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

机译:一个用于异性恋人群淋病和其他性传播感染的综合人群建模框架

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摘要

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.
机译:淋病一直是英国的公共卫生问题,是衣原体之后第二大最常见的细菌性传播感染(STI)。在英国,淋病不成比例地集中在流行病学上独特的亚人群中,年轻人,一些少数民族和城市内亚人群的发病率更高。 Hethcote和Yorke提出的STI传播的原始模型通过“核心小组”的概念解释了其中的一些特征。从那时起,几位作者修改了原始模型方法,以包括多个性活动类别,但发现这种模型方法在应用于英国等低患病率的环境时并不足够。我们提出了一种用于淋病和其他性传播疾病建模的综合种群框架。该模型提出,淋病的流行病学在很大程度上是由具有较高性风险活动的个体的平均浓度高于平均水平的亚人群驱动的。我们展示了这种淋球菌流行病学的概念化方法如何克服与先前对淋病模型进行建模相关的主要限制。我们还使用该模型来解释淋病的几种流行病学特征,例如其在亚人群中的不对称分布,以及处于危险中的亚人群成员所经历的环境风险。最后,我们将衣原体作为更普遍存在的细菌STI的例子,扩展了模型以解释其他STI的分布。

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