Evidence map›Paper›PMID 24257897›Full record

ReviewAIDS and behavior2014

Conceptual framework and research methods for migration and HIV transmission dynamics.

Susan Cassels, Samuel M Jenness, Aditya S Khanna

Abstract readReview
In one paragraph

Review in AIDS and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 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

3 authors.

Susan CasselsDepartment of Epidemiology, University of Washington, 325 9th Avenue, Box 359931, Seattle, WA, 98104, USA, scassels@uw.edu.
Samuel M Jenness
Aditya S Khanna

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Grace C. John-Stewart · 1988 to 2026
$104.9M
Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI ELLIS, JOHN MARK · 2002 to 2016
$9.3M
Population Research TrainingT32HD007543 · NICHD · UNIVERSITY OF WASHINGTON · PI CURRAN, SARA R. · 2002 to 2016
$2.3M
Migration to Urban Slums, Sexual Networks, and HIV in GhanaR00HD057553 · NICHD · UNIVERSITY OF WASHINGTON · PI CASSELS, SUSAN LYNN · 2010 to 2012
$700k
NIAID NIH HHS P30 AI027757NICHD NIH HHS 5R24HD042828NICHD NIH HHS R00 HD057533NICHD NIH HHS R00 HD057553NICHD NIH HHS R24 HD042828NICHD NIH HHS T32 HD007543
6 · The paper itself

Abstract

Migration and mobility have had a profound influence on the global HIV epidemic. We propose a network-dyadic conceptual model to interpret previous literature and inform the development of future research with respect to study design, measurement methods, and analytic approach. In this model, HIV transmission is driven by risk behaviors of migrants that emerges and is enabled by mobility, the bridging of sub-epidemics across space and time, and the displacement effects on the primary residential sending community for migrants. To investigate these causal pathways, empirical study designs must measure the relative timing of migratory events, sexual risk behaviors, and incident HIV infections. Network-based mathematical models using empirical data on partnerships help gain insight into the dynamic disease transmission systems. Although the network-dyadic conceptual model and related network methods may not address all questions related to migration and HIV, they provide a unified approach for future research on this important topic.

Indexed as

Disease OutbreaksGlobal HealthTransients and MigrantsCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHIV InfectionsHumansLongitudinal StudiesModels, TheoreticalResearch DesignRisk-TakingSexual Behavior

Identifiers

PMID24257897
PMCPMC4029933

What OpenQuestion holds

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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.