Center for Modeling and Analysis, Avenir Health, Glastonbury, Connecticut, USA.
MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
J Int AIDS Soc. 2021 Sep;24 Suppl 5(Suppl 5):e25777. doi: 10.1002/jia2.25777.
The Case Surveillance and Vital Registration (CSAVR) model within Spectrum estimates HIV incidence trends from surveillance data on numbers of new HIV diagnoses and HIV-related deaths. This article describes developments of the CSAVR tool to more flexibly model diagnosis rates over time, estimate incidence patterns by sex and age group and by key population group.
We modelled HIV diagnosis rate trends as a mixture of three factors, including temporal and opportunistic infection components. The tool was expanded to estimate incidence rate ratios by sex and age for countries with disaggregated reporting of new HIV diagnoses and AIDS deaths, and to account for information on key populations such as men who have sex with men (MSM), males who inject drugs (MWID), female sex workers (FSW) and females who inject drugs (FWID). We used a Bayesian framework to calibrate the tool in 71 high-income or low-HIV burden countries.
Across countries, an estimated median 89% (interquartile range [IQR]: 78%-96%) of HIV-positive adults knew their status in 2019. Mean CD4 counts at diagnosis were stable over time, with a median of 456 cells/μl (IQR: 391-508) across countries in 2019. In European countries reporting new HIV diagnoses among key populations, median estimated proportions of males that are MSM and MWID was 1.3% (IQR: 0.9%-2.0%) and 0.56% (IQR: 0.51%-0.64%), respectively. The median estimated proportions of females that are FSW and FWID were 0.36% (IQR: 0.27%-0.45%) and 0.14 (IQR: 0.13%-0.15%), respectively. HIV incidence per 100 person-years increased among MSM, with median estimates reaching 0.43 (IQR: 0.29-1.73) in 2019, but remained stable in MWID, FSW and FWID, at around 0.12 (IQR: 0.04-1.9), 0.09 (IQR: 0.06-0.69) and 0.13% (IQR: 0.08%-0.91%) in 2019, respectively. Knowledge of HIV status among HIV-positive adults gradually increased since the early 1990s to exceed 75% in more than 75% of countries in 2019 among each key population.
CSAVR offers an approach to using routine surveillance and vital registration data to estimate and project trends in both HIV incidence and knowledge of HIV status.
Spectrum 中的病例监测和生命登记(CSAVR)模型根据新的 HIV 诊断和与 HIV 相关的死亡人数的监测数据估计 HIV 发病率趋势。本文描述了 CSAVR 工具的开发,以更灵活地模拟随时间变化的诊断率,按性别和年龄组以及关键人群组估计发病率模式。
我们将 HIV 诊断率趋势建模为三个因素的混合,包括时间和机会性感染因素。该工具扩展到估计按性别和年龄划分的新 HIV 诊断和艾滋病死亡报告国家的发病率比,并考虑到关键人群的信息,如男男性行为者(MSM)、男性注射毒品者(MWID)、女性性工作者(FSW)和女性注射毒品者(FWID)。我们使用贝叶斯框架在 71 个高收入或低 HIV 负担国家校准该工具。
在各国,估计中位数 89%(四分位距 [IQR]:78%-96%)的 HIV 阳性成年人在 2019 年知晓自己的状况。诊断时的平均 CD4 计数随着时间的推移保持稳定,各国 2019 年的中位数为 456 个细胞/μl(IQR:391-508)。在报告关键人群中新的 HIV 诊断的欧洲国家中,估计的男性 MSM 和 MWID 比例的中位数分别为 1.3%(IQR:0.9%-2.0%)和 0.56%(IQR:0.51%-0.64%)。估计的女性 FSW 和 FWID 比例的中位数分别为 0.36%(IQR:0.27%-0.45%)和 0.14(IQR:0.13%-0.15%)。MSM 的每 100 人年 HIV 发病率增加,2019 年的中位数估计值达到 0.43(IQR:0.29-1.73),但 MWID、FSW 和 FWID 的发病率保持稳定,分别约为 0.12(IQR:0.04-1.9)、0.09(IQR:0.06-0.69)和 0.13%(IQR:0.08%-0.91%)。自 20 世纪 90 年代初以来,HIV 阳性成年人中对 HIV 状况的认识逐渐提高,到 2019 年,超过 75%的国家中,每个关键人群的认识率都超过了 75%。
CSAVR 提供了一种利用常规监测和生命登记数据来估计和预测 HIV 发病率和 HIV 状况知识趋势的方法。