首页> 美国卫生研究院文献>British Journal of Preventive Social Medicine >Estimating the sexual mixing patterns in the general population from those in people acquiring gonorrhoea infection: theoretical foundation and empirical findings.
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Estimating the sexual mixing patterns in the general population from those in people acquiring gonorrhoea infection: theoretical foundation and empirical findings.

机译:从获得淋病感染的人群中估计普通人群的性别混合模式:理论基础和经验发现。

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摘要

STUDY OBJECTIVES--To describe mathematically the relationship between patterns of sexual mixing in the general population and those of people with gonorrhoea infection, and hence to estimate the sexual mixing matrix for the general population. DESIGN--Integration of data describing sexual behaviour in the general population, with data describing sexual behaviour and mixing among individuals infected with gonorrhoea. Use of these data in a simple mathematical model of the transmission dynamics of gonorrhoea infection. SETTING--The general population of London and a genitourinary medicine (GUM) clinic in west London. PARTICIPANT--These comprised 1520 men and women living in London who were randomly selected for the national survey of sexual attitudes and lifestyles and 2414 heterosexual men and women who presented to the GUM clinic with gonorrhoea. MAIN RESULTS--The relationship between sexual mixing among people with gonorrhoea and sexual mixing in the general population is derived mathematically. An empirical estimate of the sexual mixing matrix for the general population is presented. The results provide tentative evidence that individuals with high rates of acquisition of sexual partners preferentially select other individuals with high rates as partners (assortative mixing). CONCLUSIONS--Reliable estimates of sexual mixing have been shown to be important for understanding the evolution of the epidemics of HIV infection and other sexually transmitted diseases. The possibility of estimating patterns of sexual mixing in the general population from information routinely collected in gonorrhoea contact tracing programmes is demonstrated. Furthermore, the approach we describe could, in principle, be used to estimate the same patterns of mixing, using contact tracing data for other sexually transmitted diseases, thus providing a way of validating our results.
机译:研究目标-以数学方式描述普通人群与淋病感染者之间的性混合模式之间的关系,从而估算普通人群的性混合矩阵。设计-整合描述一般人群中性行为的数据以及描述性行为以及淋病患者个体间性行为的数据。在淋病感染传播动力学的简单数学模型中使用这些数据。地点-伦敦的总人口和伦敦西部的泌尿生殖医学(GUM)诊所。参与者-这些人包括1520名居住在伦敦的男女,这些人被随机选入全国性态度和生活方式调查,以及2414名因淋病而向GUM诊所就诊的异性恋男女。主要结果-淋病患者的性交与一般人群中的性交之间的关系是通过数学得出的。提出了对一般人群的性混合矩阵的经验估计。结果提供了初步的证据,表明获得性伴侣的比率高的人优先选择其他比率高的人作为伴侣(分类混合)。结论-对性交的可靠估计对于了解HIV感染和其他性传播疾病的流行发展具有重要意义。证明了从淋病接触者追踪计划中常规收集的信息估计普通人群中性混合方式的可能性。此外,我们描述的方法原则上可以用于估计其他人的性传播疾病的接触追踪数据的相同混合方式,从而提供一种验证我们结果的方法。

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