@misc{10481/97925,
year = {2020},
month = {8},
url = {https://hdl.handle.net/10481/97925},
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 factorswith 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 projectwith an interactive web frontend that integrates
COVID-19 and environmental data in Spain. DatAC is providedwith powerful data analysis and statistical
capabilities that allow users to explore and analyze individual trends and associations among the provided data.},
organization = {Ministerio de
Economía, Industria y Competitividad},
organization = {Consejería de Economia, Conocimiento, Empresas y Universidad, Junta
de Andalucía [grant number CV20-36723]},
publisher = {Elsevier},
keywords = {SARS-CoV-2},
keywords = {Pollution},
keywords = {Weather variables},
title = {DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain},
doi = {10.1016/j.scitotenv.2020.141424},
author = {Martorell Marugán, Jordi and Villatoro García, Juan Antonio and García-Moreno, Adrian and López Domínguez, Raúl and Requena Guerrero, Francisco and Merelo Guervos, Juan Julián and Lacasaña, Marina and Luna Del Castillo, Juan De Dios and Diaz Mochon, Juan José and Lorente Acosta, José Antonio and Carmona Sáez, Pedro},
}