开放数据用于COVID-19政策分析和绘制地图
Rebecca Katz1, Kate Toole1, Hailey Robertson1
1Center for Global Health Science and Security, Georgetown University, Washington, DC, USA.
Scientific data
|July 27, 2023
概括
政策的COVID分析和映射 (COVID AMP) 数据集为政府对大流行病反应提供了全面的全球概述. 它详细介绍了150个国家的近5万项政策,帮助未来的法律流行病学和政治学研究.
科学领域:
- 公共卫生 公共卫生
- 政治科学 政治科学是指政治学.
- 法律流行病学 法律流行病学
背景情况:
- 从2020年春季开始,各国政府在全球范围内制定了各种政策来管理COVID-19大流行.
- 现有的研究往往只集中在社交距离措施上.
- 需要一个全面的数据集来捕捉政府的流行病应对策略的全部范围.
研究的目的:
- 引入COVID分析和政策映射 (COVID AMP) 数据集.
- 为全球的流行病政策实施提供广泛的,全政府的视角.
- 创建一个关键的数据源,用于分析卫生危机期间的全球治理策略.
主要方法:
- 编制了从2020年1月到2022年6月的近5万项政策措施的数据集.
- 包括来自150个国家,124个中间区域和235个地方区域的数据.
- 每项政策编码多达40个结构化和非结构化特征,包括原始来源和文本.
主要成果:
- COVID AMP 数据集提供了前所未有的广泛的流行病政策捕获.
- 它涵盖了超越社交距离的各种政策类型.
- 数据包括每个政策措施的详细特征.
结论:
- COVID AMP 数据集是法律流行病学和政治学研究的重要资源.
- 它促进了对全球流行病治理和政策有效性的深入分析.
- 这一全面的数据集支持未来关于公共卫生危机管理的研究.
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