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

Autor: Adrian Garcia-Moreno, Raúl López-Domínguez, Juan Antonio Villatoro-García, José A. Lorente, Juan J. Díaz-Mochón, Jordi Martorell-Marugán, Pedro Carmona-Sáez, Francisco Requena, Marina Lacasaña, Juan J. Merelo, Juan de Dios Luna
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Visual analytics
PM10
particulate matter 10 μm or less in diameter
010504 meteorology & atmospheric sciences
Weather variables
010501 environmental sciences
01 natural sciences
Environmental data
PCR
polymerase chain reaction
Pandemic
Global health
Waste Management and Disposal
Air Pollutants
COVID-19
Coronavirus disease 2019
Environmental resource management
PM2.5
particulate matter 2.5 μm or less in diameter
Pollution
ICU
intensive care unit
Geography
CO
carbon monoxide
Coronavirus Infections
NO2
nitrogen dioxide
Environmental Engineering
Coronavirus disease 2019 (COVID-19)
FDR
false discovery rate
Pneumonia
Viral
O3
ozone
Spatio-temporal analysis
SARS-CoV-2
severe acute respiratory syndrome coronavirus 2
Article
Betacoronavirus
CRR
case recovery rate
Air Pollution
Humans
Environmental Chemistry
Pandemics
Air quality index
VOC
volatile organic compound
CFR
case fatality rate
0105 earth and related environmental sciences
business.industry
SARS-CoV-2
COVID-19
RStudio Shiny framework
Sensor fusion
Coronavirus
Spain
SO2
sulfur dioxide
Particulate Matter
Rural area
business
SD
standard deviation
Zdroj: The Science of the Total Environment
Science of The Total Environment
ISSN: 1879-1026
0048-9697
Popis: 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.
Graphical abstract Unlabelled Image
Highlights • DatAC integrates spatio-temporal data of weather, air quality and COVID-19. • NO2, CO, SO2, PM2.5 and PM10 declined after lockdown, while O3 levels rose. • The lockdown impact on rural air quality is smaller than in urban environments. • Current data does not support climatic factors as driving factors of the pandemic.
Databáze: OpenAIRE
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