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151137/
https://www.ncbi.nlm.nih.gov/pubmed/34064956
http://dx.doi.org/10.3390/ijerph18105088
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