ArticleEpidemiology and infection2018
Current levels of gonorrhoea screening in MSM in Belgium may have little effect on prevalence: a modelling study.
Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- A systematic review to identify research gaps in studies modeling MenB vaccinations against Neisseria infections.PloS one · 2025Pooled it
- Switching From Dual to Monotherapy for Gonorrhea is Associated With a Halving of Gonococcal Resistance to Azithromycin-A Modelling Study of MSM in Belgium.Open forum infectious diseases · 2025Article
- Article
- Estimating Partnership Duration among MSM in Belgium-A Modeling Study.Infectious disease reports · 2024Article
- Management of asymptomatic sexually transmitted infections in Europe: towards a differentiated, evidence-based approach.The Lancet regional health. Europe · 2023Review
- Rethinking Screening Intensity in Terms of Reducing Prevalence or Increasing Selection Pressure for the Emergence of Resistant Gonorrhea: A Modeling Study of Men Who Have Sex With Men in Belgium.Open forum infectious diseases · 2023Article
- Population-level Benefits of Extragenital Gonorrhea Screening Among Men Who Have Sex With Men: An Exploratory Modeling Analysis.Sexually transmitted diseases · 2020Article
- To What Extent Should We Rely on Antibiotics to Reduce High Gonococcal Prevalence? Historical Insights from Mass-Meningococcal Campaigns.Pathogens (Basel, Switzerland) · 2020Review
- Assessing Uncertainty in an Anatomical Site-Specific Gonorrhea Transmission Model of Men Who Have Sex With Men.Sexually transmitted diseases · 2019Article
- Toward a Set of Criteria to Decide Which STIs to Screen for in PrEP Cohorts.Frontiers in public health · 2019Article
- Screening is not associated with reduced incidence of gonorrhoea or chlamydia in men who have sex with men (MSM); an ecological study of 23 European countries.F1000Research · 2019Review
- Effects of Sexual Network Connectivity and Antimicrobial Drug Use on Antimicrobial Resistance in Neisseria gonorrhoeae.Emerging infectious diseases · 2018Review
- Association between intensity of STI screening and development of antimicrobial resistance inF1000Research · 2018Article
- Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is considerable uncertainty as to the effectiveness of Neisseria gonorrhoeae (NG) screening in men who have sex with men. It is important to ensure that screening has benefits that outweigh the risks of increased antibiotics resistance. We develop a mathematical model to estimate the effectiveness of screening on prevalence. Separable Temporal Exponential family Random Graph Models are used to model the sexual relationships network, both with main and casual partners. Next, the transmission of Gonorrhoea is simulated on this network. The models are implemented using the R package 'statnet', which we adapted among other things to incorporate infection status at the pharynx, urethra and rectum separately and to distinguish between anal sex, oral sex and rimming. The different screening programmes compared are no screening, 3.5% of the population screened, 32% screened and 50% screened. The model simulates day-by-day evolution for 10 years of a population of 10 000. If half of the population would be screened, the prevalence in the pharynx decreases from 11.9% to 10.2%. We conclude that the limited impact of screening on NG prevalence may not outweigh the increased risk of antibiotic resistance.
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Registered trials
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.