Hichem Omrani, Madalina Modroiu, Javier Lenzi, Bilel Omrani, Zied Said, Marc Suhrcke, Anastase Tchicaya, Nhien Nguyen et Benoit Parmentier
Article de revue (2021)
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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 avail- able. 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 environmen- tal 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, pol- lution and environmental factors for the European Union at the small regions level (NUTS3). The database is freely acces- sible 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.
Mots clés
Département: | Département de génie informatique et génie logiciel |
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Organismes subventionnaires: | Luxembourg National Research Fund under the program COVID-19 Fast-Track, SusDens project, which is funded though the INTER program between the FNR-Luxembourg and the FNRS-Belgium |
Numéro de subvention: | COVID-19/2020-1/14718588/COVID-transmission, INTER/FNRS/19/14016367 |
URL de PolyPublie: | https://publications.polymtl.ca/48105/ |
Titre de la revue: | Data in Brief (vol. 35) |
Maison d'édition: | Elsevier |
DOI: | 10.1016/j.dib.2021.106939 |
URL officielle: | https://doi.org/10.1016/j.dib.2021.106939 |
Date du dépôt: | 18 avr. 2023 15:00 |
Dernière modification: | 28 sept. 2024 07:56 |
Citer en APA 7: | Omrani, H., Modroiu, M., Lenzi, J., Omrani, B., Said, Z., Suhrcke, M., Tchicaya, A., Nguyen, N., & Parmentier, B. (2021). COVID-19 in Europe: Dataset at a sub-national level. Data in Brief, 35, 106939 (8 pages). https://doi.org/10.1016/j.dib.2021.106939 |
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