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AI 辅助追踪全球针对 COVID-19 的非药物干预措施。

AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19.

机构信息

IBM Research, Yorktown Heights, USA.

IBM Research, Cambridge, USA.

出版信息

Sci Data. 2021 Mar 25;8(1):94. doi: 10.1038/s41597-021-00878-y.

DOI:10.1038/s41597-021-00878-y
PMID:33767205
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7994304/
Abstract

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.

摘要

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。针对一种新兴的、高度传染性的疾病，世界各国政府已经实施了非药物干预措施（NPIs）来减缓病毒的传播。这些干预措施包括社区行动，如学校关闭或限制群众集会，个人行动包括戴口罩和自我隔离，以及环境行动，如清洁公共设施。我们展示了 2019 年冠状病毒病全球非药物干预措施追踪器（WNTRAC），这是一个包含超过 6000 项自疫情开始以来在全球实施的非药物干预措施的综合数据集。WNTRAC 涵盖了 261 个国家和地区实施的非药物干预措施，并将非药物干预措施分类为 16 种非药物干预措施类型的分类法。非药物干预措施每天使用自然语言处理技术从维基百科文章中自动提取，然后进行人工验证以确保准确性和真实性。我们希望该数据集将为政策制定者、公共卫生领导人以及研究人员在建模和分析努力中控制 COVID-19 的传播方面提供有价值的参考。

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