Omrani Hichem, Modroiu Madalina, Lenzi Javier, Omrani Bilel, Said Zied, Suhrcke Marc, Tchicaya Anastase, Nguyen Nhien, Parmentier Benoit
Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Luxembourg.
École Centrale de Lyon, France.
Data Brief. 2021 Apr;35:106939. doi: 10.1016/j.dib.2021.106939. Epub 2021 Mar 3.
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.
新冠疫情给人类带来了冲击,使全球的医疗系统、经济和政府都不堪重负。作为应对疫情的措施之一,全球展开了一项大规模行动,致力于收集、分析并公开数据。然而,现有的许多新冠疫情公共数据集存在以下问题:(i)是在国家层面汇总的;(ii)往往没有将新冠疫情特定数据与社会人口、经济、公共政策、健康、污染及环境因素相结合,而所有这些因素可能都是研究新冠病毒传播及其严重程度的关键要素。为了有助于大规模评估新冠疫情的决定因素和影响,我们在此展示一个新的数据集,该数据集包含了欧盟小区域层面(NUTS3)的社会人口、经济、公共政策、健康、污染及环境因素。该数据库可通过http://dx.doi.org/10.17632/2ghxnrkr9p.4免费获取。这个数据集有助于在国家以下层面监测新冠疫情的死亡率和感染情况,并能进行相关分析,为未来的政策制定提供参考。