在高负担环境中对注射毒品的人群中评估空间定向的艾滋病毒干预措施和减少伤害的服务
medRxiv : the preprint server for health sciences
|February 23, 2026
概括
针对新德里的受欢迎的注射毒品地点进行艾滋病毒干预,显著减少了注射毒品 (PWID) 的人群中的新艾滋病毒感染. 优先考虑空间上不同的场馆,最大限度地提高服务影响,降低发生率.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 数学建模的数学建模
背景情况:
- 在印度,注射毒品的人 (PWID) 面临着高艾滋病毒发病率.
- 目前对PWID的艾滋病毒和危害减少服务覆盖率不足于最佳水平.
- 需要新的服务交付点来改善艾滋病毒预防.
研究的目的:
- 为了评估在药物注射场所的空间集中HIV干预措施的有效性.
- 在新德里的PWID中模拟艾滋病毒传播动态.
- 确定最佳策略,以扩大减少伤害服务的规模.
主要方法:
- 开发了一个基于个体的动态艾滋病毒传播模型.
- 利用了新德里的2512名PWID社会测量研究的数据.
- 在各种空间定位和服务覆盖场景下模拟的艾滋病毒发病率.
主要成果:
- 当干预措施部署在经常访问的注射场所时,观察到预测的艾滋病毒发病率显著下降.
- 在最多人参观的场地提供全方位服务,使发病率从6.8降至2.7例/100人/年.
- 针对12个访问量最多的场所,使得发病率降低到1.3例/100人/年.
- 按空间集群优先考虑场馆,而不是整体受欢迎程度,吸引了更多的个人,并产生了更大的影响.
结论:
- 在高频率药物注射场所进行的以空间为重点的艾滋病毒干预措施有效地减少了PWID中的艾滋病毒发病率.
- 服务的战略扩展在空间上不同的场所,与最小的重叠最大限度地影响干预.
- 建模为优化PWID在HIV预防计划中的资源配置提供了有价值的工具.
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