Evidence map›Paper›PMID 15572641›Full record

ReviewSexually transmitted infections2004

Surveillance and modelling of HIV, STI, and risk behaviours in concentrated HIV epidemics.

S Mills, T Saidel, R Magnani, T Brown

Abstract readReview
In one paragraph

Review in Sexually transmitted infections, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
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  5. Observational
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  19. Article
  20. HIV behavioral surveillance in the U.S.: a conceptual framework.Public health reports (Washington, D.C. : 1974) · 2007
    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

4 authors.

S MillsFamily Health International, Hanoi, Vietnam. steve@fhi.org.vn
T Saidel
R Magnani
T Brown

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV epidemics in most countries are highly concentrated among population subgroups such as female sex workers, injecting drug users, men who have sex with men, mobile populations, and their sexual partners. The perception that they are important only when they cause epidemic expansion to general populations has obscured a critical lack of coverage of preventive interventions in these groups, as well as appropriate methods for monitoring epidemic and behavioural risk trends. The difficulties in accessing such groups have likewise often cast doubt on the representativeness of observed disease and behavioural risk estimates and their validity and reliability, particularly those related to sampling and the measurement of risk behaviours.

objectivesTo review methodological obstacles in conducting surveillance with population subgroups in concentrated HIV epidemics, elaborate on recent advancements that partially overcome these obstacles, and illustrate the importance of modelling integrated HIV, STI, and behavioural surveillance data.

methodsReview of published HIV, STI, and behavioural surveillance data, research on epidemic dynamics, and case studies from selected countries.

conclusionsThe population subgroups that merit regular and systematic surveillance in concentrated epidemics are best determined through extensive assessment and careful definition. Adherence to recently refined chain referral and time location sampling methods can help to ensure more representative samples. Finally, because of the inherent limitations of cross sectional surveys in understanding associations between complex sexual behaviours and HIV and STI transmission, mathematical models using multiple year data offer opportunities for integrated analysis of behavioural change and HIV/STI trends.

Indexed as

Disease OutbreaksRisk-TakingCross-Sectional StudiesFemaleHealth BehaviorHIV InfectionsHumansMaleModels, BiologicalPopulation SurveillanceRisk FactorsSexually Transmitted Diseases

Identifiers

PMID15572641
PMCPMC1765848

What OpenQuestion holds

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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.