评估COVID-19大流行影响的过度死亡率计算:概念和方法问题
Jan P Vandenbroucke1, Neil Pearce1
1Jan P. Vandenbroucke and Neil Pearce are with the Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK. Jan P. Vandenbroucke is also with the Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark, and the Department of Clinical Epidemiology, Leiden University Medical Center, Netherlands.
American journal of public health
|March 28, 2024
概括
过度死亡率分析,对于了解COVID-19至关重要.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 过度死亡率分析被广泛用于评估COVID-19流行病的影响.
- 需要标准化的方法来进行准确的比较.
研究的目的:
- 探索过度死亡率分析的方法方面.
- 定义表现和解释过度死亡数据的最佳实践.
主要方法:
- 讨论了各种过度死亡率 (率,百分比增长) 的指标.
- 检查了年龄/性别标准化和共变量调整的必要性.
- 框架过度死亡率比较作为差异分析.差异分析.
主要成果:
- 在比较中确定了对零值定义的关键考虑因素.
- 强调时间,空间和人口统计细节的重要性.
- 过度死亡率分析对于产生假设是有价值的.
结论:
- 虽然对因果推断没有确定性,但过度死亡率分析可以告知流行病应对的有效性.
- 合理的应用有助于确定公共卫生干预的最佳实践.
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