WNTRAC:AI协助跟踪全球范围内为COVID-19实施的非药物干预
WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
摘要:
2019冠状病毒病(COVID-19)全球大流行几乎改变了世界各地人类社会的方方面面。针对一种没有明确治疗或疫苗的新出现的高传染性疾病,世界各国政府已经实施了非药物干预(NPI)以减缓病毒的传播。这类干预措施的例子包括社区行动(如关闭学校、限制大规模集会)、个人行动(如戴口罩、自我隔离)和环境行动(如清洁公共设施)。我们提出了全球COVID-19非药物干预跟踪(WNTRAC),这是一个全面的数据集,包括自大流行开始以来全球实施的6,000多项NPI。WNTRAC涵盖了261个国家和地区实施的NPI,并将NPI措施分为16种NPI类型。NPI指标每天使用自然语言处理技术从维基百科文章中自动提取,并手动验证以确保准确性和真实性。我们希望该数据集对政策制定者、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。
英文摘要:
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 with no definitive treatment or vaccine, governments worldwide have implemented non-pharmaceutical intervention (NPI) to slow the spread of the virus. Examples of such interventions include community actions (e.g. school closures, restrictions on mass gatherings), individual actions (e.g. mask wearing, self-quarantine), and environmental actions (e.g. public facility cleaning). 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 NPI measures into a taxonomy of sixteen NPI types. NPI measures are automatically extracted daily from Wikipedia articles using natural language processing techniques and manually validated to ensure accuracy and veracity. We hope that the dataset is valuable for policymakers, public health leaders, and researchers in modeling and analysis efforts for controlling the spread of COVID-19.
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