Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Sci Data. 2020 Aug 27;7(1):286. doi: 10.1038/s41597-020-00610-2.
The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national and local governments, including border restrictions, school closures, mandatory facemask use and stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making in response to the current and future pandemics. In order to estimate the effectiveness of these interventions, detailed descriptions of their timelines, scale and scope are needed. The Health Intervention Tracking for COVID-19 (HIT-COVID) is a curated and standardized global database that catalogues the implementation and relaxation of COVID-19 related PHSM. With a team of over 200 volunteer contributors, we assembled policy timelines for a range of key PHSM aimed at reducing COVID-19 risk for the national and first administrative levels (e.g. provinces and states) globally, including details such as the degree of implementation and targeted populations. We continue to maintain and adapt this database to the changing COVID-19 landscape so it can serve as a resource for researchers and policymakers alike.
COVID-19 大流行促使各国政府和地方政府采取了前所未有的公共卫生和社会措施（PHSM），包括边境限制、学校关闭、强制戴口罩和居家令。量化这些干预措施在减少疾病传播方面的有效性，是针对当前和未来大流行制定合理政策的关键。为了评估这些干预措施的有效性，需要详细说明其时间、规模和范围。COVID-19 健康干预措施追踪（HIT-COVID）是一个经过策划和标准化的全球数据库，用于记录 COVID-19 相关 PHSM 的实施和放宽情况。该数据库有 200 多名志愿者贡献者，我们为全球各国和第一行政级别（如省和州）制定了一系列关键 PHSM 的政策时间表，包括实施程度和目标人群等详细信息。我们继续维护和调整这个数据库，以适应不断变化的 COVID-19 形势，使其成为研究人员和政策制定者的资源。
