How air quality and COVID-19 transmission change under different lockdown scenarios? A case from Dhaka city, Bangladesh.
Identifieur interne : 000F59 ( Main/Corpus ); précédent : 000F58; suivant : 000F60How air quality and COVID-19 transmission change under different lockdown scenarios? A case from Dhaka city, Bangladesh.
Auteurs : Md Siddiqur Rahman ; Md Abul Kalam Azad ; Md Hasanuzzaman ; Roquia Salam ; Abu Reza Md Towfiqul Islam ; Md Mostafizur Rahman ; Mir Md Mozammal HoqueSource :
- The Science of the total environment [ 1879-1026 ] ; 2021.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Air Pollutants, Particulate Matter.
- geographic : Bangladesh, Cities.
- analysis : Air Pollution.
- COVID-19, Communicable Disease Control, Environmental Monitoring, Humans, SARS-CoV-2.
Abstract
The transmission of novel coronavirus (COVID-19) can be reduced by implementing a lockdown policy, which has also been proven as an effective control measure for air pollution in the urban cities. In this study, we applied ground- and satellite-based data of five criteria air pollutants (PM2.5, NO2, SO2, O3, and CO) and meteorological factors from March 8 to May 15, 2020 (before, partial-, and full-lockdown). The generalized additive models (GAMs), wavelet coherence, and random forest (RF) model were employed to explore the relationship between air quality indicators and COVID-19 transmission in Dhaka city. Results show that overall, 26, 20.4, 17.5, 9.7 and 8.8% declined in PM 2.5, NO2, SO2, O3, and CO concentrations, respectively, in Dhaka City during the partial and full lockdown compared to the period before the lockdown. The implementation of lockdown policy for containing COVID-19 transmission played a crucial role in reducing air pollution. The findings of wavelet coherence and partial wavelet coherence demonstrate no standalone coherence, but interestingly, multiple wavelet coherence indicated a strong short-term coherence among air pollutants and meteorological factors with the COVID-19 outbreak. Outcomes of GAMs indicated that an increase of 1-unit in long-term exposure to O3 and CO (lag1) was associated with a 2.9% (95% CI: -0.3%, -5.6%), and 53.9% (95% CI: 0.2%, -107.9%) decreased risk of COVID-19 infection rate during the full-lockdown period. Whereas, COVID-19 infection and MT (mean temperature) are modulated by a peak during full-lockdown, which is mostly attributed to contact transmission in Dhaka city. RF model revealed among the parameters being studied, MT, RH (relative humidity), and O3 were the dominant factors that could be associated with COVID-19 cases during the study period. The outcomes reported here could elucidate the effectiveness of lockdown scenarios for COVID-19 containment and air pollution control in Dhaka city.
DOI: 10.1016/j.scitotenv.2020.143161
PubMed: 33129520
PubMed Central: PMC7577272
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pubmed:33129520Le document en format XML
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A case from Dhaka city, Bangladesh.</title><author><name sortKey="Rahman, Md Siddiqur" sort="Rahman, Md Siddiqur" uniqKey="Rahman M" first="Md Siddiqur" last="Rahman">Md Siddiqur Rahman</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Azad, Md Abul Kalam" sort="Azad, Md Abul Kalam" uniqKey="Azad M" first="Md Abul Kalam" last="Azad">Md Abul Kalam Azad</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Hasanuzzaman, Md" sort="Hasanuzzaman, Md" uniqKey="Hasanuzzaman M" first="Md" last="Hasanuzzaman">Md Hasanuzzaman</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Salam, Roquia" sort="Salam, Roquia" uniqKey="Salam R" first="Roquia" last="Salam">Roquia Salam</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Islam, Abu Reza Md Towfiqul" sort="Islam, Abu Reza Md Towfiqul" uniqKey="Islam A" first="Abu Reza Md Towfiqul" last="Islam">Abu Reza Md Towfiqul Islam</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh. 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A case from Dhaka city, Bangladesh.</title><author><name sortKey="Rahman, Md Siddiqur" sort="Rahman, Md Siddiqur" uniqKey="Rahman M" first="Md Siddiqur" last="Rahman">Md Siddiqur Rahman</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Azad, Md Abul Kalam" sort="Azad, Md Abul Kalam" uniqKey="Azad M" first="Md Abul Kalam" last="Azad">Md Abul Kalam Azad</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Hasanuzzaman, Md" sort="Hasanuzzaman, Md" uniqKey="Hasanuzzaman M" first="Md" last="Hasanuzzaman">Md Hasanuzzaman</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Salam, Roquia" sort="Salam, Roquia" uniqKey="Salam R" first="Roquia" last="Salam">Roquia Salam</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</nlm:affiliation></affiliation></author><author><name sortKey="Islam, Abu Reza Md Towfiqul" sort="Islam, Abu Reza Md Towfiqul" uniqKey="Islam A" first="Abu Reza Md Towfiqul" last="Islam">Abu Reza Md Towfiqul Islam</name><affiliation><nlm:affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh. Electronic address: towfiq_dm@brur.ac.bd.