Evidence map›Paper›PMID 30869008›Full record

ArticleEpidemiology and infection2019

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

N N Abuelezam, A W McCormick, E D Surface, T Fussell, K A Freedberg, M Lipsitch, G R Seage

Abstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

7 authors.

N N AbuelezamWilliam F. Connell School of Nursing, Boston College,140 Commonwealth Avenue, Chestnut Hill, MA 02467,USA.ORCID 0000-0002-5459-8592
A W McCormickDepartment of Epidemiology,Harvard T.H. Chan School of Public Health,677 Huntington Avenue, Boston, MA 02115,USA.
E D SurfaceDepartment of Epidemiology,Harvard T.H. Chan School of Public Health,677 Huntington Avenue, Boston, MA 02115,USA.
T FussellDepartment of Epidemiology,Harvard T.H. Chan School of Public Health,677 Huntington Avenue, Boston, MA 02115,USA.
K A FreedbergDivisions of General Internal Medicine and Infectious Disease, the Medical Practice Evaluation Center,Massachusetts General Hospital,55 Fruit Street Boston MA 02114,USA.
M LipsitchDepartment of Epidemiology,Harvard T.H. Chan School of Public Health,677 Huntington Avenue, Boston, MA 02115,USA.
G R SeageDepartment of Epidemiology,Harvard T.H. Chan School of Public Health,677 Huntington Avenue, Boston, MA 02115,USA.

Funding

Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Optimizing HIV Care in Less Developed CountriesR37AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2018 to 2024
$6.6M
Epidemiology of Infectious Diseases and BiodefenseT32AI007535 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GRAD, YONATAN H, MURRAY, MEGAN B · 1998 to 2025
$4.8M
Modeling the Impact of HIV Prevention InterventionsR01MH087328 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI SEAGE, GEORGE R · 2010 to 2013
$2.7M
Calibration and Simulation of the Botswana Combination Prevention ProjectR01GM116525 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SEAGE, GEORGE R · 2015 to 2017
$1.5M
NIAID NIH HHS R01 AI058736NIAID NIH HHS T32 AI007433NIAID NIH HHS T32 AI007535NIGMS NIH HHS R01 GM116525NIMH NIH HHS R01 MH087328
6 · The paper itself

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.

Indexed as

Epidemiological MonitoringAdolescentAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveFemaleHIV InfectionsHumansMaleSouth AfricaViral LoadYoung AdultAnti-HIV AgentsAgent-based modelsHIV disease (AIDS)mathematical modellingSouth Africa

Identifiers

PMID30869008
PMCPMC6452860

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Registered trials

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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.