制度类型和数据操纵:来自COVID-19流行病的证据
1Bilkent University.
Journal of health politics, policy and law
|June 5, 2024
概括
与民主政权相比,专制政府更容易操纵健康数据,包括COVID-19统计数据. 这种操纵阻碍了公共卫生工作和国际援助的有效性.
科学领域:
- 政治科学 政治科学是指政治学.
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- COVID-19 流行病为调查健康数据完整性提供了全球背景.
- 了解政治制度与健康数据准确性之间的关系对于公共卫生政策至关重要.
研究的目的:
- 为了确定专制政府是否比民主政府更容易操纵健康数据.
- 确定影响健康数据操纵的民主的特定特征.
主要方法:
- 在主权国家中开发了COVID-19数据操纵的三个指标.
- 对民主的回归指标,控制无意误报.
- 采用机器学习来识别与操纵有关的民主的预测特征.
主要成果:
- 民主与所有三种健康数据操纵指标都有负面关联.
- 反对党缺乏自主权和选举不自由/不公平是数据不足的关键预测因素.
- 稳定性检查证实了民主与数据操纵之间的负面关系.
结论:
- 专制国家的数据操纵限制了公民的自我保护,并阻碍了有效的政策制定.
- 学者和健康倡导者应该考虑对政治自由有限的国家采用替代数据估计方法.
- 政治机构通过数据透明度对人口健康结果产生重大影响.
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