ArticleTheoretical biology & medical modelling2006
Developing a realistic sexual network model of chlamydia transmission in Britain.
Article in Theoretical biology & medical modelling, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Screening for chlamydia and/or gonorrhea in primary health care: systematic reviews on effectiveness and patient preferences.Systematic reviews · 2021Pooled it
- How robust are the natural history parameters used in chlamydia transmission dynamic models? A systematic review.Theoretical biology & medical modelling · 2014Pooled it
- An agent-based platform for simulating the impact of chlamydia vaccine in the US population.Nature communications · 2026Article
- Vaccination as a strategy for Chlamydia trachomatis control: a global mathematical modeling analysis.BMC global and public health · 2025Article
- Impact of a potential Chlamydia vaccine in the USA: mathematical modelling analyses.BMJ public health · 2024Article
- The impact of infection-derived immunity on disease dynamics.Journal of mathematical biology · 2021Article
- Per-partnership transmission probabilities for Chlamydia trachomatis infection: evidence synthesis of population-based survey data.International journal of epidemiology · 2021Article
- Effect of screening young men forBMJ open · 2021Article
- Contact tracing - Old models and new challenges.Infectious Disease Modelling · 2021Article
- Discrepancies between observed data and predictions from mathematical modelling of the impact of screening interventions on Chlamydia trachomatis prevalence.Scientific reports · 2019Article
- Gonorrhoea and chlamydia diagnosis as an entry point for HIV pre-exposure prophylaxis: a modelling study.BMJ open · 2019Article
- Does infection withSexually transmitted infections · 2019Article
- Sexual mixing in opposite-sex partnerships in Britain and its implications for STI risk: findings from the third National Survey of Sexual Attitudes and Lifestyles (Natsal-3).International journal of epidemiology · 2019Article
- Modelling the impact of correlations between condom use and sexual contact pattern on the dynamics of sexually transmitted infections.Theoretical biology & medical modelling · 2018Article
- Using Multiple Outcomes of Sexual Behavior to Provide Insights Into Chlamydia Transmission and the Effectiveness of Prevention Interventions in Adolescents.Sexually transmitted diseases · 2017Article
- Pair formation models for sexually transmitted infections: A primer.Infectious Disease Modelling · 2017Review
- A Risk-based Model for Predicting the Impact of using Condoms on the Spread of Sexually Transmitted Infections.Infectious Disease Modelling · 2017Article
- Estimating age-dependent per-encounter chlamydia trachomatis acquisition risk via a Markov-based state-transition model.Journal of clinical bioinformatics · 2014Article
- Barriers and opportunities for evidence-based health service planning: the example of developing a Decision Analytic Model to plan services for sexually transmitted infections in the UK.BMC health services research · 2012Article
- Influence of network dynamics on the spread of sexually transmitted diseases.Journal of the Royal Society, Interface · 2012Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA national chlamydia screening programme is currently being rolled out in the UK and other countries. However, much of the epidemiology remains poorly understood. In this paper we present a stochastic, individual based, dynamic sexual network model of chlamydia transmission and its parameterisation. Mathematical models provide a theoretical framework for understanding the key epidemiological features of chlamydia: sexual behaviour, health care seeking and transmission dynamics.
resultsThe model parameters were estimated either directly or by systematic fitting to a variety of appropriate data sources. The fitted model was representative of sexual behaviour, chlamydia epidemiology and health care use in England. We were able to recapture the observed age distribution of chlamydia prevalence.
conclusionEstimating parameters for models of sexual behaviour and transmission of chlamydia is complex. Most of the parameter values are highly correlated, highly variable and there is little empirical evidence to inform estimates. We used a novel approach to estimate the rate of active treatment seeking, by combining data sources, which improved the credibility of the model results. The model structure is flexible and is broadly applicable to other developed world settings and provides a practical tool for public health decision makers.
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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.