Norwegian Institute of Public Health, Lovisenberggata 8, 0456, Oslo, Norway.
European Program for Intervention Epidemiology Training, European Centre for Disease Prevention and Control, Stockholm, Sweden.
BMC Infect Dis. 2020 Jun 26;20(1):451. doi: 10.1186/s12879-020-05178-1.
In line with the Joint United Nations Programme on HIV/AIDS (UNAIDS) 90-90-90 target, Norway aims for at least 90% of people living with HIV (PLHIV) to know their HIV-status. We produced current estimates of the number of PLHIV and undiagnosed population in Norway, overall and for six key subpopulations: Norwegian-born men who have sex with men (MSM), migrant MSM, Norwegian-born heterosexuals, migrant Sub-Saharan Africa (SSA)-born heterosexuals, migrant non-SSA-born heterosexuals and people who inject drugs.
We used the European Centre for Disease Prevention and Control (ECDC) HIV Modelling Tool on Norwegian HIV surveillance data through 2018 to estimate incidence, time from infection to diagnosis, PLHIV, and the number and proportion undiagnosed. As surveillance data on CD4 count at diagnosis were not collected in Norway, we ran two models; using default model CD4 assumptions, or a proxy for CD4 distribution based on Danish national surveillance data. We also generated alternative overall PLHIV estimates using the Spectrum AIDS Impact Model, to compare with those obtained from the ECDC tool.
Estimates of the overall number of PLHIV in 2018 using different modelling approaches aligned at approximately 5000. In both ECDC models, the overall number undiagnosed decreased continuously from 2008. The proportion undiagnosed in 2018 was lower using default model CD4 assumptions (7.1% [95%CI: 5.3-8.9%]), than the Danish CD4 proxy (10.2% [8.3-12.1%]). This difference was driven by results for heterosexual migrants. Estimates for Norwegian-born MSM, migrant MSM and Norwegian-born heterosexuals were similar in both models. In these three subpopulations, incidence in 2018 was < 30 new infections, and the number undiagnosed had decreased in recent years. Norwegian-born MSM had the lowest estimated number of undiagnosed infections (45 [30-75], using default CD4 assumptions) and undiagnosed fraction (3.6% [2.4-5.7%], using default CD4 assumptions) in 2018.
Results allow cautious confidence in concluding that Norway has achieved the first UNAIDS 90-90-90 target, and clearly highlight the success of prevention strategies among MSM. Estimates for subpopulations strongly influenced by migration remain less clear, and future modelling should appropriately account for all-cause mortality and out-migration, and adjust for time of in-migration.
为了实现联合国艾滋病规划署(UNAIDS)90-90-90 目标,挪威力争使至少 90%的艾滋病毒感染者(PLHIV)知晓自身的艾滋病毒感染状况。本研究旨在评估挪威目前的 PLHIV 人数和未确诊人群数量,涵盖所有人群以及六个重点亚人群:挪威出生的男男性行为者(MSM)、移民 MSM、挪威出生的异性恋者、移民撒哈拉以南非洲(SSA)出生的异性恋者、移民非 SSA 出生的异性恋者和注射吸毒者。
我们使用欧洲疾病预防控制中心(ECDC)艾滋病毒建模工具,基于截至 2018 年的挪威艾滋病毒监测数据,估计发病率、从感染到诊断的时间、PLHIV 人数以及未确诊人数和比例。由于挪威未收集有关诊断时 CD4 计数的监测数据,我们运行了两个模型;使用默认模型的 CD4 假设,或基于丹麦全国监测数据的 CD4 分布代理。我们还使用 Spectrum AIDS Impact Model 生成了总体 PLHIV 估计值的替代方案,以与 ECDC 工具获得的结果进行比较。
使用不同建模方法,我们估计 2018 年总体 PLHIV 人数大致在 5000 左右。在 ECDC 的两个模型中,整体未确诊人数均从 2008 年开始持续下降。默认模型 CD4 假设下(5.3%-8.9%),2018 年未确诊比例(7.1%)低于丹麦 CD4 代理(8.3%-12.1%)。这一差异主要归因于异性恋移民的结果。两个模型中,挪威出生的 MSM、移民 MSM 和挪威出生的异性恋者的估计值相似。在这三个亚人群中,2018 年的发病率<30 例新感染,且近年来未确诊人数有所减少。挪威出生的 MSM 估计未确诊感染人数(使用默认 CD4 假设为 45[30-75])和未确诊比例(使用默认 CD4 假设为 3.6%[2.4-5.7%])最低。
结果表明,挪威有信心谨慎地得出结论,该国已实现了联合国艾滋病规划署 90-90-90 目标的第一个目标,并且明确突出了男男性行为者预防策略的成功。受移民影响较大的亚人群的估计结果仍不太明确,未来的建模应适当考虑全因死亡率和移民外流,并调整移民时间。