ArticleBMJ public health2024
Impact of a potential Chlamydia vaccine in the USA: mathematical modelling analyses.
Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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
7 citing papers in PubMed.
- Evaluating the potential health and economic impacts of chlamydia vaccination strategies in the United States: a mathematical modeling and cost-effectiveness simulation study.Lancet regional health. Americas · 2026Article
- Epidemiology of Neisseria gonorrhoeae in Jordan: prevalence, incidence, and clearance from a national laboratory dataset, 2014-2025.BMC public health · 2026Article
- Projected public health benefits of a hypothetical HSV-1 vaccine in the United States: A mathematical modeling analysis.Science advances · 2026Article
- An agent-based platform for simulating the impact of chlamydia vaccine in the US population.Nature communications · 2026Article
- Mathematical modeling of the population-level impact of hypothetical herpes simplex virus type 2 curative therapy.Communications medicine · 2026Article
- Quantifying population-level sexual risk behavior through HSV-2 transmission dynamics in the United States, 1950-2020.Scientific reports · 2025Article
- Vaccination as a strategy for Chlamydia trachomatis control: a global mathematical modeling analysis.BMC global and public health · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Methods: An age-structured deterministic mathematical model calibrated to nationally representative population-based data was developed to investigate the impact of CT vaccination on the population of the USA if a vaccine becomes available. The model's parameters were chosen based on current knowledge from the literature on CT's natural history and epidemiology. The model's calibration used age-specific CT prevalence data sourced from the biannual rounds of the National Health and Nutrition Examination Surveys. The reported data are based on the outcomes generated by the model's simulations. Results: Over a 10-year period, vaccinating 80% of individuals aged 15-49 with a vaccine that reduces by 50% susceptibility to infection ( Conclusion: A moderately efficacious CT vaccine can significantly reduce CT disease burden. Targeting specific populations can maximise cost-effectiveness. Additional potential 'breakthrough' effects of the vaccine on infectiousness and duration of infection could greatly increase its impact. CT vaccine development and implementation should be a public health priority.
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Registered trials
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