Evidence map›Paper›PMID 36578062›Full record

ArticleBMC women's health2022

Social networks, mobility, and HIV risk among women in the fishing communities of Lake Victoria.

Sarah Nakamanya, Elialilia S Okello, Zachary A Kwena, Gertrude Nanyonjo, Ubaldo M Bahemuka, Freddie M Kibengo, Ali Ssetaala, Elizabeth A Bukusi, Saidi Kapiga, Patricia E Fast and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 4 institutions in 5 countries.

Sarah NakamanyaMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine (MRC/UVRI and LSHTM), Uganda Research Unit, P.O. Box 49, Entebbe, Uganda. Sarah.nakamanya@mrcuganda.org.
Elialilia S OkelloMwanza Intervention Trials Unit (MITU), National Institute for Medical Research, Mwanza, Tanzania.
Zachary A KwenaResearch Care and Training Program (RCTP), Centre for Microbiology Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Gertrude NanyonjoUVRI-IAVI HIV Vaccine Program, Entebbe, Uganda.
Ubaldo M BahemukaMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine (MRC/UVRI and LSHTM), Uganda Research Unit, P.O. Box 49, Entebbe, Uganda.
Freddie M KibengoMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine (MRC/UVRI and LSHTM), Uganda Research Unit, P.O. Box 49, Entebbe, Uganda.
Ali SsetaalaUVRI-IAVI HIV Vaccine Program, Entebbe, Uganda.
Elizabeth A BukusiResearch Care and Training Program (RCTP), Centre for Microbiology Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Saidi KapigaMwanza Intervention Trials Unit (MITU), National Institute for Medical Research, Mwanza, Tanzania.
Patricia E FastInternational AIDS Vaccine Initiative (IAVI), New York, USA.
Janet SeeleyMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine (MRC/UVRI and LSHTM), Uganda Research Unit, P.O. Box 49, Entebbe, Uganda.
Uganda Virus Research Institute · UGKenya Medical Research Institute · KENational Institute for Medical Research · TZInternational AIDS Vaccine Initiative · US

Funding

Medical Research Council MC_UU_00027/4Medical Research Council MR/T040297/1United States Agency for International Development USAID_AID_16_0000_32
6 · The paper itself

Abstract

backgroundPopulation mobility is a demonstrated barrier to reducing HIV incidence. A clear understanding of social networks and their influence on mobility among women in the fishing communities of Lake Victoria may contribute to tailoring effective interventions that suit the needs of these mobile women.

methodsA cross-sectional qualitative methods study was conducted to understand mobility patterns among women resident and or working in fishing communities of Lake Victoria in Kenya, Tanzania, and Uganda. The study was conducted in six fishing communities from March 2018 to June 2019. The communities were purposively selected, based on population size (1000 people or more) and HIV prevalence of > 15% among women aged 18 years or older who had lived in the fishing community for at least six months. In-depth interviews were conducted with 24 key informants and 72 women from the sites in the three countries. Questions focused on women's social networks and other factors that fuelled or facilitated women's mobility as well as challenges they faced due to mobility. Data analysis followed a thematic framework approach.

resultsDifferent social groupings/networks existed among women in the fishing communities of Lake Victoria. These included female sex workers, women fish processors/traders, women bar workers/owners, restaurant workers, and family networks. Networks encouraged mobility, supporting finding work opportunities, but also increased sexual risks through partner changes. The benefits of networks included information sharing, financial support, and group protection, especially against violence.

conclusionSocial networks and groupings among women in the fishing communities of Lake Victoria could be useful in tailoring HIV prevention and HIV care interventions to suit the needs of these highly mobile populations.

Indexed as

HIV InfectionsSex WorkersAnimalsCross-Sectional StudiesFemaleHumansHuntingLakesSocial NetworkingUgandaFishing communitiesHIV riskLake VictoriaMobilitySocial networksWomen

Identifiers

PMID36578062
PMCPMC9798550
OpenAlexW4313417657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.