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

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About: DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain
Creator	Díaz-Mochón, Juan Lorente, Jose Antonio Villatoro-García, Juan Carmona-Sáez, Pedro De Dios Luna, Juan García-Moreno, Adrián Lacasaña, Marina López-Domínguez, Raúl Martorell-Marugán, Jordi Merelo, Juan Requena, Francisco
Source	Elsevier; Medline; PMC
abstract	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.
has issue date	2020-08-04(xsd:dateTime)
bibo:doi	10.1016/j.scitotenv.2020.141424
bibo:pmid	32853931
has license	els-covid
sha1sum (hex)	f715d29227ad03d17b0325df5efecc31f1cf47f5
schema:url	https://doi.org/10.1016/j.scitotenv.2020.141424
resource representing a document's title	DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain
has PubMed Central identifier	PMC7399783
has PubMed identifier	32853931
schema:publication	Sci Total Environ
resource representing a document's body	covid:f715d29227ad03d17b0325df5efecc31f1cf47f5#body_text
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