Evidence map›Paper›PMID 39298413›Full record

ArticlePLOS global public health2024

Beyond the 95s: What happens when uniform program targets are applied across a heterogenous HIV epidemic in Eastern and Southern Africa?

Rachael H Joseph, Yaa Obeng-Aduasare, Thomas Achia, Abraham Agedew, Sasi Jonnalagadda, Abraham Katana, Elijah J Odoyo, Aoko Appolonia, Elliot Raizes, Amy Dubois and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Rachael H JosephDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Pretoria, South Africa.ORCID https://orcid.org/0000-0003-4644-1568
Yaa Obeng-AduasareDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Pretoria, South Africa.
Thomas AchiaDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Abraham AgedewDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Pretoria, South Africa.
Sasi JonnalagaddaDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Abraham KatanaDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Elijah J OdoyoDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-1370-2306
Aoko AppoloniaDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Elliot RaizesDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0001-5121-877X
Amy DuboisDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Pretoria, South Africa.
John BlandfordDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Pretoria, South Africa.ORCID https://orcid.org/0009-0006-0496-6410
Lucy NgangaDivision of Global HIV & TB, Global Health Center, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The UNAIDS 95-95-95 targets are an important metric for guiding national HIV programs and measuring progress towards ending the HIV epidemic as a public health threat by 2030. Nevertheless, as proportional targets, the outcome of reaching the 95-95-95 targets will vary greatly across, and within, countries owing to the geographic diversity of the HIV epidemic. Countries and subnational units with a higher initial prevalence and number of people living with HIV (PLHIV) will remain with a larger number and higher prevalence of virally unsuppressed PLHIV-persons who may experience excess morbidity and mortality and can transmit the virus to others. Reliance on achievement of uniform proportional targets as a measure of program success can potentially mislead resource allocation and progress towards equitable epidemic control. More granular surveillance information on the HIV epidemic is required to effectively calibrate strategies and intensity of HIV programs across geographies and address current and projected health disparities that may undermine efforts to reach and sustain HIV epidemic control even after the 95 targets are achieved.

Identifiers

PMID39298413
PMCPMC11412679

What OpenQuestion holds

Textmetadata
LicenceCC0
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.