Evidence map›Paper›PMID 23172348›Full record

ArticleSexually transmitted infections2012

Focusing the HIV response through estimating the major modes of HIV transmission: a multi-country analysis.

Eleanor Gouws, Paloma Cuchi, International Collaboration on Estimating HIV Incidence by Modes of Transmission

Abstract read
In one paragraph

Article in Sexually transmitted infections, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 5 pooled it
–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

64 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  16. Neurocognitive Complications of HIV Infection in Low-Income Countries.Current topics in behavioral neurosciences · 2021
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4 more citing papers are in PubMed but not listed here.

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

3 authors.

Eleanor GouwsEvidence, Policy and Innovation Department, UNAIDS, 20 Avenue Appia, Geneva 1211, Switzerland. gouwse@unaids.org
Paloma Cuchi
International Collaboration on Estimating HIV Incidence by Modes of Transmission

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAn increasing number of countries have been estimating the distribution of new adult HIV infections by modes of transmission (MOT) to help prioritise prevention efforts. We compare results from studies conducted between 2008 and 2012 and discuss their use for planning and responding to the HIV epidemic.

methodsThe UNAIDS recommended MOT model helps countries to estimate the proportion of new HIV infections that occur through key transmission modes including sex work, injecting drug use (IDU), men having sex with men (MSM), multiple sexual partnerships, stable relationships and medical interventions. The model typically forms part of a country-led process that includes a comprehensive review of epidemiological data. Recent revisions to the model are described.

resultsModelling results from 25 countries show large variation between and within regions. In sub-Saharan Africa, new infections occur largely in the general heterosexual population because of multiple partnerships or in stable discordant relationships, while sex work contributes significantly to new infections in West Africa. IDU and sex work are the main contributors to new infections in the Middle East and North Africa, with MSM the main contributor in Latin America. Patterns vary substantially between countries in Eastern Europe and Asia in terms of the relative contribution of sex work, MSM, IDU and spousal transmission.

conclusionsThe MOT modelling results, comprehensive review and critical assessment of data in a country can contribute to a more strategically focused HIV response. To strengthen this type of research, improved epidemiological and behavioural data by risk population are needed.

Indexed as

Epidemiologic MethodsAdolescentAdultAfrica South of the SaharaFemaleGlobal HealthHIV InfectionsHumansMaleMiddle AgedSexual BehaviorYoung Adult

Identifiers

PMID23172348
PMCPMC3512398

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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.