Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China.
Identifieur interne : 002826 ( Main/Corpus ); précédent : 002825; suivant : 002827Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China.
Auteurs : Yongjian Zhu ; Jingui Xie ; Fengming Huang ; Liqing CaoSource :
- The Science of the total environment [ 1879-1026 ] ; 2020.
English descriptors
- KwdEn :
- MESH :
- chemical : Air Pollutants, Particulate Matter.
- geographic : China, Cities.
- Air Pollution, Betacoronavirus, COVID-19, Coronavirus Infections, Environmental Exposure, Humans, Pandemics, Pneumonia, Viral, SARS-CoV-2.
Abstract
The novel coronavirus pneumonia, namely COVID-19, has become a global public health problem. Previous studies have found that air pollution is a risk factor for respiratory infection by carrying microorganisms and affecting body's immunity. This study aimed to explore the relationship between ambient air pollutants and the infection caused by the novel coronavirus. Daily confirmed cases, air pollution concentration and meteorological variables in 120 cities were obtained from January 23, 2020 to February 29, 2020 in China. We applied a generalized additive model to investigate the associations of six air pollutants (PM2.5, PM10, SO2, CO, NO2 and O3) with COVID-19 confirmed cases. We observed significantly positive associations of PM2.5, PM10, NO2 and O3 in the last two weeks with newly COVID-19 confirmed cases. A 10-μg/m3 increase (lag0-14) in PM2.5, PM10, NO2, and O3 was associated with a 2.24% (95% CI: 1.02 to 3.46), 1.76% (95% CI: 0.89 to 2.63), 6.94% (95% CI: 2.38 to 11.51), and 4.76% (95% CI: 1.99 to 7.52) increase in the daily counts of confirmed cases, respectively. However, a 10-μg/m3 increase (lag0-14) in SO2 was associated with a 7.79% decrease (95% CI: -14.57 to -1.01) in COVID-19 confirmed cases. Our results indicate that there is a significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease.
DOI: 10.1016/j.scitotenv.2020.138704
PubMed: 32315904
PubMed Central: PMC7159846
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Electronic address: xiej@ustc.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Huang, Fengming" sort="Huang, Fengming" uniqKey="Huang F" first="Fengming" last="Huang">Fengming Huang</name><affiliation><nlm:affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address: 3234119867@qq.com.</nlm:affiliation></affiliation></author><author><name sortKey="Cao, Liqing" sort="Cao, Liqing" uniqKey="Cao L" first="Liqing" last="Cao">Liqing Cao</name><affiliation><nlm:affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. 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Electronic address: ustczyj@mail.ustc.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Xie, Jingui" sort="Xie, Jingui" uniqKey="Xie J" first="Jingui" last="Xie">Jingui Xie</name><affiliation><nlm:affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Brunel Business School, Brunel University London, Uxbridge, United Kingdom. Electronic address: xiej@ustc.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Huang, Fengming" sort="Huang, Fengming" uniqKey="Huang F" first="Fengming" last="Huang">Fengming Huang</name><affiliation><nlm:affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address: 3234119867@qq.com.</nlm:affiliation></affiliation></author><author><name sortKey="Cao, Liqing" sort="Cao, Liqing" uniqKey="Cao L" first="Liqing" last="Cao">Liqing Cao</name><affiliation><nlm:affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address: caoliqing@ustc.edu.cn.</nlm:affiliation></affiliation></author></analytic><series><title level="j">The Science of the total environment</title><idno type="eISSN">1879-1026</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air Pollutants (MeSH)</term><term>Air Pollution (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>COVID-19 (MeSH)</term><term>China (MeSH)</term><term>Cities (MeSH)</term><term>Coronavirus Infections (MeSH)</term><term>Environmental Exposure (MeSH)</term><term>Humans (MeSH)</term><term>Pandemics (MeSH)</term><term>Particulate Matter (MeSH)</term><term>Pneumonia, Viral (MeSH)</term><term>SARS-CoV-2 (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Air Pollutants</term><term>Particulate Matter</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term><term>Cities</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Air Pollution</term><term>Betacoronavirus</term><term>COVID-19</term><term>Coronavirus Infections</term><term>Environmental Exposure</term><term>Humans</term><term>Pandemics</term><term>Pneumonia, Viral</term><term>SARS-CoV-2</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The novel coronavirus pneumonia, namely COVID-19, has become a global public health problem. Previous studies have found that air pollution is a risk factor for respiratory infection by carrying microorganisms and affecting body's immunity. This study aimed to explore the relationship between ambient air pollutants and the infection caused by the novel coronavirus. Daily confirmed cases, air pollution concentration and meteorological variables in 120 cities were obtained from January 23, 2020 to February 29, 2020 in China. We applied a generalized