Literature DB >> 21653569

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

Christian L Althaus1, Katherine M E Turner, Boris V Schmid, Janneke C M Heijne, Mirjam Kretzschmar, Nicola Low.   

Abstract

Chlamydia trachomatis is the most common bacterial sexually transmitted infection (STI) in many developed countries. The highest prevalence rates are found among young adults who have frequent partner change rates. Three published individual-based models have incorporated a detailed description of age-specific sexual behaviour in order to quantify the transmission of C. trachomatis in the population and to assess the impact of screening interventions. Owing to varying assumptions about sexual partnership formation and dissolution and the great uncertainty about critical parameters, such models show conflicting results about the impact of preventive interventions. Here, we perform a detailed evaluation of these models by comparing the partnership formation and dissolution dynamics with data from Natsal 2000, a population-based probability sample survey of sexual attitudes and lifestyles in Britain. The data also allow us to describe the dispersion of C. trachomatis infections as a function of sexual behaviour, using the Gini coefficient. We suggest that the Gini coefficient is a useful measure for calibrating infectious disease models that include risk structure and highlight the need to estimate this measure for other STIs.

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Year:  2011        PMID: 21653569      PMCID: PMC3223622          DOI: 10.1098/rsif.2011.0131

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  41 in total

1.  Gap length: an important factor in sexually transmitted disease transmission.

Authors:  Julie R Kraut-Becher; Sevgi O Aral
Journal:  Sex Transm Dis       Date:  2003-03       Impact factor: 2.830

2.  Geographical variations in the epidemiology of bacterial sexually transmitted infections in Manitoba, Canada.

Authors:  L J Elliott; J F Blanchard; C M Beaudoin; C G Green; D L Nowicki; P Matusko; S Moses
Journal:  Sex Transm Infect       Date:  2002-04       Impact factor: 3.519

3.  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

Review 4.  Network structure and the biology of populations.

Authors:  Robert M May
Journal:  Trends Ecol Evol       Date:  2006-04-03       Impact factor: 17.712

5.  Degree distributions in sexual networks: a framework for evaluating evidence.

Authors:  Deven T Hamilton; Mark S Handcock; Martina Morris
Journal:  Sex Transm Dis       Date:  2008-01       Impact factor: 2.830

6.  Sexual behaviour in Britain: reported sexually transmitted infections and prevalent genital Chlamydia trachomatis infection.

Authors:  K A Fenton; C Korovessis; A M Johnson; A McCadden; S McManus; K Wellings; C H Mercer; C Carder; A J Copas; K Nanchahal; W Macdowall; G Ridgway; J Field; B Erens
Journal:  Lancet       Date:  2001-12-01       Impact factor: 79.321

7.  Sexual behaviour in Britain: partnerships, practices, and HIV risk behaviours.

Authors:  A M Johnson; C H Mercer; B Erens; A J Copas; S McManus; K Wellings; K A Fenton; C Korovessis; W Macdowall; K Nanchahal; S Purdon; J Field
Journal:  Lancet       Date:  2001-12-01       Impact factor: 79.321

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

Authors:  Christian L Althaus; Janneke C M Heijne; Adrian Roellin; Nicola Low
Journal:  Epidemics       Date:  2010-04-24       Impact factor: 4.396

Review 9.  Epidemiological, social, diagnostic and economic evaluation of population screening for genital chlamydial infection.

Authors:  N Low; A McCarthy; J Macleod; C Salisbury; R Campbell; T E Roberts; P Horner; S Skidmore; J A C Sterne; E Sanford; F Ibrahim; A Holloway; R Patel; P M Barton; S M Robinson; N Mills; A Graham; A Herring; E O Caul; G Davey Smith; F D R Hobbs; J D C Ross; M Egger
Journal:  Health Technol Assess       Date:  2007-03       Impact factor: 4.014

10.  Preferential attachment in sexual networks.

Authors:  Birgitte Freiesleben de Blasio; Ake Svensson; Fredrik Liljeros
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-19       Impact factor: 11.205

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  32 in total

1.  Influence of network dynamics on the spread of sexually transmitted diseases.

Authors:  Sebastián Risau-Gusman
Journal:  J R Soc Interface       Date:  2011-11-23       Impact factor: 4.118

2.  The dynamics of sexual contact networks: effects on disease spread and control.

Authors:  Katy Robinson; Ted Cohen; Caroline Colijn
Journal:  Theor Popul Biol       Date:  2012-01-08       Impact factor: 1.570

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.  The effect of changes in condom usage and antiretroviral treatment coverage on human immunodeficiency virus incidence in South Africa: a model-based analysis.

Authors:  Leigh F Johnson; Timothy B Hallett; Thomas M Rehle; Rob E Dorrington
Journal:  J R Soc Interface       Date:  2012-01-18       Impact factor: 4.118

Review 5.  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

6.  Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems.

Authors:  Patrick T S Lai; Jeffrey Wilson; Huanmei Wu; Josette Jones; Brian E Dixon
Journal:  Online J Public Health Inform       Date:  2019-09-19

7.  Per-partnership transmission probabilities for Chlamydia trachomatis infection: evidence synthesis of population-based survey data.

Authors:  Joanna Lewis; Peter J White; Malcolm J Price
Journal:  Int J Epidemiol       Date:  2021-05-17       Impact factor: 7.196

8.  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

9.  Effects of population based screening for Chlamydia infections in the Netherlands limited by declining participation rates.

Authors:  Boris V Schmid; Eelco A B Over; Ingrid V F van den Broek; Eline L M Op de Coul; Jan E A M van Bergen; Johan S A Fennema; Hannelore M Götz; Christian J P A Hoebe; G Ardine de Wit; Marianne A B van der Sande; Mirjam E E Kretzschmar
Journal:  PLoS One       Date:  2013-03-20       Impact factor: 3.240

10.  Individual and population level effects of partner notification for Chlamydia trachomatis.

Authors:  Christian L Althaus; Janneke C M Heijne; Sereina A Herzog; Adrian Roellin; Nicola Low
Journal:  PLoS One       Date:  2012-12-12       Impact factor: 3.240

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