Evidence map›Paper›PMID 27875361›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2017

High Mobility and HIV Prevalence Among Female Market Traders in East Africa in 2014.

Carol S Camlin, Alison M El Ayadi, Zachary A Kwena, Willi McFarland, Mallory O Johnson, Torsten B Neilands, Elizabeth A Bukusi, Craig R Cohen

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
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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

8 authors.

Carol S Camlin*Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, San Francisco, CA; †Bixby Center for Global Reproductive Health, University of California, San Francisco, San Francisco, CA; ‡Center for AIDS Prevention Studies, University of California, San Francisco, San Francisco, CA; §Centre for Microbiology Research, Kenya Medical Research Institute, Kwale, Kenya; and ‖Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA.
Alison M El Ayadi
Zachary A Kwena
Willi McFarland
Mallory O Johnson
Torsten B Neilands
Elizabeth A Bukusi
Craig R Cohen

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sheri Ann Lippman · 2001 to 2026
$57.4M
Mentoring and Empowerment in the Context of HIV Care for At-Risk PopulationsK24DA037034 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, MALLORY O · 2014 to 2018
$918k
Identifying Opportunities for HIV Prevention Among Female Migrants in KenyaK01MH093205 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CAMLIN, CAROL SUZANNE · 2011 to 2015
$857k
Comprehensive Reintegration Assistance for Women with Obstetric FistulaK99HD086232 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EL AYADI, ALISON M · 2016 to 2017
$316k
NIAID NIH HHS P30 AI027763NICHD NIH HHS K99 HD086232NIDA NIH HHS K24 DA037034NIMH NIH HHS K01 MH093205NIMH NIH HHS P30 MH062246
6 · The paper itself

Abstract

backgroundThe contribution of women's mobility to the HIV/AIDS epidemic in Africa is poorly understood, despite women's high mobility and evidence that it is associated with higher-risk sexual behavior. We sought to measure levels of mobility, HIV prevalence, and related risk behaviors among female traders in Kisumu, Kenya.

methodsWe used global positioning system mapping to develop a probability-based sample and recruited 305 female market traders for participation in a survey and voluntary HIV counseling and testing in 2014. We estimated HIV prevalence and fitted logistic regression models to measure associations between mobility, risk behaviors, and HIV infection.

resultsHIV prevalence was 25.6% (95% confidence interval: 21.0 to 30.8); 11.5% had migrated (changed residence, over county, or national boundary) in the past year and 39.3% in the past 5 years. More than one-third (38.3%) spent nights away from main residence in the past month, with 11.4% spending more than a week away. Multiple partners were reported by 13.1% of women in the last year; 16% of married women reported a concurrent partnership. Mobility was not significantly associated with HIV prevalence, although recent short-term mobility was significantly correlated with higher numbers of sexual partners in the past year.

conclusionsFemale market traders were highly mobile, and HIV prevalence among traders was higher than in the general population of women of reproductive age in Kisumu (15.3% in 2013), and Nyanza Province, Kenya (16.1% in 2012). High HIV prevalence and risk behavior among women in this study warrant accelerated attention to HIV prevention and care needs of mobile women, including market traders.

Indexed as

Risk-TakingSexual BehaviorTravelAdolescentAdultAfrica, EasternEpidemiologic MethodsFemaleHIV InfectionsHumansKenyaModels, StatisticalPrevalenceSurveys and QuestionnairesYoung Adult

Identifiers

PMID27875361
PMCPMC5340599

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.