Evidence map›Paper›PMID 38041047›Full record

ArticleBMC public health2023

Feasibility and acceptability of using biometric fingerprinting to track migrations and support retention in HIV prevention research in fishing population in East Africa.

Andrew Abaasa, Paul Mee, Agnes Nanyonjo, Sue Easton, Frank Tanser, Gershim Asiki

Abstract read
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Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Andrew AbaasaMRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda. Andrew.Abaasa@mrcuganda.org.
Paul MeeLincoln International Institute for Rural Health, College of Health and Science, University of Lincoln, Lincoln, UK.
Agnes NanyonjoLincoln International Institute for Rural Health, College of Health and Science, University of Lincoln, Lincoln, UK.
Sue EastonLincoln International Institute for Rural Health, College of Health and Science, University of Lincoln, Lincoln, UK.
Frank TanserCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Gershim AsikiDepartment of Chronic Diseases Management Unit, Health and Well-being Theme, African Population and Health Research Center, Nairobi, Kenya.

Funding

Medical Research Council
6 · The paper itself

Abstract

introductionFishing populations constitute a suitable key population amongst which to conduct HIV prevention trials due to very high HIV prevalence and incidence, however, these are highly mobile populations. We determined the feasibility and acceptability of using fingerprinting and geographical positioning systems to describe mobility patterns and retention among fisherfolks on the shoreline of Lake Victoria in South-western Uganda.

methodsBetween August 2015 and January 2017, two serial cross-sectional surveys were conducted during which fingerprinting of all residents aged 18-30 years on the shoreline of Lake Victoria was done. A mapper moving ahead of the survey team, produced village maps and took coordinates of every household. These were accessed by the survey team that assigned household and individual unique identifiers (ID) and collected demographic data. Using the assigned IDs, individuals were enrolled and their fingerprints scanned. The fingerprinting was repeated 6 months later in order to determine the participant's current household. If it was different from that at baseline, a new household ID was assigned which was used to map migrations both within and between villages.

resultsAt both rounds, over 99% accepted to be fingerprinted. No fingerprinting faults were recorded at baseline and the level was under 1% at round two. Over 80% of the participants were seen at round two and of these, 16.3%, had moved to a new location whilst the majority, 85%, stayed within the same village. Movements between villages were mainly observed for those resident in large villages. Those who did not consider a fishing village to be their permanent home were less likely to be migrants than permanent residents (adjusted odds ratio = 0.37, 95%CI:0.15-0.94).

conclusionUse of fingerprinting in fishing populations is feasible and acceptable. It is possible to track this mobile population for clinical trials or health services using this technology since most movements could be traced within and between villages.

Indexed as

HIV InfectionsBiometryCross-Sectional StudiesFeasibility StudiesHumansHuntingUgandaBiometric fingerprinting fishing migrations track HIV prevention research

Identifiers

PMID38041047
PMCPMC10691076

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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.