COVID-19 in Europe: Dataset at a sub-national level

Hichem Omrani; Madalina Modroiu; Javier Lenzi; Bilel Omrani; Zied Said; Marc Suhrcke; Anastase Tchicaya; Nhien Nguyen; Benoit Parmentier

doi:10.1016/j.dib.2021.106939

COVID-19 in Europe: Dataset at a sub-national level

Data Brief. 2021 Apr:35:106939. doi: 10.1016/j.dib.2021.106939. Epub 2021 Mar 3.

Authors

Hichem Omrani¹, Madalina Modroiu¹, Javier Lenzi¹, Bilel Omrani^{2

3}, Zied Said¹, Marc Suhrcke^{1

4}, Anastase Tchicaya¹, Nhien Nguyen⁵, Benoit Parmentier⁶

Affiliations

¹ Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Luxembourg.
² École Centrale de Lyon, France.
³ Polytechnique Montréal, Canada.
⁴ Centre for Health Economics, University of York, UK.
⁵ Norwegian University of Science and Technology, Norway.
⁶ University of Maryland, USA.

Abstract

The COVID-19 pandemic has hit humanity, straining health care systems, economies, and governments worldwide. In one of the responses to the pandemic, a big global effort has been mounted to collect, analyze, and make data publicly available. However, many of the existing COVID-19 public datasets are (i) aggregated at country level, and (ii) tend not to bring the COVID-19-specific data coupled with socio-demographic, economic, public policy, health, pollution and environmental factors, all of which may be key elements to study the transmission of the SARS-CoV-2 and its severity. To aid the evaluation of the determinants and impact of the COVID-19 pandemic at a large scale, we present here a new dataset with socio-demographic, economic, public policy, health, pollution and environmental factors for the European Union at the small regions level (NUTS3). The database is freely accessible at http://dx.doi.org/10.17632/2ghxnrkr9p.4. This dataset can help to monitor the COVID-19 mortality and infections at the sub-national level and enable analysis that may inform future policymaking.

Keywords: Air pollution; COVID-19 infections; COVID-19 mortality; Environment; Europe; Health; NUTS3; SARS-CoV-2 coronavirus disease; Socioeconomic-demographic factors.