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. 2024 Apr;9(4):e218-e230.
doi: 10.1016/S2468-2667(24)00020-3.

Future HIV epidemic trajectories in South Africa and projected long-term consequences of reductions in general population HIV testing: a mathematical modelling study

Affiliations

Future HIV epidemic trajectories in South Africa and projected long-term consequences of reductions in general population HIV testing: a mathematical modelling study

Stefan P Rautenbach et al. Lancet Public Health. 2024 Apr.

Abstract

Background: After successful intensive interventions to rapidly increase HIV awareness, coverage of antiretroviral therapy (ART), and viral suppression, HIV programmes in eastern and southern Africa are considering scaling back of some interventions, such as widespread general population HIV testing. We aimed to model whether scaling back of general population HIV testing in South Africa could result in a resurgence of the HIV epidemic or substantial slowing of declines in HIV incidence, resulting in increased long-term ART.

Methods: In this modelling study, we used the Thembisa 4.5 model (a deterministic compartmental model of HIV transmission in South Africa) to project the South African HIV epidemic to 2100 assuming the continuation of 2022 epidemiological conditions and HIV programme implementation. We assessed how implementing reductions in general population HIV testing services in 2025 (while maintaining antenatal, symptom-based, and risk-based testing modalities and other HIV prevention services at 2022 levels) would affect HIV incidence and prevalence among people aged 15-49 years, the year in which incidence would reach one per 1000 people aged 15-49 years (the threshold for virtual elimination of HIV), and associated costs, as well as numbers of additional new HIV infections and AIDS-related deaths. We also modelled the effects of delaying reductions in general population testing services by 5-year increments. Additionally, we modelled the potential effects of reductions in general population testing services in combination with increases or decreases in ART interruption rates (ie, the annual rate at which people who are on ART discontinue ART) and condom usage in 2025-35.

Findings: If general population HIV testing services and the HIV risk environment of 2022 were maintained, we projected that HIV incidence would steadily decline from 4·95 (95% CI 4·40-5·34) per 1000 population in 2025 to 0·14 (0·05-0·31) per 1000 in 2100, and that the so-called virtual elimination threshold of less than one new infection per 1000 population per year would be reached in 2055 (95% CI 2051-2060). Scaling back of general population HIV testing services by 25%, 50%, or 75% in 2025 delayed time to reaching the virtual elimination threshold by 5, 13, or 35 years, respectively, whereas complete cessation of general population testing would result in the threshold not being attained by 2100. Although the incidence of HIV continued to fall when general HIV testing services were reduced, our modelling suggested that, with reductions of between 25% and 100%, between 396 000 (95% CI 299 000-474 000) and 2·50 million (1·97 million-2·98 million) additional HIV infections and between 115 000 (94 000-135 000) and 795 000 (670 000-926 000) additional AIDS-related deaths would occur between 2025 and 2075, depending on the extent of reduction in testing. Delaying reductions in general population HIV testing services for 5-25 years mitigated some of these effects. HIV testing accounted for only 5% of total programmatic costs at baseline; reducing testing moderately reduced short-term total annual costs, but increased annual costs after 25 years. Increases in ART interruption and reductions in condom usage were projected to slow the decline in incidence and increase the coverage of general HIV testing services required to control transmission but did not cause rapid resurgence in HIV infections.

Interpretation: Our modelling suggests that scaling back of general population HIV testing would not result in a resurgence of HIV infections, but would delay attainment of incidence-reduction targets and result in long-term increases in HIV infections, AIDS-related deaths, and costs (via increased need for ART provision). HIV programmes need to balance short-term potential resource savings with long-term epidemic control objectives.

Funding: Bill & Melinda Gates Foundation.

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Conflict of interest statement

Declaration of interests LKW reports personal fees from Pacific Life Re and WHO, honoraria from The Lancet Infectious Diseases and the Luxembourg National Research Fund, and participation on a data safety monitoring board for the Wellcome Trust. LFJ reports participation on the scientific advisory board for the GIFT device (under development at the University of Cape Town, Cape Town, South Africa). JWI-E reports personal fees from BAO Systems and travel support from UNAIDS, the South African Centre for Epidemiological Modelling and Analysis, and the International AIDS Society. All other authors declare no competing interests.