</nlm:affiliation></affiliation></author><author><name sortKey="Rahman, Md Mostafizur" sort="Rahman, Md Mostafizur" uniqKey="Rahman M" first="Md Mostafizur" last="Rahman">Md Mostafizur Rahman</name><affiliation><nlm:affiliation>Department of Environmental Sciences, Jahangirnagar University, Dhaka 1342, Bangladesh. Electronic address: rahmanmm@juniv.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Hoque, Mir Md Mozammal" sort="Hoque, Mir Md Mozammal" uniqKey="Hoque M" first="Mir Md Mozammal" last="Hoque">Mir Md Mozammal Hoque</name><affiliation><nlm:affiliation>Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.</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="2021" type="published">2021</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air Pollutants (analysis)</term><term>Air Pollution (analysis)</term><term>Bangladesh (MeSH)</term><term>COVID-19 (MeSH)</term><term>Cities (MeSH)</term><term>Communicable Disease Control (MeSH)</term><term>Environmental Monitoring (MeSH)</term><term>Humans (MeSH)</term><term>Particulate Matter (analysis)</term><term>SARS-CoV-2 (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Air Pollutants</term><term>Particulate Matter</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Bangladesh</term><term>Cities</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Air Pollution</term></keywords><keywords scheme="MESH" xml:lang="en"><term>COVID-19</term><term>Communicable Disease Control</term><term>Environmental Monitoring</term><term>Humans</term><term>SARS-CoV-2</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The transmission of novel coronavirus (COVID-19) can be reduced by implementing a lockdown policy, which has also been proven as an effective control measure for air pollution in the urban cities. In this study, we applied ground- and satellite-based data of five criteria air pollutants (PM2.5, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub>, and CO) and meteorological factors from March 8 to May 15, 2020 (before, partial-, and full-lockdown). The generalized additive models (GAMs), wavelet coherence, and random forest (RF) model were employed to explore the relationship between air quality indicators and COVID-19 transmission in Dhaka city. Results show that overall, 26, 20.4, 17.5, 9.7 and 8.8% declined in PM 2.5, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub>, and CO concentrations, respectively, in Dhaka City during the partial and full lockdown compared to the period before the lockdown. The implementation of lockdown policy for containing COVID-19 transmission played a crucial role in reducing air pollution. The findings of wavelet coherence and partial wavelet coherence demonstrate no standalone coherence, but interestingly, multiple wavelet coherence indicated a strong short-term coherence among air pollutants and meteorological factors with the COVID-19 outbreak. Outcomes of GAMs indicated that an increase of 1-unit in long-term exposure to O<sub>3</sub> and CO (lag1) was associated with a 2.9% (95% CI: -0.3%, -5.6%), and 53.9% (95% CI: 0.2%, -107.9%) decreased risk of COVID-19 infection rate during the full-lockdown period. Whereas, COVID-19 infection and MT (mean temperature) are modulated by a peak during full-lockdown, which is mostly attributed to contact transmission in Dhaka city. RF model revealed among the parameters being studied, MT, RH (relative humidity), and O<sub>3</sub> were the dominant factors that could be associated with COVID-19 cases during the study period. The outcomes reported here could elucidate the effectiveness of lockdown scenarios for COVID-19 containment and air pollution control in Dhaka city.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">33129520</PMID><DateCompleted><Year>2021</Year><Month>01</Month><Day>22</Day></DateCompleted><DateRevised><Year>2021</Year><Month>01</Month><Day>22</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1026</ISSN><JournalIssue CitedMedium="Internet"><Volume>762</Volume><PubDate><Year>2021</Year><Month>Mar</Month><Day>25</Day></PubDate></JournalIssue><Title>The Science of the total environment</Title><ISOAbbreviation>Sci Total Environ</ISOAbbreviation></Journal><ArticleTitle>How air quality and COVID-19 transmission change under different lockdown scenarios? A case from Dhaka city, Bangladesh.