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异性恋人群中淋病和其他性传播感染的集合种群建模框架。

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

作者信息

Chen Mark I, Ghani Azra C, Edmunds W John

机构信息

Health Protection Agency, Centre for Infections, London NW9 5EQ, UK.

出版信息

J R Soc Interface. 2009 Sep 6;6(38):775-91. doi: 10.1098/rsif.2008.0394. Epub 2008 Nov 4.

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.

摘要

淋病在英国仍然是一个公共卫生问题,是继衣原体感染之后第二常见的细菌性性传播感染(STI)。在英国,淋病在流行病学上不同的亚人群中分布不均衡,在年轻人、一些少数族裔和市中心亚人群中的发病率要高得多。Hethcote和Yorke提出的性传播感染传播原始模型通过“核心群体”概念解释了其中一些特征。从那时起,几位作者修改了原始模型方法,纳入了多种性活动类别,但发现这种建模方法应用于英国等低流行率地区时并不适用。我们提出了一个用于淋病和其他性传播感染建模的集合种群框架。该模型提出,淋病的流行病学很大程度上由具有高于平均水平的高性风险活动个体浓度的亚人群驱动。我们展示了这种淋球菌流行病学概念化如何克服了与先前一些淋病建模努力相关的关键限制。我们还使用该模型解释淋病的几个流行病学特征,例如其在亚人群中的不对称分布,以及高危亚人群成员所经历的背景风险。最后,我们以衣原体为例,将该模型扩展以解释其他性传播感染的分布,衣原体是一种更普遍的细菌性性传播感染。

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