additive model to investigate the associations of six air pollutants (PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, CO, NO<sub>2</sub> and O<sub>3</sub>) with COVID-19 confirmed cases. We observed significantly positive associations of PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub> and O<sub>3</sub> in the last two weeks with newly COVID-19 confirmed cases. A 10-μg/m<sup>3</sup> increase (lag0-14) in PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and O<sub>3</sub> was associated with a 2.24% (95% CI: 1.02 to 3.46), 1.76% (95% CI: 0.89 to 2.63), 6.94% (95% CI: 2.38 to 11.51), and 4.76% (95% CI: 1.99 to 7.52) increase in the daily counts of confirmed cases, respectively. However, a 10-μg/m<sup>3</sup> increase (lag0-14) in SO<sub>2</sub> was associated with a 7.79% decrease (95% CI: -14.57 to -1.01) in COVID-19 confirmed cases. Our results indicate that there is a significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32315904</PMID><DateCompleted><Year>2020</Year><Month>06</Month><Day>05</Day></DateCompleted><DateRevised><Year>2021</Year><Month>01</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1026</ISSN><JournalIssue CitedMedium="Internet"><Volume>727</Volume><PubDate><Year>2020</Year><Month>Jul</Month><Day>20</Day></PubDate></JournalIssue><Title>The Science of the total environment</Title><ISOAbbreviation>Sci Total Environ</ISOAbbreviation></Journal><ArticleTitle>Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China.</ArticleTitle><Pagination><MedlinePgn>138704</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0048-9697(20)32221-X</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2020.138704</ELocationID><Abstract><AbstractText>The novel coronavirus pneumonia, namely COVID-19, has become a global public health problem. Previous studies have found that air pollution is a risk factor for respiratory infection by carrying microorganisms and affecting body's immunity. This study aimed to explore the relationship between ambient air pollutants and the infection caused by the novel coronavirus. Daily confirmed cases, air pollution concentration and meteorological variables in 120 cities were obtained from January 23, 2020 to February 29, 2020 in China. We applied a generalized additive model to investigate the associations of six air pollutants (PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, CO, NO<sub>2</sub> and O<sub>3</sub>) with COVID-19 confirmed cases. We observed significantly positive associations of PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub> and O<sub>3</sub> in the last two weeks with newly COVID-19 confirmed cases. A 10-μg/m<sup>3</sup> increase (lag0-14) in PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and O<sub>3</sub> was associated with a 2.24% (95% CI: 1.02 to 3.46), 1.76% (95% CI: 0.89 to 2.63), 6.94% (95% CI: 2.38 to 11.51), and 4.76% (95% CI: 1.99 to 7.52) increase in the daily counts of confirmed cases, respectively. However, a 10-μg/m<sup>3</sup> increase (lag0-14) in SO<sub>2</sub> was associated with a 7.79% decrease (95% CI: -14.57 to -1.01) in COVID-19 confirmed cases. Our results indicate that there is a significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease.</AbstractText><CopyrightInformation>Copyright © 2020 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhu</LastName><ForeName>Yongjian</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>School of Management, University of Science and Technology of China, Hefei, China. Electronic address: ustczyj@mail.ustc.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xie</LastName><ForeName>Jingui</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Brunel Business School, Brunel University London, Uxbridge, United Kingdom. Electronic address: xiej@ustc.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Huang</LastName><ForeName>Fengming</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address: 3234119867@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cao</LastName><ForeName>Liqing</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address: caoliqing@ustc.edu.cn.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>04</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Sci Total Environ</MedlineTA><NlmUniqueID>0330500</NlmUniqueID><ISSNLinking>0048-9697</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000393">Air Pollutants</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D052638">Particulate Matter</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>Sci Total Environ. 2020 Sep 10;734:139489</RefSource><PMID Version="1">32425256</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000393" MajorTopicYN="N">Air Pollutants</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000397" MajorTopicYN="Y">Air Pollution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002947" MajorTopicYN="N" Type="Geographic">Cities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="Y">Coronavirus Infections</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004781" MajorTopicYN="N">Environmental Exposure</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" 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