Evidence map›Paper›PMID 28617810›Full record

ArticlePLoS medicine2017

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.

Mathieu Maheu-Giroux, Juan F Vesga, Souleymane Diabaté, Michel Alary, Stefan Baral, Daouda Diouf, Kouamé Abo, Marie-Claude Boily

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 5 countries.

Mathieu Maheu-GirouxDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada.ORCID http://orcid.org/0000-0002-8363-4388
Juan F VesgaDepartment of Infectious Disease Epidemiology, Imperial College London, St Mary's Hospital, London, United Kingdom.ORCID http://orcid.org/0000-0003-1103-9587
Souleymane DiabatéCentre de recherche du CHU de Québec - Université Laval, Québec, Canada.
Michel AlaryCentre de recherche du CHU de Québec - Université Laval, Québec, Canada.
Stefan BaralKey Populations Program, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID http://orcid.org/0000-0002-5482-2419
Daouda DioufEnda Santé, Dakar, Sénégal.
Kouamé AboProgramme National de Lutte contre le SIDA, Ministère de la Santé et de l'Hygiène Publique, Abidjan, Côte d'Ivoire.
Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, Imperial College London, St Mary's Hospital, London, United Kingdom.
St Mary's Hospital · GBEnvironment and Development Action Third World · SNInstitut National de Santé Publique du Québec · CAJohns Hopkins University · USMcGill University · CAMinistère de la Santé et de l'Hygiène Publique · CIUniversité Alassane Ouattara · CI

Funding

SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
NIAID NIH HHS UM1 AI068617
6 · The paper itself

Abstract

backgroundNational responses will need to be markedly accelerated to achieve the ambitious target of the Joint United Nations Programme on HIV/AIDS (UNAIDS). This target aims for 90% of HIV-positive individuals to be aware of their status, for 90% of those aware to receive antiretroviral therapy (ART), and for 90% of those on treatment to have a suppressed viral load by 2020, with each individual target reaching 95% by 2030. We aimed to estimate the impact of various treatment-as-prevention scenarios in Côte d'Ivoire, one of the countries with the highest HIV incidence in West Africa, with unmet HIV prevention and treatment needs, and where key populations are important to the broader HIV epidemic. METHODS AND

findingsAn age-stratified dynamic model was developed and calibrated to epidemiological and programmatic data using a Bayesian framework. The model represents sexual and vertical HIV transmission in the general population, female sex workers (FSW), and men who have sex with men (MSM). We estimated the impact of scaling up interventions to reach the UNAIDS targets, as well as the impact of 8 other scenarios, on HIV transmission in adults and children, compared to our baseline scenario that maintains 2015 rates of testing, ART initiation, ART discontinuation, treatment failure, and levels of condom use. In 2015, we estimated that 52% (95% credible intervals: 46%-58%) of HIV-positive individuals were aware of their status, 72% (57%-82%) of those aware were on ART, and 77% (74%-79%) of those on ART were virologically suppressed. Reaching the UNAIDS targets on time would avert 50% (42%-60%) of new HIV infections over 2015-2030 compared to 30% (25%-36%) if the 90-90-90 target is reached in 2025. Attaining the UNAIDS targets in FSW, their clients, and MSM (but not in the rest of the population) would avert a similar fraction of new infections (30%; 21%-39%). A 25-percentage-point drop in condom use from the 2015 levels among FSW and MSM would reduce the impact of reaching the UNAIDS targets, with 38% (26%-51%) of infections averted. The study's main limitation is that homogenous spatial coverage of interventions was assumed, and future lines of inquiry should examine how geographical prioritization could affect HIV transmission.

conclusionsMaximizing the impact of the UNAIDS targets will require rapid scale-up of interventions, particularly testing, ART initiation, and limiting ART discontinuation. Reaching clients of FSW, as well as key populations, can efficiently reduce transmission. Sustaining the high condom-use levels among key populations should remain an important prevention pillar.

Indexed as

Models, TheoreticalSexual BehaviorAcquired Immunodeficiency SyndromeAdolescentAdultAnti-HIV AgentsBayes TheoremCondomsCote d'IvoireFemaleHIV InfectionsHumansMaleMiddle AgedSex WorkersUnited NationsAnti-HIV Agents

Identifiers

PMID28617810
PMCPMC5472267
OpenAlexW2626306377

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.