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

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

Centre for Health Economics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	106939
Number of pages	8
Journal	Data in Brief
Volume	35
Early online date	3 Mar 2021
DOIs	https://doi.org/10.1016/j.dib.2021.106939
Publication status	Published - 1 Apr 2021

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10.1016/j.dib.2021.106939

COVID-19 in Europe: Dataset at a sub-national level
© 2021 Published by Elsevier Inc
Final published version, 1.13 MBLicence: CC BY

Cite this

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title = "COVID-19 in Europe: Dataset at a sub-national level",

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.",

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AU - Lenzi, Javier

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AU - Said, Zied

AU - Suhrcke, Marc

AU - Tchicaya, Anastase

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AB - 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.

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