Figures

Figure 1
Figure 1
Projected effects of reducing general population HIV testing services in South Africa in 2025 on HIV incidence and programmatic outcomes (A) Projected HIV incidence per 1000 HIV-negative people aged 15–49 years per year. The dotted line represents an incidence of one new infection per 1000 people per year (the threshold for so-called virtual elimination). (B) Projected HIV prevalence among people aged 15–49 years. (C) Projected ART coverage among people aged 15 years or older with HIV. (D) Projected number of HIV tests per 100 people older than 15 years per year. (E) Projected number of positive HIV tests per 100 people aged 15 years or older. (F) Projected proportion of HIV tests taken by people aged 15 years or older that were positive. In A–F, trend lines represent posterior means and shaded areas are 95% CIs. ART=antiretroviral therapy.
Figure 2
Figure 2
Projected effects of reducing general population HIV testing services in South Africa in 2025 on HIV testing and treatment costs (A) Incremental difference in undiscounted annual programme costs, 2025–2100, when reducing general population HIV testing services in 2025 compared with the status quo scenario (baseline). The dashed line represents the posterior mean change in total cost summed for all three components and shaded areas are 95% CIs for the change in total costs. (B) Incremental difference in cumulative programme costs as a proportion of the cumulative status quo (baseline) cost after reducing general population HIV testing services in 2025. Cumulative costs are reported for 0% (undiscounted), 3%, and 6% discounts per year. The grey squares represent changes in total cost summed for all three components.
Figure 3
Figure 3
Projected HIV incidence in 2100 and cumulative epidemiological effects over 50 years after reducing general population HIV testing services, by year in which testing was reduced (A) Projected HIV incidence per 1000 people aged 15–49 years in 2100. The dotted line represents an incidence of one new HIV infection per 1000 people per year (the threshold for so-called virtual elimination). (B) Projected additional HIV infections in people aged 15 years or older over 50 years. (C) Additional AIDS-related deaths over 50 years. Data are posterior means; error bars represent 95% CIs.
Figure 4
Figure 4
Heatmaps of the effects of reductions in general population HIV testing from 2025 and changes in ART coverage (A) Projected HIV incidence per 1000 people aged 15–49 years in 2100. (B) Year in which HIV incidence is projected to fall below one new infection per 1000 people aged 15–49 years (the threshold for so-called virtual elimination of HIV). The grey area represents combinations of reduced general population testing and ART coverage that result in the virtual elimination threshold not being met by 2100. (C) Projected additional HIV infections over 50 years (ie, between 2025 and 2075). (D) Projected additional AIDS-related deaths over 50 years (ie, between 2025 and 2075). For all heatmaps, modelled changes in ART coverage were implemented over 10 years from 2025; the y-axis shows ART coverage in 2035. In all heatmaps, the dotted baseline represents the ART coverage in 2035 in the status quo scenario. ART=antiretroviral therapy.
Figure 5
Figure 5
Heatmaps of the effects of reductions in general HIV testing from 2025 and changes in condom use (A) Projected HIV incidence per 1000 people aged 15–49 years in 2100. (B) Year in which HIV incidence is projected to fall below one new infection per 1000 people aged 15–49 years (the threshold for so-called virtual elimination of HIV). The grey area represents combinations of reduced general testing and condom use that result in the virtual elimination threshold not being met by 2100. (C) Projected additional HIV infections over 50 years (ie, between 2025 and 2075). (D) Projected additional AIDS-related deaths over 50 years (ie, between 2025 and 2075). For all heatmaps, modelled changes in condom use were implemented over 10 years from 2025; the y-axis shows the proportion of sexual acts in which condoms were used in 2035. In all heatmaps, the dotted baseline represents the proportion of sexual acts in which condoms were used in 2035 in the status quo scenario.

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