Literature DB >> 21352783

Transmission dynamics of Chlamydia trachomatis affect the impact of screening programmes.

Christian L Althaus1, Janneke C M Heijne2, Adrian Roellin3, Nicola Low2.   

Abstract

To assess the impact of screening programmes in reducing the prevalence of Chlamydia trachomatis, mathematical and computational models are used as a guideline for decision support. Unfortunately, large uncertainties exist about the parameters that determine the transmission dynamics of C. trachomatis. Here, we use a SEIRS (susceptible-exposed-infected-recovered-susceptible) model to critically analyze the turnover of C. trachomatis in a population and the impact of a screening programme. We perform a sensitivity analysis on the most important steps during an infection with C. trachomatis. Varying the fraction of the infections becoming symptomatic as well as the duration of the symptomatic period within the range of previously used parameter estimates has little effect on the transmission dynamics. However, uncertainties in the duration of temporary immunity and the asymptomatic period can result in large differences in the predicted impact of a screening programme. We therefore analyze previously published data on the persistence of asymptomatic C. trachomatis infection in women and estimate the mean duration of the asymptomatic period to be longer than anticipated so far, namely 433 days (95% CI: 420-447 days). Our study shows that a longer duration of the asymptomatic period results in a more pronounced impact of a screening programme. However, due to the slower turnover of the infection, a substantial reduction in prevalence can only be achieved after screening for several years or decades.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21352783     DOI: 10.1016/j.epidem.2010.04.002

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  32 in total

1.  The role of reinfection and partner notification in the efficacy of Chlamydia screening programs.

Authors:  Janneke C M Heijne; Christian L Althaus; Sereina A Herzog; Mirjam Kretzschmar; Nicola Low
Journal:  J Infect Dis       Date:  2010-12-24       Impact factor: 5.226

2.  Estimating the likely public health impact of partner notification for a clinical service: an evidence-based algorithm.

Authors:  Catherine H Mercer; Catherine R H Aicken; M Gary Brook; Claudia S Estcourt; Jackie A Cassell
Journal:  Am J Public Health       Date:  2011-09-22       Impact factor: 9.308

3.  Double trouble: modelling the impact of low risk perception and high-risk sexual behaviour on chlamydia transmission.

Authors:  Daphne A van Wees; Chantal den Daas; Mirjam E E Kretzschmar; Janneke C M Heijne
Journal:  J R Soc Interface       Date:  2018-04       Impact factor: 4.118

4.  Transmission of Chlamydia trachomatis through sexual partnerships: a comparison between three individual-based models and empirical data.

Authors:  Christian L Althaus; Katherine M E Turner; Boris V Schmid; Janneke C M Heijne; Mirjam Kretzschmar; Nicola Low
Journal:  J R Soc Interface       Date:  2011-06-08       Impact factor: 4.118

5.  Cost-Effectiveness of Opt-Out Chlamydia Testing for High-Risk Young Women in the U.S.

Authors:  Kwame Owusu-Edusei; Karen W Hoover; Thomas L Gift
Journal:  Am J Prev Med       Date:  2016-03-04       Impact factor: 5.043

6.  The cost-effectiveness of screening men who have sex with men for rectal chlamydial and gonococcal infection to prevent HIV Infection.

Authors:  Harrell W Chesson; Kyle T Bernstein; Thomas L Gift; Julia L Marcus; Sharon Pipkin; Charlotte K Kent
Journal:  Sex Transm Dis       Date:  2013-05       Impact factor: 2.830

Review 7.  Screening for genital chlamydia infection.

Authors:  Nicola Low; Shelagh Redmond; Anneli Uusküla; Jan van Bergen; Helen Ward; Berit Andersen; Hannelore Götz
Journal:  Cochrane Database Syst Rev       Date:  2016-09-13

8.  Exploring short-term responses to changes in the control strategy for Chlamydia trachomatis.

Authors:  James Clarke; K A Jane White; Katy Turner
Journal:  Comput Math Methods Med       Date:  2012-06-03       Impact factor: 2.238

9.  Population movement can sustain STI prevalence in remote Australian indigenous communities.

Authors:  Ben B Hui; Richard T Gray; David P Wilson; James S Ward; Anthony M A Smith; David J Philip; Matthew G Law; Jane S Hocking; David G Regan
Journal:  BMC Infect Dis       Date:  2013-04-25       Impact factor: 3.090

10.  Timing of progression from Chlamydia trachomatis infection to pelvic inflammatory disease: a mathematical modelling study.

Authors:  Sereina A Herzog; Christian L Althaus; Janneke Cm Heijne; Pippa Oakeshott; Sally Kerry; Phillip Hay; Nicola Low
Journal:  BMC Infect Dis       Date:  2012-08-11       Impact factor: 3.090

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