Evidence map›Paper›PMID 32061317›Full record

ArticleThe lancet. HIV2020

The effect of 90-90-90 on HIV-1 incidence and mortality in eSwatini: a mathematical modelling study.

Adam Akullian, Michelle Morrison, Geoffrey P Garnett, Zandile Mnisi, Nomthandazo Lukhele, Daniel Bridenbecker, Anna Bershteyn

Open access · hybridAbstract read
In one paragraph

Article in The lancet. HIV, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
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  19. Large age shifts in HIV-1 incidence patterns in KwaZulu-Natal, South Africa.Proceedings of the National Academy of Sciences of the United States of America · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Adam AkullianInstitute for Disease Modeling, Bellevue, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA. Electronic address: aakullian@idmod.org.
Michelle MorrisonBill & Melinda Gates Foundation, Seattle, WA, USA.
Geoffrey P GarnettBill & Melinda Gates Foundation, Seattle, WA, USA.
Zandile MnisiMinistry of Health, Kingdom of eSwatini, Mbabane, eSwatini.
Nomthandazo LukheleWorld Health Organization, eSwatini Country Office, Mbabane, eSwatini.
Daniel BridenbeckerInstitute for Disease Modeling, Bellevue, WA, USA.
Anna BershteynInstitute for Disease Modeling, Bellevue, WA, USA; Department of Population Health, New York University School of Medicine, New York, NY, USA.
Bellevue Hospital Center · USBill & Melinda Gates Foundation · USInstitute for Disease Modeling · USMinistry of Health · SZWorld Health Organization - Pakistan · PK

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe rapid scale-up of antiretroviral therapy (ART) towards the UNAIDS 90-90-90 goals over the last decade has sparked considerable debate as to whether universal test and treat can end the HIV-1 epidemic in sub-Saharan Africa. We aimed to develop a network transmission model, calibrated to capture age-specific and sex-specific gaps in the scale-up of ART, to estimate the historical and future effect of attaining and surpassing the UNAIDS 90-90-90 treatment targets on HIV-1 incidence and mortality, and to assess whether these interventions will be enough to achieve epidemic control (incidence of 1 infection per 1000 person-years) by 2030.

methodsWe used eSwatini (formerly Swaziland) as a case study to develop our model. We used data on HIV prevalence by 5-year age bins, sex, and year from the 2007 Swaziland Demographic Health Survey (SDHS), the 2011 Swaziland HIV Incidence Measurement Survey, and the 2016 Swaziland Population Health Impact Assessment (PHIA) survey. We estimated the point prevalence of ART coverage among all HIV-infected individuals by age, sex, and year. Age-specific data on the prevalence of male circumcision from the SDHS and PHIA surveys were used as model inputs for traditional male circumcision and scale-up of voluntary medical male circumcision (VMMC). We calibrated our model using publicly available data on demographics; HIV prevalence by 5-year age bins, sex, and year; and ART coverage by age, sex, and year. We modelled the effects of five scenarios (historical scale-up of ART and VMMC [status quo], no ART or VMMC, no ART, age-targeted 90-90-90, and 100% ART initiation) to quantify the contribution of ART scale-up to declines in HIV incidence and mortality in individuals aged 15-49 by 2016, 2030, and 2050.

findingsBetween 2010 and 2016, status-quo ART scale-up among adults (aged 15-49 years) in eSwatini (from 34·0% in 2010 to 74·1% in 2016) reduced HIV incidence by 43·57% (95% credible interval 39·71 to 46·36) and HIV mortality by 56·17% (54·06 to 58·92) among individuals aged 15-49 years, with larger reductions in incidence among men and mortality among women. Holding 2016 ART coverage levels by age and sex into the future, by 2030 adult HIV incidence would fall to 1·09 (0·87 to 1·29) per 100 person-years, 1·42 (1·13 to 1·71) per 100 person-years among women and 0·79 (0·63 to 0·94) per 100 person-years among men. Achieving the 90-90-90 targets evenly by age and sex would further reduce incidence beyond status-quo ART, primarily among individuals aged 15-24 years (an additional 17·37% [7·33 to 26·12] reduction between 2016 and 2030), with only modest additional incidence reductions in adults aged 35-49 years (1·99% [-5·09 to 7·74]). Achieving 100% ART initiation among all people living with HIV within an average of 6 months from infection-an upper bound of plausible treatment effect-would reduce adult HIV incidence to 0·73 infections (0·55 to 0·92) per 100 person-years by 2030 and 0·46 (0·33 to 0·59) per 100 person-years by 2050.

interpretationScale-up of ART over the last decade has already contributed to substantial reductions in HIV-1 incidence and mortality in eSwatini. Focused ART targeting would further reduce incidence, especially in younger individuals, but even the most aggressive treatment campaigns would be insufficient to end the epidemic in high-burden settings without a renewed focus on expanding preventive measures.

fundingGlobal Good Fund and the Bill & Melinda Gates Foundation.

Indexed as

AdolescentAdultAge FactorsCircumcision, MaleEswatiniFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedModels, BiologicalOutcome Assessment, Health CarePrevalenceSex FactorsYoung Adult

Identifiers

PMID32061317
PMCPMC7221345
OpenAlexW3005643537

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.