Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
J Acquir Immune Defic Syndr. 2018 May 1;78(1):1-8. doi: 10.1097/QAI.0000000000001632.
Population mixing patterns can greatly inform allocation of HIV prevention interventions such as treatment as prevention or preexposure prophylaxis. Characterizing contact patterns among subgroups can help identify the specific combinations of contact expected to result in the greatest number of new infections.
Baseline data from an intervention to reduce HIV-related risk behaviors in male persons who inject drugs (PWID) in the Northern Vietnamese province of Thai Nguyen were used for the analysis.
Egocentric network data were provided by PWID who reported any drug-injection equipment sharing in the previous 3 months. Age-dependent mixing was assessed to explore its epidemiological implications on risk of HIV transmission risk (among those HIV-infected) and HIV acquisition risk (among those not infected) in PWID.
A total of 1139 PWID collectively reported 2070 equipment-sharing partnerships in the previous 3 months. Mixing by age identified the 30-34 and 35-39 years age groups as the groups from whom the largest number of new infections was transmitted, making them primary targets for treatment as prevention. Among the uninfected, 25-29, 30-35, and 35-39 years age groups had the highest HIV acquisition rate, making them the primary targets for preexposure prophylaxis.
Collection and analysis of contact patterns in PWID is feasible and can greatly inform infectious disease dynamics and targeting of appropriate interventions. Results presented also provide much needed empirical data on mixing to improve mathematical models of disease transmission in this population.
人口混合模式可以为艾滋病预防干预措施(如治疗即预防或暴露前预防)的分配提供重要信息。描述亚组之间的接触模式有助于确定预期会导致新感染人数最多的特定接触组合。
分析使用了越南北部泰宁省一项减少男性注射吸毒者(PWID)与艾滋病相关风险行为的干预措施的基线数据。
报告过去 3 个月内任何共用药物注射设备的 PWID 提供了以自我为中心的网络数据。评估年龄依赖性混合,以探索其对 HIV 传播风险(在感染 HIV 的人群中)和 HIV 感染风险(在未感染的人群中)的流行病学意义。
共有 1139 名 PWID 在过去 3 个月内共报告了 2070 次设备共享伙伴关系。按年龄分组的混合确定了 30-34 岁和 35-39 岁年龄组是传播新感染的最大数量的群体,使他们成为治疗即预防的主要目标。在未感染者中,25-29 岁、30-35 岁和 35-39 岁年龄组的 HIV 感染率最高,使他们成为暴露前预防的主要目标。
收集和分析 PWID 的接触模式是可行的,可以极大地了解传染病动态和针对适当干预措施的目标。提出的结果还提供了在这一人群中改善疾病传播数学模型所需的急需的混合经验数据。