LockdownV1, Main, Exploration, bibRecord, 000504

DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.

Identifieur interne : 000504 ( Main/Exploration ); précédent : 000503; suivant : 000505

DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.

Auteurs : Jordi Martorell-Marugán [Espagne] ; Juan Antonio Villatoro-García [Espagne] ; Adrián García-Moreno [Espagne] ; Raúl L Pez-Domínguez [Espagne] ; Francisco Requena [France] ; Juan Julián Merelo [Espagne] ; Marina Lacasa A [Espagne] ; Juan De Dios Luna [Espagne] ; Juan J. Díaz-Moch N [Espagne] ; Jose A. Lorente [Espagne] ; Pedro Carmona-Sáez [Espagne]

Source :

The Science of the total environment [ 1879-1026 ] ; 2021.

RBID : pubmed:32853931

Descripteurs français

KwdFr :
- Betacoronavirus (MeSH), Coronavirus (MeSH), Espagne (épidémiologie), Humains (MeSH), Infections à coronavirus (MeSH), Matière particulaire (analyse), Pandémies (MeSH), Pneumopathie virale (MeSH), Polluants atmosphériques (analyse), Pollution de l'air (analyse).
MESH :
- analyse : Matière particulaire, Polluants atmosphériques, Pollution de l'air.
- épidémiologie : Espagne.
- Betacoronavirus, Coronavirus, Humains, Infections à coronavirus, Pandémies, Pneumopathie virale.
Wicri :
- geographic : Espagne.

English descriptors

KwdEn :
- Air Pollutants (analysis), Air Pollution (analysis), Betacoronavirus (MeSH), COVID-19 (MeSH), Coronavirus (MeSH), Coronavirus Infections (MeSH), Humans (MeSH), Pandemics (MeSH), Particulate Matter (analysis), Pneumonia, Viral (MeSH), SARS-CoV-2 (MeSH), Spain (epidemiology).
MESH :
- chemical , analysis : Air Pollutants, Particulate Matter.
- geographic , epidemiology : Spain.
- analysis : Air Pollution.
- Betacoronavirus, COVID-19, Coronavirus, Coronavirus Infections, Humans, Pandemics, Pneumonia, Viral, SARS-CoV-2.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecedented global health crisis, with several countries imposing lockdowns to control the coronavirus spread. Important research efforts are focused on evaluating the association of environmental factors with the survival and spread of the virus and different works have been published, with contradictory results in some cases. Data with spatial and temporal information is a key factor to get reliable results and, although there are some data repositories for monitoring the disease both globally and locally, an application that integrates and aggregates data from meteorological and air quality variables with COVID-19 information has not been described so far to the best of our knowledge. Here, we present DatAC (Data Against COVID-19), a data fusion project with an interactive web frontend that integrates COVID-19 and environmental data in Spain. DatAC is provided with powerful data analysis and statistical capabilities that allow users to explore and analyze individual trends and associations among the provided data. Using the application, we have evaluated the impact of the Spanish lockdown on the air quality, observing that NO₂, CO, PM_2.5, PM₁₀ and SO₂ levels decreased drastically in the entire territory, while O₃ levels increased. We observed similar trends in urban and rural areas, although the impact has been more important in the former. Moreover, the application allowed us to analyze correlations among climate factors, such as ambient temperature, and the incidence of COVID-19 in Spain. Our results indicate that temperature is not the driving factor and without effective control actions, outbreaks will appear and warm weather will not substantially limit the growth of the pandemic. DatAC is available at https://covid19.genyo.es.

