估计难以采样的人口规模:2023年使用私有化网络采样对卢旺达女性性工作者和性剥削未成年人的综合研究
Elysée Tuyishime1, Catherine Kayitesi2, Eric Remera3
1University of Rwanda-African Center of Excellence in Data Science (ACE-DS), Kigali, Rwanda.
PloS one
|August 21, 2025
概括
卢旺达
科学领域:
- 流行病学
- 人口研究
- 公共卫生
背景情况:
- 女性性工作者面临艾滋病毒和性传播疾病的风险较高,与一般女性人口相比,感染负担更高.
- 准确的FSW人口规模估计对于设计和实施有效的HIV/STI预防计划至关重要.
- 了解FSW人口统计数据对于评估与国家和全球艾滋病毒控制目标的表现至关重要.
研究的目的:
- 确定卢旺达女性性工作者的最新国家人口规模估计 (PSE).
- 绘制卢旺达的FSW和性剥削未成年人的地理分布.
- 为艾滋病毒/性传播疾病预防计划和资源分配提供必要的数据.
主要方法:
- 使用私有化网络采样 (PNS),一种采用受访者驱动采样 (RDS) 整合生物行为调查 (BBS) 网络数据的PSE方法.
- 从2023年5月8日到6月24日, 在10个研究地点收集数据.
- 使用了三种PNS估计器:交叉样本,交叉变异和交叉网络来估计人口规模.
主要成果:
- 全国FSW人口估计为98,587名 (95% CI: 82,978-114,196),占成年女性的2. 3%.
- 地理分布:基加利 (5.3%),西省 (2.2%),东/南省 (1.7%),北省 (1.6%) 的成年女性为FSW.
结论:
- 这项研究标志着PNS在卢旺达的首次实施,为难以接触的群体提供了方法.
- 在卢旺达,PSE数据对于省级计划设计,规划和实施至关重要.
- 这些估计将支持政策变化,资源宣传以及持续控制艾滋病的努力.
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