ArticleScientific reports2017
Network-Centric Interventions to Contain the Syphilis Epidemic in San Francisco.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Evaluating syphilis transmission among MSM population: a mathematical model for reinfection, two-stage treatment, and treatment failure.Frontiers in public health · 2026Article
- Doxycycline Postexposure Prophylaxis and Sexually Transmitted Infection Trends.JAMA internal medicine · 2025Article
- Genomic epidemiology reveals 2022 mpox epidemic in New York City governed by heavy-tailed sexual contact networks.medRxiv : the preprint server for health sciences · 2024Article
- Factors Associated With Syphilis Transmission and Acquisition Among Men Who Have Sex With Men: Protocol for a Multisite Egocentric Network Study.JMIR research protocols · 2022Article
- Targeted pandemic containment through identifying local contact network bottlenecks.PLoS computational biology · 2021Article
- The effect of public health awareness and behaviors on the transmission dynamics of syphilis in Northwest China, 2006-2018, based on a multiple-stages mathematical model.Infectious Disease Modelling · 2021Article
- Lost and found: applying network analysis to public health contact tracing for HIV.Applied network science · 2021Article
- Generating a heterosexual bipartite network embedded in social network.Applied network science · 2021Article
- Exploring How Epidemic Context Influences Syphilis Screening Impact: A Mathematical Modeling Study.Sexually transmitted diseases · 2020Article
- Tuning the overlap and the cross-layer correlations in two-layer networks: Application to a susceptible-infectious-recovered model with awareness dissemination.Physical review. E · 2018Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The number of reported early syphilis cases in San Francisco has increased steadily since 2005. It is not yet clear what factors are responsible for such an increase. A recent analysis of the sexual contact network of men who have sex with men with syphilis in San Francisco has discovered a large connected component, members of which have a significantly higher chance of syphilis and HIV compared to non-member individuals. This study investigates whether it is possible to exploit the existence of the largest connected component to design new notification strategies that can potentially contribute to reducing the number of cases. We develop a model capable of incorporating multiple types of notification strategies and compare the corresponding incidence of syphilis. Through extensive simulations, we show that notifying the community of the infection state of few central nodes appears to be the most effective approach, balancing the cost of notification and the reduction of syphilis incidence. Additionally, among the different measures of centrality, the eigenvector centrality reveals to be the best to reduce the incidence in the long term as long as the number of missing links (non-disclosed contacts) is not very large.
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