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. 2019 Jan:147:e122.
doi: 10.1017/S0950268818003497.

Modelling the epidemiologic impact of achieving UNAIDS fast-track 90-90-90 and 95-95-95 targets in South Africa

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Modelling the epidemiologic impact of achieving UNAIDS fast-track 90-90-90 and 95-95-95 targets in South Africa

N N Abuelezam et al. Epidemiol Infect. 2019 Jan.

Abstract

UNAIDS established fast-track targets of 73% and 86% viral suppression among human immunodeficiency virus (HIV)-positive individuals by 2020 and 2030, respectively. The epidemiologic impact of achieving these goals is unknown. The HIV-Calibrated Dynamic Model, a calibrated agent-based model of HIV transmission, is used to examine scenarios of incremental improvements to the testing and antiretroviral therapy (ART) continuum in South Africa in 2015. The speed of intervention availability is explored, comparing policies for their predicted effects on incidence, prevalence and achievement of fast-track targets in 2020 and 2030. Moderate (30%) improvements in the continuum will not achieve 2020 or 2030 targets and have modest impacts on incidence and prevalence. Improving the continuum by 80% and increasing availability reduces incidence from 2.54 to 0.80 per 100 person-years (-1.73, interquartile range (IQR): -1.42, -2.13) and prevalence from 26.0 to 24.6% (-1.4 percentage points, IQR: -0.88, -1.92) from 2015 to 2030 and achieves fast track targets in 2020 and 2030. Achieving 90-90-90 in South Africa is possible with large improvements to the testing and treatment continuum. The epidemiologic impact of these improvements depends on the balance between survival and transmission benefits of ART with the potential for incidence to remain high.

Keywords: Agent-based models; HIV disease (AIDS); South Africa; mathematical modelling.

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Conflict of interest statement

None.

References

    1. Levi J et al. (2016) Can the UNAIDS 90-90-90 target be achieved? A systematic analysis of national HIV treatment cascades. BMJ Global Health 1, e000010. - PMC - PubMed
    1. UNAIDS (2015) Understanding Fast-Track: Accelerating Action to End the AIDS Epidemic by 2030. Geneva, Switzerland: Joint United Nations Programme on HIV/AIDS.
    1. Scott N et al. (2017) Achieving 90-90-90 HIV targets will not be enough to achieve the HIV incidence reduction target in Australia. Clinical Infectious Diseases 66, 1010–1023. - PubMed
    1. Maheu-Giroux M et al. (2017) Population-level impact of an accelerated HIV response plan to reach the UNAIDS 90-90-90 target in Côte d'Ivoire: insights from mathematical modeling. PLoS Medicine 14, e1002321. - PMC - PubMed
    1. Granich R et al. (2017) 90-90-90 and ending AIDS: necessary and feasible. The Lancet 390, 341–343. - PubMed

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