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性网络中的HIV传播:一项实证分析。

HIV transmission in sexual networks: an empirical analysis.

作者信息

Service S k, Blower S M

机构信息

Department of Psychiatry, University of California San Francisco 94143, USA.

出版信息

Proc Biol Sci. 1995 Jun 22;260(1359):237-44. doi: 10.1098/rspb.1995.0086.

Abstract

Risk behaviour and egocentric sexual network data collected from a large random sample of young gay men in San Francisco were analysed to assess the importance of sexual mixing (i.e. sexual networks) in the acquisition of HIV. These data were collected in 1993, during wave one of a longitudinal cohort study of HIV transmission in gay men; the seroprevalence level in the sample was 18%. We identify recent sexual mixing patterns and we demonstrate that seropositives and seronegatives have very different age-stratified sexual mixing patterns. We show that sexual mixing can explain the current seroprevalence patterns in the young gay community; seroprevalence levels in risk groups reflect the degree of sexual mixing with the older (and more heavily infected) age group. Our results suggest that seropositives became infected with HIV not simply owing to an increased rate of acquisition of sex partners, but also as a result of their sexual mixing pattern. We develop and apply a simple methodology that uses the sexual network data in combination with risk behaviour data to estimate the future number of seroconverters. Our methodology is validated by testing our predictions against the observed seroconversion data collected during wave two of the cohort study in 1994. Our analyses empirically demonstrate (for the first time) the significance of sexual mixing as a risk factor for HIV transmission.

摘要

对从旧金山大量年轻男同性恋者随机样本中收集的风险行为和以自我为中心的性网络数据进行了分析,以评估性混合(即性网络)在艾滋病毒感染中的重要性。这些数据于1993年收集,是男同性恋者艾滋病毒传播纵向队列研究第一波期间收集的;样本中的血清阳性率为18%。我们确定了近期的性混合模式,并证明血清阳性者和血清阴性者有非常不同的按年龄分层的性混合模式。我们表明,性混合可以解释年轻男同性恋群体目前的血清阳性率模式;风险群体中的血清阳性率水平反映了与年龄较大(且感染更严重)群体的性混合程度。我们的结果表明,血清阳性者感染艾滋病毒不仅是因为获得性伴侣的比率增加,还因为他们的性混合模式。我们开发并应用了一种简单的方法,该方法将性网络数据与风险行为数据结合起来,以估计未来血清转化者的数量。通过将我们的预测与1994年队列研究第二波期间收集的观察到的血清转化数据进行比较,验证了我们的方法。我们的分析首次通过实证证明了性混合作为艾滋病毒传播风险因素的重要性。

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