Evidence map›Paper›PMID 39242079›Full record

ArticleInternational journal of epidemiology2024

HIV incidence among non-migrating persons following a household migration event in Uganda.

Ruth Young, Joseph Ssekasanvu, Joseph Kagaayi, Robert Ssekubugu, Godfrey Kigozi, Steven J Reynolds, Maria J Wawer, Bareng Aletta Sanny Nonyane, Betty Nantume, Thomas C Quinn and 9 more

Abstract read
In one paragraph

Article in International journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Ruth YoungDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-8787-2391
Joseph SsekasanvuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Joseph KagaayiRakai Health Sciences Program, Kalisizo, Uganda.
Robert SsekubuguRakai Health Sciences Program, Kalisizo, Uganda.
Godfrey KigoziRakai Health Sciences Program, Kalisizo, Uganda.
Steven J ReynoldsDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Maria J WawerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Bareng Aletta Sanny NonyaneDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Betty NantumeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Thomas C QuinnDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Aaron A R TobianDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-0517-3766
John SantelliPopulation and Family Health and Pediatrics, Columbia Mailman School of Public Health, New York, NY, USA.
Larry W ChangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Caitlin E KennedyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Ligia PainaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Philip A AnglewiczDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
David SerwaddaDepartment of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda.
Fred NalugodaRakai Health Sciences Program, Kalisizo, Uganda.
Mary Kate GrabowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

Long-term impact of universal treatment and dolutegravir on population HIV virologic and incidence outcomes in Africa: The LONGVIEW StudyR01AI155080 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRABOWSKI, MARY KATHRYN · 2021 to 2024
$2.5M
NIAID NIH HHS R01 AI155080
6 · The paper itself

Abstract

backgroundThe impact of migration on HIV risk among non-migrating household members is poorly understood. We measured HIV incidence among non-migrants living in households with and without migrants in Uganda.

methodsWe used four survey rounds of data collected from July 2011 to May 2018 from non-migrant participants aged 15-49 years in the Rakai Community Cohort Study. Non-migrants were individuals with no-migration between surveys or at the prior survey. Household migration was defined as ≥1 household member migrating into or out of the house from another community between surveys (∼18 months). Incident HIV was defined as testing HIV seropositive following a negative result. Incidence rate ratios (IRRs) were estimated using Poisson regression with generalized estimating equations. Analyses were stratified by gender, migration into or out of the household and the relationship between non-migrants and migrants (e.g. spouse, child).

resultsAbout 11 318 non-migrants (5674 women) were followed for 37 320 person-years. Twenty-eight percent (6059/21 370) of non-migrant person-visits had recent migration into or out of the household, and 240 HIV incident cases were identified. Overall, non-migrants in migrant households were not at greater risk of acquiring HIV than non-migrants in households without any migration. However, men were significantly more likely to acquire HIV if their spouse had recently migrated in [adjusted IRR: 2.12; 95% confidence interval (CI): 1.05-4.27] or out (adjusted IRR: 4.01; 95% CI, 2.16-7.44) compared with men with no spousal migration.

conclusionsHIV incidence is higher among non-migrant men with migrant spouses. Targeted HIV testing and prevention interventions like pre-exposure prophylaxis could be considered for men with migrant spouses.

Indexed as

Family CharacteristicsHIV InfectionsTransients and MigrantsAdolescentAdultCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRisk FactorsUgandaYoung AdultHIVhouseholdincidenceMigrationUganda

Identifiers

PMID39242079
PMCPMC11379466

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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.