Evidence map›Paper›PMID 28876313›Full record

ArticleSexually transmitted diseases2017

Using Multiple Outcomes of Sexual Behavior to Provide Insights Into Chlamydia Transmission and the Effectiveness of Prevention Interventions in Adolescents.

Eva Andrea Enns, Szu-Yu Kao, Katy Backes Kozhimannil, Judith Kahn, Jill Farris, Shalini L Kulasingam

Open access · greenAbstract read
In one paragraph

Article in Sexually transmitted diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Adapting Sexual Behavior Survey Data to Parameterize an Agent-Based Model of Human Papillomavirus (HPV) Transmission.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Eva Andrea EnnsFrom the *Division of Health Policy and Management, University of Minnesota School of Public Health; †J. Kahn and Associates, LLC; ‡Healthy Youth Development - Prevention Research Center, Division of General Pediatrics and Adolescent Health, Department of Pediatrics, University of Minnesota Medical School; and §Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN.
Szu-Yu Kao
Katy Backes Kozhimannil
Judith Kahn
Jill Farris
Shalini L Kulasingam
University of Minnesota · USMinnesota Department of Health · USYouth Development · US

Funding

Mathematical modeling and analysis of HIV care trajectories and retention in care challengesK25AI118476 · NIAID · UNIVERSITY OF MINNESOTA · PI ENNS, EVA A · 2015 to 2019
$649k
NIAID NIH HHS K25 AI118476
6 · The paper itself

Abstract

backgroundMathematical models are important tools for assessing prevention and management strategies for sexually transmitted infections. These models are usually developed for a single infection and require calibration to observed epidemiological trends in the infection of interest. Incorporating other outcomes of sexual behavior into the model, such as pregnancy, may better inform the calibration process.

methodsWe developed a mathematical model of chlamydia transmission and pregnancy in Minnesota adolescents aged 15 to 19 years. We calibrated the model to statewide rates of reported chlamydia cases alone (chlamydia calibration) and in combination with pregnancy rates (dual calibration). We evaluated the impact of calibrating to different outcomes of sexual behavior on estimated input parameter values, predicted epidemiological outcomes, and predicted impact of chlamydia prevention interventions.

resultsThe two calibration scenarios produced different estimates of the probability of condom use, the probability of chlamydia transmission per sex act, the proportion of asymptomatic infections, and the screening rate among men. These differences resulted in the dual calibration scenario predicting lower prevalence and incidence of chlamydia compared with calibrating to chlamydia cases alone. When evaluating the impact of a 10% increase in condom use, the dual calibration scenario predicted fewer infections averted over 5 years compared with chlamydia calibration alone [111 (6.8%) vs 158 (8.5%)].

conclusionsWhile pregnancy and chlamydia in adolescents are often considered separately, both are outcomes of unprotected sexual activity. Incorporating both as calibration targets in a model of chlamydia transmission resulted in different parameter estimates, potentially impacting the intervention effectiveness predicted by the model.

Indexed as

Models, TheoreticalAdolescentAdolescent BehaviorChlamydiaChlamydia InfectionsComputer SimulationCondomsFemaleHumansIncidenceMaleMinnesotaPregnancyPrevalenceSexual BehaviorSexually Transmitted Diseases

Identifiers

PMID28876313
PMCPMC5711443
OpenAlexW2705089818

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.