DOI: 10.1016/j.scitotenv.2020.141424
PubMed: 32853931
PubMed Central: PMC7399783

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 001967
to stream Main, to step Curation: 001967

Le document en format XML

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<term>Infections à coronavirus (MeSH)</term>
<term>Matière particulaire (analyse)</term>
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<term>Infections à coronavirus</term>
<term>Pandémies</term>
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<front><div type="abstract" xml:lang="en">The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecedented global health crisis, with several countries imposing lockdowns to control the coronavirus spread. Important research efforts are focused on evaluating the association of environmental factors with the survival and spread of the virus and different works have been published, with contradictory results in some cases. Data with spatial and temporal information is a key factor to get reliable results and, although there are some data repositories for monitoring the disease both globally and locally, an application that integrates and aggregates data from meteorological and air quality variables with COVID-19 information has not been described so far to the best of our knowledge. Here, we present DatAC (Data Against COVID-19), a data fusion project with an interactive web frontend that integrates COVID-19 and environmental data in Spain. DatAC is provided with powerful data analysis and statistical capabilities that allow users to explore and analyze individual trends and associations among the provided data. Using the application, we have evaluated the impact of the Spanish lockdown on the air quality, observing that NO<sub>2</sub>
, CO, PM<sub>2.5</sub>
, PM<sub>10</sub>
 and SO<sub>2</sub>
 levels decreased drastically in the entire territory, while O<sub>3</sub>
 levels increased. We observed similar trends in urban and rural areas, although the impact has been more important in the former. Moreover, the application allowed us to analyze correlations among climate factors, such as ambient temperature, and the incidence of COVID-19 in Spain. Our results indicate that temperature is not the driving factor and without effective control actions, outbreaks will appear and warm weather will not substantially limit the growth of the pandemic. DatAC is available at https://covid19.genyo.es.</div>
</front>
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<DateCompleted><Year>2020</Year>
<Month>11</Month>
<Day>11</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>750</Volume>
<PubDate><Year>2021</Year>
<Month>Jan</Month>
<Day>01</Day>
</PubDate>
</JournalIssue>
<Title>The Science of the total environment</Title>
<ISOAbbreviation>Sci Total Environ</ISOAbbreviation>
</Journal>
<ArticleTitle>DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.</ArticleTitle>
<Pagination><MedlinePgn>141424</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0048-9697(20)34953-6</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2020.141424</ELocationID>
<Abstract><AbstractText>The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecedented global health crisis, with several countries imposing lockdowns to control the coronavirus spread. Important research efforts are focused on evaluating the association of environmental factors with the survival and spread of the virus and different works have been published, with contradictory results in some cases. Data with spatial and temporal information is a key factor to get reliable results and, although there are some data repositories for monitoring the disease both globally and locally, an application that integrates and aggregates data from meteorological and air quality variables with COVID-19 information has not been described so far to the best of our knowledge. Here, we present DatAC (Data Against COVID-19), a data fusion project with an interactive web frontend that integrates COVID-19 and environmental data in Spain. DatAC is provided with powerful data analysis and statistical capabilities that allow users to explore and analyze individual trends and associations among the provided data. Using the application, we have evaluated the impact of the Spanish lockdown on the air quality, observing that NO<sub>2</sub>
, CO, PM<sub>2.5</sub>
, PM<sub>10</sub>
 and SO<sub>2</sub>
 levels decreased drastically in the entire territory, while O<sub>3</sub>
 levels increased. We observed similar trends in urban and rural areas, although the impact has been more important in the former. Moreover, the application allowed us to analyze correlations among climate factors, such as ambient temperature, and the incidence of COVID-19 in Spain. Our results indicate that temperature is not the driving factor and without effective control actions, outbreaks will appear and warm weather will not substantially limit the growth of the pandemic. DatAC is available at https://covid19.genyo.es.</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier B.V. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Martorell-Marugán</LastName>
