Evidence map›Paper›PMID 41959710›Full record

ArticleFrontiers in reproductive health2026

Epidemic thresholds across sexual behavior groups in the UK Biobank.

Maxence Arutkin, Alexandre Vallée

Abstract read
In one paragraph

Article in Frontiers in reproductive health, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Maxence ArutkinSchool of Chemistry, Tel Aviv University, Tel Aviv, Israel.
Alexandre ValléeDepartment of Epidemiology and Public Health, Foch Hospital, Suresnes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sexual partnership heterogeneity strongly conditions the epidemic potential of sexually transmitted infections (STIs), while bisexual partnerships can connect otherwise distinct sexual networks and enable spillover across populations. An actionable summary of this structure is the configuration-model critical bond transmissibility Methods: We analyzed the lifetime number of sexual partners of 405,740 UK Biobank participants (aged 40-69), stratified into men with male partners (MSM), men with female-only partners (MSW), women with male-only partners (WSM), and women with female partners (WSW). Candidate heavy-tail models were fitted to the fixed top-50% tail in each stratum using discrete maximum likelihood on identical integer support. Robustness to digit preference was assessed under prespecified RAW/EXCLUDE/EM-like modes. Epidemic thresholds were estimated from empirical moments, and a two-group next-generation matrix was used to derive minimal bisexual-bridging conditions for cross-group transmission. Results: In non-MSM strata, the tails were heavy but finite, with discretized lognormal or stretched-exponential models outperforming a pure power law and strictly positive thresholds (WSM Conclusion: Sexual network tail structure differs sharply by sexual behavior stratum and translates into large, interpretable gaps in epidemic thresholds. These results support targeted, tail-sensitive STI prevention and explicit control of bridging pathways.

Indexed as

degree heterogeneityepidemic thresholdheavy-tailed distributionssexual networksUK Biobank

Identifiers

PMID41959710
PMCPMC13057496

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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.