用报纸量化中国卫生政策的不确定性:文本挖掘研究
Journal of medical Internet research
|November 14, 2023
概括
这项研究引入了中国的新型卫生政策不确定性 (HPU) 指数,揭示了与COVID-19等重大健康事件相关的重大波动. 该指数突出了中国和美国政策波动的差异,提供了对中国卫生政策环境的见解.
科学领域:
- 公共卫生 公共卫生
- 卫生政策分析 卫生政策分析
- 文本挖掘和数据科学 文本挖掘和数据科学
背景情况:
- 自2003年SARS爆发和2019年COVID-19大流行以来,中国已经实施了许多健康措施.
- 现有的研究缺乏一个全面的指数来量化卫生政策的不确定性,包括中国的波动性,风险和政策特征.
研究的目的:
- 通过使用文本挖掘技术,为中国开发和构建一个卫生政策不确定性 (HPU) 指数.
- 量化卫生政策报告和新闻文章的数量,以反映2003年至2022年的政策不确定性.
主要方法:
- 从2003年到2022年,利用了来自11家有影响力的中国报纸的文章 (Wisenews数据库) 的文本挖掘.
- 根据关键词频率构建了每月的中国HPU指数,通过相关性分析 (r > 0.74) 验证了稳定性.
- 对中国和美国HPU指数进行了比较分析,包括在SARS,COVID-19和可负担医疗法案期间.
主要成果:
- 中国HPU指数表现出显著的波动,与关键健康事件相关.
- 在COVID-19早期 (2020年5月) 中,HPU指数达到502.0的峰值,并在"新十条规则"政策之后,在2022年12月达到613.8的最高点.
- 在中国和美国之间在重大卫生危机和政策时期的HPU指数波动中观察到实质性的差异.
结论:
- 关键卫生政策的变化,重大事件和广泛的传染病显著影响了中国的卫生政策不确定性.
- 不同的政治制度和媒体环境有助于中国和美国之间的HPU趋势明显不同,尽管COVID-19在两国都造成了波动.
- 本研究提出了第一个系统的文本挖掘方法来分析中国的卫生政策不确定性.
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