Dataset for country profile and mobility analysis in the assessment of COVID19 pandemic

Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number of variables. This dataset comprises (i) sociodemographic characteristics, compiled from 35 datasets obtained at UN Data; (ii) mobility metrics that can assist the analysis of social distancing, from Google Community Mobility Reports and; (iii) daily counts of cases and deaths by COVID-19, from the European Centre for Disease Prevention and Control and the Johns Hopkins University Center for Systems Science and Engineering. This unified dataset ranges from February 15, 2020 to May 7, 2020, a total of 83 days, and is provided as a collection of time series for 131 countries with 192 variables. The pipeline to preprocess and generate the dataset, along with the dataset itself, are versioned with the Data Version Control tool (DVC) and are thus easily reproducible.

解析新冠疫情（COVID-19 pandemic）是一项多学科交叉的复杂研究任务，需纳入大量变量开展分析。本数据集包含三类核心数据：(i) 社会人口统计学特征数据，源自联合国数据平台（UN Data）收录的35份数据集；(ii) 可辅助社交距离措施分析的流动指标数据，来自谷歌社区流动报告（Google Community Mobility Reports）；(iii) 新冠每日确诊与死亡病例数数据，源自欧洲疾病预防控制中心（European Centre for Disease Prevention and Control）以及约翰斯·霍普金斯大学系统科学与工程中心（Johns Hopkins University Center for Systems Science and Engineering）。该统一数据集的时间跨度为2020年2月15日至2020年5月7日，共计83天，以覆盖131个国家、包含192个变量的时间序列集合形式对外发布。本数据集的预处理与生成流程，连同数据集本体，均通过数据版本控制工具（Data Version Control, DVC）进行版本管理，因此具备良好的可复现性。