Renton A, Whitaker L, Ison C, Wadsworth J, Harris J R
Academic Department of Public Health, St Mary's Hospital, London.
J Epidemiol Community Health. 1995 Apr;49(2):205-13. doi: 10.1136/jech.49.2.205.
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.
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.
The general population of London and a genitourinary medicine (GUM) clinic in west London.
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.
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).
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.
用数学方法描述普通人群中性行为混合模式与淋病感染者性行为混合模式之间的关系,从而估计普通人群的性混合矩阵。
整合描述普通人群性行为的数据与描述淋病感染者性行为及相互接触情况的数据,并将这些数据应用于淋病感染传播动态的简单数学模型。
伦敦普通人群以及伦敦西部的一家性传播疾病诊所。
包括1520名居住在伦敦的男女,他们是从全国性态度和生活方式调查中随机选取的,以及2414名因淋病前往性传播疾病诊所就诊的异性恋男女。
从数学上推导了淋病感染者之间的性混合与普通人群中的性混合之间的关系。给出了普通人群性混合矩阵的经验估计值。结果提供了初步证据,表明性伴侣获取率高的个体优先选择其他性伴侣获取率高的个体作为伴侣(同类相吸混合)。
可靠的性混合估计值已被证明对于理解艾滋病毒感染和其他性传播疾病的流行演变很重要。证明了根据淋病接触者追踪计划中常规收集的信息来估计普通人群中性行为混合模式的可能性。此外,我们所描述的方法原则上可用于利用其他性传播疾病的接触者追踪数据来估计相同的混合模式,从而提供一种验证我们结果的方法。