Literature DB >> 33686370

COVID-19 in Europe: Dataset at a sub-national level.

Hichem Omrani1, Madalina Modroiu1, Javier Lenzi1, Bilel Omrani2,3, Zied Said1, Marc Suhrcke1,4, Anastase Tchicaya1, Nhien Nguyen5, Benoit Parmentier6.   

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.
© 2021 Published by Elsevier Inc.

Entities:  

Keywords:  Air pollution; COVID-19 infections; COVID-19 mortality; Environment; Europe; Health; NUTS3; SARS-CoV-2 coronavirus disease; Socioeconomic-demographic factors

Year:  2021        PMID: 33686370      PMCID: PMC7927671          DOI: 10.1016/j.dib.2021.106939

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


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Authors:  Ensheng Dong; Hongru Du; Lauren Gardner
Journal:  Lancet Infect Dis       Date:  2020-02-19       Impact factor: 25.071

  2 in total
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1.  The spatiotemporal evolution of COVID-19 in China and its impact on urban economic resilience.

Authors:  Xueli Wang; Lei Wang; Xuerong Zhang; Fei Fan
Journal:  China Econ Rev       Date:  2022-05-14

2.  Teleworking-An Economic and Social Impact during COVID-19 Pandemic: A Data Mining Analysis.

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Journal:  Int J Environ Res Public Health       Date:  2021-12-28       Impact factor: 3.390

  2 in total

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