Evidence map›Paper›PMID 23226895›Full record

ArticleBulletin of the World Health Organization2012

Understanding the modes of transmission model of new HIV infection and its use in prevention planning.

Kelsey K Case, Peter D Ghys, Eleanor Gouws, Jeffrey W Eaton, Annick Borquez, John Stover, Paloma Cuchi, Laith J Abu-Raddad, Geoffrey P Garnett, Timothy B Hallett and 1 more

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 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

35 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  13. HIV Modes of Transmission in Sudan in 2014.International journal of health policy and management · 2020
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  16. Article
  17. Measuring Relationship Functioning in South African Couples: A Strategy for Improving HIV Prevention Efforts.Sexual and relationship therapy : journal of the British Association for Sexual and Relationship Therapy · 2020
    Article
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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

11 authors.

Kelsey K CaseDepartment of Infectious Disease Epidemiology, Imperial College London, St Mary's Campus, London, England. k.case@imperial.ac.uk
Peter D Ghys
Eleanor Gouws
Jeffrey W Eaton
Annick Borquez
John Stover
Paloma Cuchi
Laith J Abu-Raddad
Geoffrey P Garnett
Timothy B Hallett
HIV Modelling Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The modes of transmission model has been widely used to help decision-makers target measures for preventing human immunodeficiency virus (HIV) infection. The model estimates the number of new HIV infections that will be acquired over the ensuing year by individuals in identified risk groups in a given population using data on the size of the groups, the aggregate risk behaviour in each group, the current prevalence of HIV infection among the sexual or injecting drug partners of individuals in each group, and the probability of HIV transmission associated with different risk behaviours. The strength of the model is its simplicity, which enables data from a variety of sources to be synthesized, resulting in better characterization of HIV epidemics in some settings. However, concerns have been raised about the assumptions underlying the model structure, about limitations in the data available for deriving input parameters and about interpretation and communication of the model results. The aim of this review was to improve the use of the model by reassessing its paradigm, structure and data requirements. We identified key questions to be asked when conducting an analysis and when interpreting the model results and make recommendations for strengthening the model's application in the future.

Indexed as

AdultFemaleGlobal HealthHIV InfectionsHumansMaleModels, BiologicalPrevalenceRisk AssessmentSubstance Abuse, IntravenousUnsafe Sex

Identifiers

PMID23226895
PMCPMC3506404

What OpenQuestion holds

Textmetadata
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.