The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease, governments worldwide have implemented non-pharmaceutical interventions (NPIs) to slow the spread of the virus. Examples of such interventions include community actions, such as school closures or restrictions on mass gatherings, individual actions including mask wearing and self-quarantine, and environmental actions such as cleaning public facilities. We present the Worldwide Non-pharmaceutical Interventions Tracker for COVID-19 (WNTRAC), a comprehensive dataset consisting of over 6,000 NPIs implemented worldwide since the start of the pandemic. WNTRAC covers NPIs implemented across 261 countries and territories, and classifies NPIs into a taxonomy of 16 NPI types. NPIs are automatically extracted daily from Wikipedia articles using natural language processing techniques and then manually validated to ensure accuracy and veracity. We hope that the dataset will prove valuable for policymakers, public health leaders, and researchers in modeling and analysis efforts to control the spread of COVID-19.

2019 年冠状病毒病 (COVID-19) 全球大流行已经改变了全世界人类社会的几乎各个方面。针对一种新出现的高度传播性疾病，世界各国政府已实施非药物干预措施（NPI）来减缓病毒的传播。此类干预措施的例子包括社区行动（例如关闭学校或限制群众集会）、个人行动（包括戴口罩和自我隔离）以及环境行动（例如清洁公共设施）。我们推出了全球 COVID-19 非药物干预追踪系统 (WNTRAC)，这是一个综合数据集，包含自大流行开始以来全球实施的 6,000 多个 NPI。 WNTRAC 涵盖了 261 个国家和地区实施的 NPI，并将 NPI 分为 16 个 NPI 类型。 NPI 每天使用自然语言处理技术从维基百科文章中自动提取，然后进行手动验证以确保准确性和真实性。我们希望该数据集对于政策制定者、公共卫生领导者和研究人员在控制 COVID-19 传播的建模和分析工作中具有价值。