</ArticleTitle><Pagination><MedlinePgn>143161</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0048-9697(20)36691-2</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2020.143161</ELocationID><Abstract><AbstractText>The transmission of novel coronavirus (COVID-19) can be reduced by implementing a lockdown policy, which has also been proven as an effective control measure for air pollution in the urban cities. In this study, we applied ground- and satellite-based data of five criteria air pollutants (PM2.5, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub>, and CO) and meteorological factors from March 8 to May 15, 2020 (before, partial-, and full-lockdown). The generalized additive models (GAMs), wavelet coherence, and random forest (RF) model were employed to explore the relationship between air quality indicators and COVID-19 transmission in Dhaka city. Results show that overall, 26, 20.4, 17.5, 9.7 and 8.8% declined in PM 2.5, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub>, and CO concentrations, respectively, in Dhaka City during the partial and full lockdown compared to the period before the lockdown. The implementation of lockdown policy for containing COVID-19 transmission played a crucial role in reducing air pollution. The findings of wavelet coherence and partial wavelet coherence demonstrate no standalone coherence, but interestingly, multiple wavelet coherence indicated a strong short-term coherence among air pollutants and meteorological factors with the COVID-19 outbreak. Outcomes of GAMs indicated that an increase of 1-unit in long-term exposure to O<sub>3</sub> and CO (lag1) was associated with a 2.9% (95% CI: -0.3%, -5.6%), and 53.9% (95% CI: 0.2%, -107.9%) decreased risk of COVID-19 infection rate during the full-lockdown period. Whereas, COVID-19 infection and MT (mean temperature) are modulated by a peak during full-lockdown, which is mostly attributed to contact transmission in Dhaka city. RF model revealed among the parameters being studied, MT, RH (relative humidity), and O<sub>3</sub> were the dominant factors that could be associated with COVID-19 cases during the study period. The outcomes reported here could elucidate the effectiveness of lockdown scenarios for COVID-19 containment and air pollution control in Dhaka city.</AbstractText><CopyrightInformation>Copyright © 2020 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rahman</LastName><ForeName>Md Siddiqur</ForeName><Initials>MS</Initials><AffiliationInfo><Affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Azad</LastName><ForeName>Md Abul Kalam</ForeName><Initials>MAK</Initials><AffiliationInfo><Affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hasanuzzaman</LastName><ForeName>Md</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Salam</LastName><ForeName>Roquia</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Islam</LastName><ForeName>Abu Reza Md Towfiqul</ForeName><Initials>ARMT</Initials><AffiliationInfo><Affiliation>Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh. Electronic address: towfiq_dm@brur.ac.bd.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rahman</LastName><ForeName>Md Mostafizur</ForeName><Initials>MM</Initials><AffiliationInfo><Affiliation>Department of Environmental Sciences, Jahangirnagar University, Dhaka 1342, Bangladesh. Electronic address: rahmanmm@juniv.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hoque</LastName><ForeName>Mir Md Mozammal</ForeName><Initials>MMM</Initials><AffiliationInfo><Affiliation>Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>10</Month><Day>21</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><MeshHeadingList><MeshHeading><DescriptorName UI="D000393" MajorTopicYN="Y">Air Pollutants</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000397" MajorTopicYN="Y">Air Pollution</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001459" MajorTopicYN="N" Type="Geographic">Bangladesh</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="Y">COVID-19</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002947" MajorTopicYN="N" Type="Geographic">Cities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D052638" MajorTopicYN="N">Particulate Matter</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Air pollution</Keyword><Keyword MajorTopicYN="N">CO</Keyword><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Humidity</Keyword><Keyword MajorTopicYN="N">Ozone</Keyword><Keyword MajorTopicYN="N">PM2.5</Keyword></KeywordList><CoiStatement>Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>10</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>10</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>11</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2021</Year><Month>1</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>11</Month><Day>1</Day><Hour>20</Hour><Minute>26</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33129520</ArticleId><ArticleId IdType="pii">S0048-9697(20)36691-2</ArticleId><ArticleId IdType="doi">10.1016/j.scitotenv.2020.143161</ArticleId><ArticleId IdType="pmc">PMC7577272</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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