Evidence map›Paper›PMID 41093940›Full record

ArticleScientific reports2025

Considering the effects of pair formation dynamics on mpox and HIV co-infection in the gbMSM community.

Sarah Machado-Marques, Jhoana P Romero-Leiton, Bouchra Nasri, Iain R Moyles

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

4 authors.

Sarah Machado-MarquesDepartment of Mathematics and Statistics, York University, Toronto, M3J 1P3, Canada.
Jhoana P Romero-LeitonDepartment of Mathematical Sciences, University of Puerto Rico at Mayagüez, Mayagüez, 00681, USA.
Bouchra NasriDépartement de Médecine Sociale et Préventive, École de Santé Publique de l'Université de Montréal, Montreal, H3N 1X9, Canada.
Iain R MoylesDepartment of Mathematics and Statistics, York University, Toronto, M3J 1P3, Canada. imoyles@yorku.ca.

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2025-06301
6 · The paper itself

Abstract

The intersection of recent mpox outbreaks with HIV infections has become cause for concern in the disproportionately affected community of gay, bisexual, and other men who have sex with men (gbMSM). There is a growing need to explicitly consider how behaviour plays a role in the spread of such diseases transmitted through close, prolonged contact. In particular, the duration individuals spend single or in relationships has yet to be incorporated into deterministic co-infection models, potentially underestimating the protective effects of stable partnerships. We propose an mpox and HIV co-infection model that incorporates the formation of pairs between individuals. Through analyses of the basic ([Formula: see text]) and mpox invasion reproduction numbers ([Formula: see text]), we studied the effects of a pair formation structure on early disease dynamics in the gbMSM population. We demonstrate that considering pair formation and dissolution rates are critical in determining outbreak potential and severity, as well as accurately estimating reproduction numbers. Through simulations of the Canadian context, we show that these considerations remain important beyond the initial stages of the outbreak and can lead to more accurate predictions. Our work highlights that the particular pairing context and serological status of the population should always be carefully considered prior to intervention on behavioural patterns.

Indexed as

CoinfectionHIV InfectionsHomosexuality, MaleMpox, MonkeypoxSexual and Gender MinoritiesCanadaDisease OutbreaksHumansMaleCo-infectionEpidemiological modelHIVMpoxPair formationReproduction number

Identifiers

PMID41093940
PMCPMC12528496

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.