使用连续横截面调查创建一个回顾性嵌套队列,以确定20个美国城市的艾滋病毒发病率
Janet C Burnett1, Dita Broz1, Julie Berg2
1Division of HIV Prevention, Centers for Disease Control and Prevention.
AIDS (London, England)
|September 13, 2023
概括
这项研究使用重复调查估计了与男性发生性关系的男性 (MSM),注射毒品的人 (PWID) 和异性活跃的人 (HET) 的艾滋病毒发病率. 艾滋病毒发病率在MSM和PWID中最高,特别是年轻的MSM和黑人MSM.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 估计艾滋病毒发病率对于公共卫生干预至关重要.
- 传统的前性队列研究可能是资源密集的.
- 需要创新的方法来有效地跟踪艾滋病毒发病率.
研究的目的:
- 估计美国关键人群 (MSM,PWID,HET) 中的艾滋病毒发病率.
- 开发一种使用连续横截面调查估计艾滋病毒发病率的方法.
- 从现有的监控数据创建回顾性嵌套队列.
主要方法:
- 利用美国20个城市的2008-2019年全国艾滋病毒行为监测数据.
- 通过在四个监测周期中识别重复参与者,构建了回顾性的嵌套队列.
- 使用风险人年和Poisson分布进行差异近似计算的HIV发病率.
主要成果:
- 恢复的队列包括1747名MSM,3708名PWID和1396名HET.
- 观察到的艾滋病毒发病率:2.5/100人/年 (MSM),0.6/100人/年 (PWID) 和0.3/100人/年 (HET).
- 在南方和领土的年轻MSM,黑人MSM和PWID中发现了更高的艾滋病毒发病率.
结论:
- 从重复的横截面调查中模拟队列的方法提供了有效的HIV发病率估计.
- 这些发现与之前的前性队列研究结果一致.
- 这种方法为估计艾滋病毒发病率提供了一个可行的替代策略.
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