Evidence map›Paper›PMID 39806186›Full record

ArticleAIDS and behavior2025

Sexual Networks and Behavioral Characteristics of HIV-Positive Male Military Members, Female Sex Workers, and Male Civilians.

Michael P Grillo, Karen Saylors, Bonnie R Tran, Nichelle Brown, Osika Tripathi, Jordan Killion, Carol Macera, Babacar Faye, Ernest C Chisoko, Mapoma Kabengele and 4 more

Abstract read
In one paragraph

Article in AIDS and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Michael P GrilloU.S. Department of Defense, HIV/AIDS Prevention Program, San Diego, CA, USA. michael.p.grillo2.civ@health.mil.
Karen SaylorsLabyrinth Global Health, Inc., St Petersburg, FL, USA.
Bonnie R TranU.S. Department of Defense, HIV/AIDS Prevention Program, San Diego, CA, USA.
Nichelle BrownU.S. Department of Defense, HIV/AIDS Prevention Program, San Diego, CA, USA.
Osika TripathiU.S. Department of Defense, HIV/AIDS Prevention Program, San Diego, CA, USA.
Jordan KillionU.S. Department of Defense, HIV/AIDS Prevention Program, San Diego, CA, USA.
Carol MaceraU.S. Department of Defense, HIV/AIDS Prevention Program, San Diego, CA, USA.
Babacar FayeLaboratoire de biologie moléculaire, Programme de lutte contre le SIDA dans les Forces Armées, Hôpital militaire de Ouakam, Dakar, Senegal.
Ernest C ChisokoZambia Defense Force, Lusaka, Zambia.
Mapoma KabengeleZambia Defense Force, Lusaka, Zambia.
Anthony M Mutombe, Camp Kokolo, Kinshasa, Democratic Republic of the Congo.
Cyrille F DjokoLabyrinth Global Health, Inc., St Petersburg, FL, USA.
Davey SmithDivision of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA.
Antoine ChaillonDivision of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Military members and female sex workers (FSWs) may be more likely to acquire or transmit HIV. Mapping HIV transmission across these high-risk populations and identifying behaviors associated with sexual network clustering are needed for effective HIV prevention approaches. A cross-sectional study recruited participants newly diagnosed with HIV among militaries, civilians, and FSWs in Zambia, Senegal, and Democratic Republic of the Congo (DRC). Participants were interviewed on behaviors and provided blood samples for HIV-1 partial pol sequencing. Genetic-distance based network analyses inferred putative relationships between HIV-1 partial pol sequences. Bivariate logistic regression models identified variables associated with clustering in a sexual network. 908 participants were included (n = 313 FSWs, n = 297 military, n = 298 civilians). 311 blood samples were sequenced and had survey data, of which 93 (29.9%) were genetically linked, forming 36 transmission clusters. All but one cluster were comprised of participants from the same country, including one large cluster (n = 12; 9 FSWs and 3 civilians) from DRC. A large mixed-country cluster (n = 9) including 7 men (4 civilians, 3 military) and 2 FSWs was observed. The odds of clustering in a sexual network were elevated for DRC participants, FSWs, and those cohabitating with a sexual partner. Findings underscore the importance of identifying linkages in high-risk populations to develop tailored HIV prevention strategies. Linkages across risk groups and countries illustrate the potential role of mobile populations in HIV transmission and acquisition. Larger studies including HIV recency testing may better elucidate biological and behavioral interactions between military, civilians, and FSWs.

Indexed as

HIV-1HIV InfectionsMilitary PersonnelSexual BehaviorSex WorkersAdolescentAdultCluster AnalysisCross-Sectional StudiesDemocratic Republic of the CongoFemaleHumansLogistic ModelsMaleMiddle AgedRisk FactorsFemale sex workersHIVMilitarySexual networksSexual risk behaviors

Identifiers

PMID39806186
PMCPMC11830637

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Registered trials

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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.