aLondon School of Hygiene and Tropical Medicine, London, UK bNigeria National Agency for the Control of AIDS, Abuja, Nigeria cUniversity of Manitoba, Winnipeg, Canada.
AIDS. 2013 Oct 23;27(16):2623-35. doi: 10.1097/01.aids.0000432476.22616.2f.
The UNAIDS modes of transmission model (MoT) is a user-friendly model, developed to predict the distribution of new HIV infections among different subgroups. The model has been used in 29 countries to guide interventions. However, there is the risk that the simplifications inherent in the MoT produce misleading findings. Using input data from Nigeria, we compare projections from the MoT with those from a revised model that incorporates additional heterogeneity.
We revised the MoT to explicitly incorporate brothel and street-based sex-work, transactional sex, and HIV-discordant couples. Both models were parameterized using behavioural and epidemiological data from Cross River State, Nigeria. Model projections were compared, and the robustness of the revised model projections to different model assumptions, was investigated.
The original MoT predicts 21% of new infections occur in most-at-risk-populations (MARPs), compared with 45% (40-75%, 95% Crl) once additional heterogeneity and updated parameterization is incorporated. Discordant couples, a subgroup previously not explicitly modelled, are predicted to contribute a third of new HIV infections. In addition, the new findings suggest that women engaging in transactional sex may be an important but previously less recognized risk group, with 16% of infections occurring in this subgroup.
The MoT is an accessible model that can inform intervention priorities. However, the current model may be potentially misleading, with our comparisons in Nigeria suggesting that the model lacks resolution, making it challenging for the user to correctly interpret the nature of the epidemic. Our findings highlight the need for a formal review of the MoT.
UNAIDS 传播模式(MoT)是一个用户友好的模型,旨在预测不同亚组中新的 HIV 感染的分布。该模型已在 29 个国家/地区用于指导干预措施。然而,MoT 中固有的简化可能会产生误导性的结果。使用来自尼日利亚的数据,我们将 MoT 的预测与纳入更多异质性的修订模型的预测进行了比较。
我们修订了 MoT,以明确纳入妓院和街头性工作者、交易性性行为和 HIV 不一致的夫妇。两个模型都使用来自尼日利亚十字河州的行为和流行病学数据进行参数化。比较了模型预测,并研究了修订模型预测对不同模型假设的稳健性。
原始 MoT 预测 21%的新感染发生在高危人群(MARPs)中,而纳入额外异质性和更新参数化后,预测为 45%(40-75%,95%可信区间)。以前未明确建模的 HIV 不一致夫妇,预计将导致三分之一的新 HIV 感染。此外,新发现表明,从事交易性性行为的女性可能是一个重要但以前较少被认识的风险群体,该亚组中有 16%的感染。
MoT 是一个易于使用的模型,可以为干预措施提供信息。然而,目前的模型可能存在潜在的误导性,我们在尼日利亚的比较表明,该模型缺乏分辨率,使用户难以正确解释疫情的性质。我们的研究结果强调需要对 MoT 进行正式审查。