Governments worldwide have implemented countless policies in response to the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 such policy announcements across more than 195 countries. The dataset is updated daily, with a 5-day lag for validity checking. We document policies across numerous dimensions, including the type of policy, national versus subnational enforcement, the specific human group and geographical region targeted by the policy, and the time frame within which each policy is implemented. We further analyse the dataset using a Bayesian measurement model, which shows the quick acceleration of the adoption of costly policies across countries beginning in mid-March 2020 through 24 May 2020. We believe that these data will be instrumental for helping policymakers and researchers assess, among other objectives, how effective different policies are in addressing the spread and health outcomes of COVID-19.

世界各国政府为应对 COVID-19 大流行实施了无数政策。我们首次公开发布了一个大型手工编码数据集，其中包含超过 195 个国家/地区的 13,000 多个此类政策公告。数据集每天更新，有效性检查有 5 天的延迟。我们记录了多个维度的政策，包括政策类型、国家与地方执法、政策针对的特定人群和地理区域，以及每项政策的实施时间范围。我们使用贝叶斯测量模型进一步分析数据集，该模型显示，从 2020 年 3 月中旬到 2020 年 5 月 24 日，各国迅速加速采用昂贵的政策。我们相信这些数据将有助于帮助政策制定者和研究人员评估，