绘制和估计伊朗主要受影响人口的规模:方法问题
Mahmoud Khodadost1,2, Hamid Sharifi3, Ahmad Hajebi4,5
1Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Medical journal of the Islamic Republic of Iran
|October 15, 2025
概括
估计关键受影响人群 (KAP),如注射毒品的人 (PWID) 和使用毒品的人 (PWUD) 需要进行方法调整. 我们的研究表明,解决热点测绘中的偏差可以显著改善对减少危害计划的人口规模的估计.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 社会科学 社会科学 社会科学
背景情况:
- 准确估计关键受影响人群 (KAPs),如注射毒品的人 (PWID) 和使用毒品的人 (PWUD),对于有效的艾滋病毒/艾滋病预防和减少伤害的举措至关重要.
- 本研究解决了对伊朗人口规模可靠估计的需求,重点关注PWID和PWUD.
研究的目的:
- 为了比较三种方法调整对四个伊朗城市PWID和PWUD大小估计的集体影响.
- 为了提高对减少危害的编程人口规模估计的准确性.
主要方法:
- 利用了来自伊朗的阿瓦兹,萨里,雅兹德和德黑兰的绘图实践数据.
- 应用了三个调整:频率 (对于不经常的参观),重复 (对于多次访问站点) 和隐藏的人口 (对于那些避免站点的人).
- 来自实地调查和国家研究的输入参数,包括伊朗心理健康调查.
主要成果:
- 频率调整大大增加了最初的PWID估计.
- 重复性调整使估计减少了29%37%.
- 隐藏的人口调整,假设76%的PWID避开热点,导致最终估计 (例如,阿瓦兹: 1966,德黑兰: 28),PWUD估计显示了类似的趋势,但受到数据缺口的限制.
结论:
- 标准热点映射低估了KAP大小,没有方法偏差纠正.
- 三步调整框架提高了准确性,但有局限性,包括依赖移动性假设和国家调查数据质量.
- 建议将纠正因子纳入KAP监测,以优化减少危害的资源分配.
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