DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.
Identifieur interne : 001967 ( Main/Corpus ); précédent : 001966; suivant : 001968DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.
Auteurs : Jordi Martorell-Marugán ; Juan Antonio Villatoro-García ; Adrián García-Moreno ; Raúl L Pez-Domínguez ; Francisco Requena ; Juan Julián Merelo ; Marina Lacasa A ; Juan De Dios Luna ; Juan J. Díaz-Moch N ; Jose A. Lorente ; Pedro Carmona-SáezSource :
- The Science of the total environment [ 1879-1026 ] ; 2021.
English descriptors
- KwdEn :
- 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, PM2.5, 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
Links to Exploration step
pubmed:32853931Le document en format XML
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<term>Betacoronavirus (MeSH)</term>
<term>COVID-19 (MeSH)</term>
<term>Coronavirus (MeSH)</term>
<term>Coronavirus Infections (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Particulate Matter (analysis)</term>
<term>Pneumonia, Viral (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Spain (epidemiology)</term>
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<term>Coronavirus</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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<Title>The Science of the total environment</Title>
<ISOAbbreviation>Sci Total Environ</ISOAbbreviation>
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<ArticleTitle>DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.</ArticleTitle>
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<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>
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<Language>eng</Language>
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<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>08</Month>
<Day>04</Day>
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<NlmUniqueID>0330500</NlmUniqueID>
<ISSNLinking>0048-9697</ISSNLinking>
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<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>
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</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>
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