Associations of acute exposure to airborne pollutants with COVID-19 infection: evidence from China
The outbreak of COVID-19, caused by SARS-CoV-2, has spread across many countries globally. Greatly, there are limited studies concerned with the effect of airborne pollutants on COVID-19 infection, while exposure to airborne pollutants may harm human health. This paper aimed to examine the associati...
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description | The outbreak of COVID-19, caused by SARS-CoV-2, has spread across many countries globally. Greatly, there are limited studies concerned with the effect of airborne pollutants on COVID-19 infection, while exposure to airborne pollutants may harm human health. This paper aimed to examine the associations of acute exposure to ambient atmospheric pollutants to daily newly COVID-19 confirmed cases in 41 Chinese cities. Using a generalized additive model with Poisson distribution controlling for temperature and relative humidity, we evaluated the association between pollutant concentrations and daily COVID-19 confirmation at single-city level and multicity levels. We observed a 10-μg/m
3
rise in levels of PM
2.5
(lag 0−14), O
3
(lag 0−1), SO
2
(lag 0), and NO
2
(lag 0−14) were positively associated with relative risks of 1.050 (95% CI: 1.028, 1.073), 1.011 (1.007, 1.015), 1.052 (1.022, 1.083), and 1.094 (1.028, 1.164) of daily newly confirmed cases, respectively. Further adjustment for other pollutants did not change the associations materially (excepting in the model for SO
2
). Our results indicated that COVID-19 incidence may be susceptible to airborne pollutants such as PM
2.5
, O
3
, SO
2
, and NO
2
, and mitigation strategies of environmental factors are required to prevent spreading. |
doi_str_mv | 10.1007/s11356-021-14159-z |
format | Article |
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3
rise in levels of PM
2.5
(lag 0−14), O
3
(lag 0−1), SO
2
(lag 0), and NO
2
(lag 0−14) were positively associated with relative risks of 1.050 (95% CI: 1.028, 1.073), 1.011 (1.007, 1.015), 1.052 (1.022, 1.083), and 1.094 (1.028, 1.164) of daily newly confirmed cases, respectively. Further adjustment for other pollutants did not change the associations materially (excepting in the model for SO
2
). Our results indicated that COVID-19 incidence may be susceptible to airborne pollutants such as PM
2.5
, O
3
, SO
2
, and NO
2
, and mitigation strategies of environmental factors are required to prevent spreading.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-021-14159-z</identifier><identifier>PMID: 33963992</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air Pollutants - analysis ; Air pollution ; Air Pollution - analysis ; Airborne infection ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; China - epidemiology ; Coronaviruses ; COVID-19 ; Disease transmission ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental factors ; Environmental Health ; Environmental Pollutants ; Environmental science ; Exposure ; Humans ; Indoor air pollution ; Nitrogen dioxide ; Particulate matter ; Particulate Matter - analysis ; Poisson distribution ; Pollutants ; Relative humidity ; Research Article ; Risk assessment ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Sulfur dioxide ; Viral diseases ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2021-09, Vol.28 (36), p.50554-50564</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-262a026cee3feed194f0bdd6b3e7180ab05c70b91ab4c43e71d3358392661a613</citedby><cites>FETCH-LOGICAL-c474t-262a026cee3feed194f0bdd6b3e7180ab05c70b91ab4c43e71d3358392661a613</cites><orcidid>0000-0002-0434-3057</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-021-14159-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-021-14159-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33963992$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Bingqing</creatorcontrib><creatorcontrib>Wu, Na</creatorcontrib><creatorcontrib>Jiang, Jiakui</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><title>Associations of acute exposure to airborne pollutants with COVID-19 infection: evidence from China</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>The outbreak of COVID-19, caused by SARS-CoV-2, has spread across many countries globally. Greatly, there are limited studies concerned with the effect of airborne pollutants on COVID-19 infection, while exposure to airborne pollutants may harm human health. This paper aimed to examine the associations of acute exposure to ambient atmospheric pollutants to daily newly COVID-19 confirmed cases in 41 Chinese cities. Using a generalized additive model with Poisson distribution controlling for temperature and relative humidity, we evaluated the association between pollutant concentrations and daily COVID-19 confirmation at single-city level and multicity levels. We observed a 10-μg/m
3
rise in levels of PM
2.5
(lag 0−14), O
3
(lag 0−1), SO
2
(lag 0), and NO
