ArticleEpidemiology (Cambridge, Mass.)2017
Estimating Local Chlamydia Incidence and Prevalence Using Surveillance Data.
Article in Epidemiology (Cambridge, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Prognostic Value of Anti-Journal of inflammation research · 2024Article
- Using infection prevalence, seroprevalence and case report data to estimate chlamydial infection incidence.Sexually transmitted infections · 2023Article
- A profile of the binx healthExpert review of molecular diagnostics · 2021Review
- Per-partnership transmission probabilities for Chlamydia trachomatis infection: evidence synthesis of population-based survey data.International journal of epidemiology · 2021Article
- The Influence of Screening, Misclassification, and Reporting Biases on Reported Chlamydia Case Rates Among Young Women in the United States, 2000 Through 2017.Sexually transmitted diseases · 2020Article
- Understanding Relationships Between Chlamydial Infection, Symptoms, and Testing Behavior: An Analysis of Data from Natsal-3.Epidemiology (Cambridge, Mass.) · 2020Article
- [Response to KounaliEpidemiology and infection · 2019Article
- Letter to editor in response to HasEpidemiology and infection · 2019Article
- Assessing local chlamydia screening performance by combining survey and administrative data to account for differences in local population characteristics.Scientific reports · 2019Article
- Has Chlamydia trachomatis prevalence in young women in England, Scotland and Wales changed? Evidence from national probability surveys.Epidemiology and infection · 2019Article
- Epidemiological Trends of Antibiotic Resistant Gonorrhoea in the United Kingdom.Antibiotics (Basel, Switzerland) · 2018Review
- Changes in chlamydia prevalence and duration of infection estimated from testing and diagnosis rates in England: a model-based analysis using surveillance data, 2000-15.The Lancet. Public health · 2018Article
- Should we screen for the sexually-transmitted infection Mycoplasma genitalium? Evidence synthesis using a transmission-dynamic model.Scientific reports · 2017Article
- Genital Chlamydia trachomatis Infections Clear More Slowly in Men Than Women, but Are Less Likely to Become Established.The Journal of infectious diseases · 2017Article
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2 authors.
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Abstract
backgroundUnderstanding patterns of chlamydia prevalence is important for addressing inequalities and planning cost-effective control programs. Population-based surveys are costly; the best data for England come from the Natsal national surveys, which are only available once per decade, and are nationally representative but not powered to compare prevalence in different localities. Prevalence estimates at finer spatial and temporal scales are required.
methodsWe present a method for estimating local prevalence by modeling the infection, testing, and treatment processes. Prior probability distributions for parameters describing natural history and treatment-seeking behavior are informed by the literature or calibrated using national prevalence estimates. By combining them with surveillance data on numbers of chlamydia tests and diagnoses, we obtain estimates of local screening rates, incidence, and prevalence. We illustrate the method by application to data from England.
resultsOur estimates of national prevalence by age group agree with the Natsal-3 survey. They could be improved by additional information on the number of diagnosed cases that were asymptomatic. There is substantial local-level variation in prevalence, with more infection in deprived areas. Incidence in each sex is strongly correlated with prevalence in the other. Importantly, we find that positivity (the proportion of tests which were positive) does not provide a reliable proxy for prevalence.
conclusionThis approach provides local chlamydia prevalence estimates from surveillance data, which could inform analyses to identify and understand local prevalence patterns and assess local programs. Estimates could be more accurate if surveillance systems recorded additional information, including on symptoms. See video abstract at, http://links.lww.com/EDE/B211.
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