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Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia

COVID-19 is one of the major pandemics in history. It has caused various health problems to majority of countries in the world. Several researchers have examined and developed studies regarding concerns on air pollution being considered a major risk factor causing respiratory infections. Such infect...

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Autor principal: Ghanim, Abdulnoor A. J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390106/
https://www.ncbi.nlm.nih.gov/pubmed/34448138
http://dx.doi.org/10.1007/s11356-021-15507-9
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author Ghanim, Abdulnoor A. J
author_facet Ghanim, Abdulnoor A. J
author_sort Ghanim, Abdulnoor A. J
collection PubMed
description COVID-19 is one of the major pandemics in history. It has caused various health problems to majority of countries in the world. Several researchers have examined and developed studies regarding concerns on air pollution being considered a major risk factor causing respiratory infections. Such infections are carried out by microorganisms, thus further affecting the immune system. The present study involves the relationship between air pollutants and the total COVID-19 infections along with the estimation of death rates in several regions of Saudi Arabia. The major goal of this study comprises the analysis of the relationship between air pollutants concentration, such as PM10, NO(2), CO, SO(2), and O(3), and the widespread outbreak of COVID-19. This scenario involves the transmission, number of patients, critical cases, and death rates. Results show that the estimation of recorded COVID-19 cases was in the most polluted regions; the mortality rate and critical cases were also more distinct in these regions than in other regions in Saudi Arabia. The finding of this study demonstrates a positive correlation between the mean values of PM10, NO(2), CO, and SO(2) pollutants. The results represent the significant relationship between air pollution resulting from a high concentration of NO(2) and COVID-19 infections and deaths. In addition, a null hypothesis of the relation between other pollutants and COVID-19 infections cannot be rejected. The study also indicates a significant correlation between the means of NO(2) and CO and the total number of critical cases. Negative correlations are obtained between the mean of O(3) and the total number of cases, total deaths, and critical case per cumulative days. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-83901062021-08-27 Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia Ghanim, Abdulnoor A. J Environ Sci Pollut Res Int Research Article COVID-19 is one of the major pandemics in history. It has caused various health problems to majority of countries in the world. Several researchers have examined and developed studies regarding concerns on air pollution being considered a major risk factor causing respiratory infections. Such infections are carried out by microorganisms, thus further affecting the immune system. The present study involves the relationship between air pollutants and the total COVID-19 infections along with the estimation of death rates in several regions of Saudi Arabia. The major goal of this study comprises the analysis of the relationship between air pollutants concentration, such as PM10, NO(2), CO, SO(2), and O(3), and the widespread outbreak of COVID-19. This scenario involves the transmission, number of patients, critical cases, and death rates. Results show that the estimation of recorded COVID-19 cases was in the most polluted regions; the mortality rate and critical cases were also more distinct in these regions than in other regions in Saudi Arabia. The finding of this study demonstrates a positive correlation between the mean values of PM10, NO(2), CO, and SO(2) pollutants. The results represent the significant relationship between air pollution resulting from a high concentration of NO(2) and COVID-19 infections and deaths. In addition, a null hypothesis of the relation between other pollutants and COVID-19 infections cannot be rejected. The study also indicates a significant correlation between the means of NO(2) and CO and the total number of critical cases. Negative correlations are obtained between the mean of O(3) and the total number of cases, total deaths, and critical case per cumulative days. GRAPHICAL ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2021-08-27 2022 /pmc/articles/PMC8390106/ /pubmed/34448138 http://dx.doi.org/10.1007/s11356-021-15507-9 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Ghanim, Abdulnoor A. J
Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia
title Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia
title_full Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia
title_fullStr Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia
title_full_unstemmed Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia
title_short Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia
title_sort analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from saudi arabia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390106/
https://www.ncbi.nlm.nih.gov/pubmed/34448138
http://dx.doi.org/10.1007/s11356-021-15507-9
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