2
(lag 0−14) were positively associated with relative risks of 1.050 (95% CI: 1.028, 1.073), 1.011 (1.007, 1.015), 1.052 (1.022, 1.083), and 1.094 (1.028, 1.164) of daily newly confirmed cases, respectively. Further adjustment for other pollutants did not change the associations materially (excepting in the model for SO
2
). Our results indicated that COVID-19 incidence may be susceptible to airborne pollutants such as PM
2.5
, O
3
, SO
2
, and NO
2
, and mitigation strategies of environmental factors are required to prevent spreading.</description><subject>Air Pollutants - analysis</subject><subject>Air pollution</subject><subject>Air Pollution - analysis</subject><subject>Airborne infection</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>China - epidemiology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease transmission</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental factors</subject><subject>Environmental Health</subject><subject>Environmental Pollutants</subject><subject>Environmental science</subject><subject>Exposure</subject><subject>Humans</subject><subject>Indoor air pollution</subject><subject>Nitrogen dioxide</subject><subject>Particulate matter</subject><subject>Particulate Matter - analysis</subject><subject>Poisson distribution</subject><subject>Pollutants</subject><subject>Relative humidity</subject><subject>Research Article</subject><subject>Risk assessment</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Sulfur dioxide</subject><subject>Viral diseases</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution 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Health</topic><topic>Environmental Pollutants</topic><topic>Environmental science</topic><topic>Exposure</topic><topic>Humans</topic><topic>Indoor air pollution</topic><topic>Nitrogen dioxide</topic><topic>Particulate matter</topic><topic>Particulate Matter - analysis</topic><topic>Poisson distribution</topic><topic>Pollutants</topic><topic>Relative humidity</topic><topic>Research Article</topic><topic>Risk assessment</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Sulfur dioxide</topic><topic>Viral diseases</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Bingqing</creatorcontrib><creatorcontrib>Wu, Na</creatorcontrib><creatorcontrib>Jiang, Jiakui</creatorcontrib><creatorcontrib>Li, 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infection: evidence from China</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>28</volume><issue>36</issue><spage>50554</spage><epage>50564</epage><pages>50554-50564</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The outbreak of COVID-19, caused by SARS-CoV-2, has spread across many countries globally. Greatly, there are limited studies concerned with the effect of airborne pollutants on COVID-19 infection, while exposure to airborne pollutants may harm human health. This paper aimed to examine the associations of acute exposure to ambient atmospheric pollutants to daily newly COVID-19 confirmed cases in 41 Chinese cities. Using a generalized additive model with Poisson distribution controlling for temperature and relative humidity, we evaluated the association between pollutant concentrations and daily COVID-19 confirmation at single-city level and multicity levels. We observed a 10-μg/m
3
rise in levels of PM
2.5
(lag 0−14), O
3
(lag 0−1), SO
2
(lag 0), and NO
2
(lag 0−14) were positively associated with relative risks of 1.050 (95% CI: 1.028, 1.073), 1.011 (1.007, 1.015), 1.052 (1.022, 1.083), and 1.094 (1.028, 1.164) of daily newly confirmed cases, respectively. Further adjustment for other pollutants did not change the associations materially (excepting in the model for SO
2
). Our results indicated that COVID-19 incidence may be susceptible to airborne pollutants such as PM
2.5
, O
3
, SO
2
, and NO
2
, and mitigation strategies of environmental factors are required to prevent spreading.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33963992</pmid><doi>10.1007/s11356-021-14159-z</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0434-3057</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Air Pollutants - analysis Air pollution Air Pollution - analysis Airborne infection Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution China - epidemiology Coronaviruses COVID-19 Disease transmission Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental factors Environmental Health Environmental Pollutants Environmental science Exposure Humans Indoor air pollution Nitrogen dioxide Particulate matter Particulate Matter - analysis Poisson distribution Pollutants Relative humidity Research Article Risk assessment SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Sulfur dioxide Viral diseases Waste Water Technology Water Management Water Pollution Control |
title | Associations of acute exposure to airborne pollutants with COVID-19 infection: evidence from China |
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