COVID-19 in Europe : Dataset at a sub-national level
| Autor: | Benoit Parmentier, Hichem Omrani, Madalina Modroiu, Zied Said, Anastase Tchicaya, Javier Lenzi, Bilel Omrani, Marc Suhrcke, Nhien Nguyen |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Science (General)
Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computer applications to medicine. Medical informatics Air pollution R858-859.7 Public policy Environment Article air pollution environment health Q1-390 03 medical and health sciences 0302 clinical medicine Health care Pandemic media_common.cataloged_instance National level European union SARS-CoV-2 Coronavirus disease 030304 developmental biology media_common 0303 health sciences COVID-19 mortality Multidisciplinary Public economics business.industry NUTS3 Socioeconomic-demographic factors Europe Scale (social sciences) business COVID-19 infections socio-economic-demographic factors 030217 neurology & neurosurgery |
| Zdroj: | Data in Brief Data in Brief, Vol 35, Iss, Pp 106939-(2021) |
| ISSN: | 2352-3409 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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