Strategic Information Division, HIV/AIDS, Hepatitis, STD, and TB Administration (HAHSTA), District of Columbia Department of Health, Government of the District of Columbia, Washington, DC, USA.
Clin Infect Dis. 2021 Sep 7;73(5):e1080-e1088. doi: 10.1093/cid/ciaa1761.
Mode of transmission-based hotspots is a smart approach to HIV mitigation, yet remains poorly evaluated and implemented in the United States. The primary aim was to identifying mode of transmission-based hotspots and populations at risk of lower viral suppression to assist in targeted planning and implementation of programs.
We implemented spatial statistics to identify global-local hotspots and regression analysis to find populations at risk of lower viral suppression within hotspots. Data were obtained from the District of Columbia's (DC's) active surveillance system, which were geocoded based on current residence address.
The analysis identified 6001 HIV-positive men who have sex with men (MSM) and 6077 HIV-positive non-MSM (N = 12 078) living in DC at the end of 2018. The hotspots for MSM were central DC and non-MSM in south DC. Trends of viral suppression within MSM hotspots showed plateauing and, among non-MSM, showed decline. Regression analysis showed MSM aged 21-25 (RR: 3.199; 95% CI: 1.832-5.586) and not linked to care (8.592; 2.907-25.398) were at higher risk of being virally unsuppressed within the hotspots. For non-MSM we found those aged 12-18 (9.025; 3.314-2.581) and with unknown linkages (6.087; 3.346-13.848) were at higher risk of being virally unsuppressed within the hotspots.
Our analysis provides a model that may be used by other jurisdictions to identify areas of priority and plan treatment-adherence programs using surveillance data. Attaining viral suppression is crucial in reducing new diagnoses; a spatial approach can be an important tool in Ending the HIV Epidemic.
基于传播模式的热点是一种减少 HIV 传播的明智方法,但在美国仍未得到充分评估和实施。主要目的是确定基于传播模式的热点以及处于病毒载量抑制率较低风险的人群,以协助有针对性地规划和实施项目。
我们采用空间统计学来确定全球-局部热点,并采用回归分析来确定热点内处于病毒载量抑制率较低风险的人群。数据来自哥伦比亚特区(DC)的主动监测系统,这些数据基于当前居住地址进行地理编码。
该分析确定了 2018 年底居住在 DC 的 6001 名 HIV 阳性男男性行为者(MSM)和 6077 名 HIV 阳性非男男性行为者(N=12078)。MSM 的热点为特区中心区,而非 MSM 的热点在特区南部。MSM 热点内病毒抑制趋势趋于平稳,而非 MSM 则呈下降趋势。回归分析显示,21-25 岁的 MSM(RR:3.199;95%CI:1.832-5.586)和未与医疗保健机构建立联系的 MSM(8.592;2.907-25.398)在热点内病毒载量抑制率较低的风险更高。对于非 MSM,我们发现 12-18 岁的人群(9.025;3.314-2.581)和未明确联系的人群(6.087;3.346-13.848)在热点内病毒载量抑制率较低的风险更高。
我们的分析提供了一种模型,其他司法管辖区可以使用该模型来根据监测数据确定优先区域,并规划治疗依从性项目。实现病毒载量抑制对于减少新的 HIV 诊断至关重要;空间方法可以成为终结 HIV 流行的重要工具。