Literature DB >> 18986961

A metapopulation modelling framework for gonorrhoea and other sexually transmitted infections in heterosexual populations.

Mark I Chen1, Azra C Ghani, W John Edmunds.   

Abstract

Gonorrhoea continues to be a public health problem in the UK, and is the second most common bacterial sexually transmitted infection (STI) after chlamydia. In the UK, gonorrhoea is disproportionately concentrated in epidemiologically distinct subpopulations, with much higher incidence rates in young people, some ethnic minorities and inner city subpopulations. The original model of STI transmission proposed by Hethcote and Yorke explained some of these features through the concept of the 'core group'. Since then, several authors have modified the original model approach to include multiple sexual activity classes, but found this modelling approach to be inadequate when applied to low-prevalence settings such as the UK. We present a metapopulation framework for modelling gonorrhoea and other STIs. The model proposes that the epidemiology of gonorrhoea is largely driven by subpopulations with higher than average concentrations of individuals with high sexual risk activity. We show how this conceptualization of gonococcal epidemiology overcomes key limitations associated with some of the prior efforts to model gonorrhoea. We also use the model to explain several epidemiological features of gonorrhoea, such as its asymmetric distribution across subpopulations, and the contextual risk experienced by members of at-risk subpopulations. Finally, we extend the model to explain the distribution of other STIs, using chlamydia as an example of a more ubiquitous bacterial STI.

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Year:  2008        PMID: 18986961      PMCID: PMC2855508          DOI: 10.1098/rsif.2008.0394

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


  48 in total

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6.  Number of sexual encounters involving intercourse and the transmission of sexually transmitted infections.

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Journal:  Sex Transm Dis       Date:  2006-06       Impact factor: 2.830

7.  Incidence of gonorrhoea diagnosed in GUM clinics in South Thames (west) region.

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

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9.  Asymptomatic sexually transmitted diseases: the case for screening.

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10.  Surveillance of Chlamydia trachomatis and Neisseria gonorrhoeae infections in women in detention in Baltimore, Maryland.

Authors:  Justin Hardick; Yu-Hsiang Hsieh; Scott Tulloch; James Kus; Jennifer Tawes; Charlotte A Gaydos
Journal:  Sex Transm Dis       Date:  2003-01       Impact factor: 2.830

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  8 in total

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Journal:  J R Soc Interface       Date:  2018-04       Impact factor: 4.118

2.  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
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3.  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
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4.  Comparability of results from pair and classical model formulations for different sexually transmitted infections.

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Journal:  Emerg Infect Dis       Date:  2015-06       Impact factor: 6.883

6.  Gini coefficients for measuring the distribution of sexually transmitted infections among individuals with different levels of sexual activity.

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7.  Antibiotic-Resistant Neisseria gonorrhoeae Spread Faster with More Treatment, Not More Sexual Partners.

Authors:  Stephanie M Fingerhuth; Sebastian Bonhoeffer; Nicola Low; Christian L Althaus
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8.  Estimated Impact of Screening on Gonorrhea Epidemiology in the United States: Insights From a Mathematical Model.

Authors:  Ashleigh R Tuite; Minttu M Rönn; Emory E Wolf; Thomas L Gift; Harrell W Chesson; Andres Berruti; Kara Galer; Nicolas A Menzies; Katherine Hsu; Joshua A Salomon
Journal:  Sex Transm Dis       Date:  2018-11       Impact factor: 2.830

  8 in total

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