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

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

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.
langue originaleAnglais
Pages (de - à)106939
Nombre de pages1
journalData in Brief
Volume35
Numéro de publication106939
Date de mise en ligne précoce3 mars 2021
Les DOIs
étatPublié - 1 avr. 2021

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