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COVID-19 in Europe: Dataset at a sub-national level
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927671/ https://www.ncbi.nlm.nih.gov/pubmed/33686370 http://dx.doi.org/10.1016/j.dib.2021.106939 |
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author | Omrani, Hichem Modroiu, Madalina Lenzi, Javier Omrani, Bilel Said, Zied Suhrcke, Marc Tchicaya, Anastase Nguyen, Nhien Parmentier, Benoit |
author_facet | Omrani, Hichem Modroiu, Madalina Lenzi, Javier Omrani, Bilel Said, Zied Suhrcke, Marc Tchicaya, Anastase Nguyen, Nhien Parmentier, Benoit |
author_sort | Omrani, Hichem |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7927671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79276712021-03-04 COVID-19 in Europe: Dataset at a sub-national level Omrani, Hichem Modroiu, Madalina Lenzi, Javier Omrani, Bilel Said, Zied Suhrcke, Marc Tchicaya, Anastase Nguyen, Nhien Parmentier, Benoit Data Brief Data Article 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. Elsevier 2021-03-03 /pmc/articles/PMC7927671/ /pubmed/33686370 http://dx.doi.org/10.1016/j.dib.2021.106939 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Omrani, Hichem Modroiu, Madalina Lenzi, Javier Omrani, Bilel Said, Zied Suhrcke, Marc Tchicaya, Anastase Nguyen, Nhien Parmentier, Benoit COVID-19 in Europe: Dataset at a sub-national level |
title | COVID-19 in Europe: Dataset at a sub-national level |
title_full | COVID-19 in Europe: Dataset at a sub-national level |
title_fullStr | COVID-19 in Europe: Dataset at a sub-national level |
title_full_unstemmed | COVID-19 in Europe: Dataset at a sub-national level |
title_short | COVID-19 in Europe: Dataset at a sub-national level |
title_sort | covid-19 in europe: dataset at a sub-national level |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927671/ https://www.ncbi.nlm.nih.gov/pubmed/33686370 http://dx.doi.org/10.1016/j.dib.2021.106939 |
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