<ForeName>Jordi</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; Atrys Health S.A., Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Villatoro-García</LastName>
<ForeName>Juan Antonio</ForeName>
<Initials>JA</Initials>
<AffiliationInfo><Affiliation>GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>García-Moreno</LastName>
<ForeName>Adrián</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>López-Domínguez</LastName>
<ForeName>Raúl</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Requena</LastName>
<ForeName>Francisco</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Imagine Institute of Genetic Diseases, INSERM, 75015 Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Merelo</LastName>
<ForeName>Juan Julián</ForeName>
<Initials>JJ</Initials>
<AffiliationInfo><Affiliation>Department of Computer Architecture and Technology, Universidad de Granada, 18071 Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lacasaña</LastName>
<ForeName>Marina</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Andalusian School of Public Health (EASP), 18011 Granada, Spain; Ciber de Epidemiología y Salud Pública (CIBERESP), Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>de Dios Luna</LastName>
<ForeName>Juan</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Statistics, University of Granada, 18071 Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Díaz-Mochón</LastName>
<ForeName>Juan J</ForeName>
<Initials>JJ</Initials>
<AffiliationInfo><Affiliation>GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lorente</LastName>
<ForeName>Jose A</ForeName>
<Initials>JA</Initials>
<AffiliationInfo><Affiliation>GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Carmona-Sáez</LastName>
<ForeName>Pedro</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; Department of Statistics, University of Granada, 18071 Granada, Spain. Electronic address: pedro.carmona@genyo.es.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>08</Month>
<Day>04</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="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017934" MajorTopicYN="Y">Coronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="Y">Coronavirus Infections</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="Y">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D052638" MajorTopicYN="N">Particulate Matter</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="Y">Pneumonia, Viral</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Pollution</Keyword>
<Keyword MajorTopicYN="N">RStudio Shiny framework</Keyword>
<Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
<Keyword MajorTopicYN="N">Spatio-temporal analysis</Keyword>
<Keyword MajorTopicYN="N">Weather variables</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>
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<affiliations><list><country><li>Espagne</li>
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<tree><country name="Espagne"><region name="Catalogne"><name sortKey="Martorell Marugan, Jordi" sort="Martorell Marugan, Jordi" uniqKey="Martorell Marugan J" first="Jordi" last="Martorell-Marugán">Jordi Martorell-Marugán</name>
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<name sortKey="Carmona Saez, Pedro" sort="Carmona Saez, Pedro" uniqKey="Carmona Saez P" first="Pedro" last="Carmona-Sáez">Pedro Carmona-Sáez</name>
<name sortKey="De Dios Luna, Juan" sort="De Dios Luna, Juan" uniqKey="De Dios Luna J" first="Juan" last="De Dios Luna">Juan De Dios Luna</name>
<name sortKey="Diaz Moch N, Juan J" sort="Diaz Moch N, Juan J" uniqKey="Diaz Moch N J" first="Juan J" last="Díaz-Moch N">Juan J. Díaz-Moch N</name>
<name sortKey="Garcia Moreno, Adrian" sort="Garcia Moreno, Adrian" uniqKey="Garcia Moreno A" first="Adrián" last="García-Moreno">Adrián García-Moreno</name>
<name sortKey="L Pez Dominguez, Raul" sort="L Pez Dominguez, Raul" uniqKey="L Pez Dominguez R" first="Raúl" last="L Pez-Domínguez">Raúl L Pez-Domínguez</name>
<name sortKey="Lacasa A, Marina" sort="Lacasa A, Marina" uniqKey="Lacasa A M" first="Marina" last="Lacasa A">Marina Lacasa A</name>
<name sortKey="Lorente, Jose A" sort="Lorente, Jose A" uniqKey="Lorente J" first="Jose A" last="Lorente">Jose A. Lorente</name>
<name sortKey="Merelo, Juan Julian" sort="Merelo, Juan Julian" uniqKey="Merelo J" first="Juan Julián" last="Merelo">Juan Julián Merelo</name>
<name sortKey="Villatoro Garcia, Juan Antonio" sort="Villatoro Garcia, Juan Antonio" uniqKey="Villatoro Garcia J" first="Juan Antonio" last="Villatoro-García">Juan Antonio Villatoro-García</name>
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<country name="France"><region name="Île-de-France"><name sortKey="Requena, Francisco" sort="Requena, Francisco" uniqKey="Requena F" first="Francisco" last="Requena">Francisco Requena</name>
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DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.

DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.

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