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

https://doi.org/10.1016/j.scitotenv.2020.141424Get rights and content

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.

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.

Keywords

SARS-CoV-2
Pollution
Weather variables
RStudio Shiny framework
Spatio-temporal analysis

Abbreviations

CFR
case fatality rate
CO
carbon monoxide
CRR
case recovery rate
COVID-19
Coronavirus disease 2019
FDR
false discovery rate
ICU
intensive care unit
NO2
nitrogen dioxide
O3
ozone
PCR
polymerase chain reaction
PM2.5
particulate matter 2.5 μm or less in diameter
PM10
particulate matter 10 μm or less in diameter
SARS-CoV-2
severe acute respiratory syndrome coronavirus 2
SD
standard deviation
SO2
sulfur dioxide
VOC
volatile organic compound

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1

The authors wish it to be known that, in their opinion, the first two authors should be regarded as Joint First Authors.

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