ArticleThe Journal of infectious diseases2025
The Influence of Epidemiologic Context on the Success of Partner Notification Programs: Analysis of Gonorrhea Transmission Dynamics.
Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Gonorrhea Management in High-, Limited- and No-Resource Settings: Implications in the Context of Antimicrobial Resistance.International journal of dermatology · 2026Review
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Authors and funding
8 authors.
Funding
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Abstract
backgroundLimited estimates exist on the population-level impact of partner notification (PN) for gonorrhea, with uncertainty in the influence of local epidemiology on PN effectiveness. An ecologic study in New York found a 6% reduction in diagnoses with a 10% increase in PN coverage. We estimated gonorrhea incidence reductions via PN across different epidemiologic conditions to compare the effects with the prior finding and to understand key determinants of variation.
methodsWe developed a stochastic network model of men who have sex with men and calibrated gonorrhea transmission dynamics to varied epidemiologic conditions. The population-level impact of increasing PN was summarized by incidence rate ratios (IRRs), and the relative importance of explanatory variables (including network density, baseline burden, and natural history parameters) was assessed via linear regression modeling of IRR and bootstrapping to evaluate uncertainty in estimation.
resultsWe estimated an IRR of 0.97 (95% range, 0.93-0.99) for a 10% relative increase in PN coverage, comparable to the IRR of 0.94 (0.91-0.97) identified in the empirical study. PN retained effectiveness under diverse epidemiologic conditions. In a univariate sensitivity analysis, the strongest influence on IRR came from parameters governing index case testing probability, with an IRR of 0.93 when testing was at its highest. Other factors, such as network density, baseline incidence, and various natural history parameters, had relatively minor effects on the IRR. We observed larger individual-level benefits from PN for individuals with higher numbers of partners.
conclusionsOur findings support prior population-level estimates of the impact of PN on gonorrhea incidence.
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