A structured open dataset of government interventions in response to COVID-19
A structured open dataset of government interventions in response to COVID-19
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DOI：
10.1038/s41597-020-00609-9
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发表时间：
2020-08-27
期刊：
影响因子：
9.8
通讯作者：
Thurner, Stefan
中科院分区：
文献类型：
--
作者：
Desvars-Larrive, Amelie;Dervic, Elma;Thurner, Stefan
为应对新冠肺炎大流行，各国政府实施了广泛的非药物干预措施。监测和记录政府在新冠肺炎危机期间的战略，对于了解疫情的发展至关重要。遵循现有公共信息源的内容分析策略，我们为NPI制定了一种具体的分层编码方案。我们为政府干预措施及其各自的实施时间表生成了一个全面的结构化数据集。为了提高透明度和促进协作验证过程，通过开放的图书馆共享信息源。我们还提供了使用户能够可视化数据集的代码。数据集的标准化和结构便利了国家间比较和评估不同的NPI类别对流行病参数、人口健康指标、经济和人权等方面的影响。该数据集提供了对政府战略的深入洞察，并可成为制定相关大流行准备计划的宝贵工具。我们打算在2020年12月底之前进一步开发和更新这一数据集。
In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020.