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

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.