Sexual network analysis of a gonorrhoea outbreak
Sexual network analysis of a gonorrhoea outbreak
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DOI：
10.1136/sti.2003.007187
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发表时间：
2004-08-01
影响因子：
3.6
通讯作者：
Jolly, AM
中科院分区：
文献类型：
--
作者：
De, P;Singh, AE;Jolly, AM
目的：性伙伴关系可被视为研究疾病传播的网络。我们在加拿大艾伯塔省的一次局部暴发中检查了淋病奈瑟菌的传播，使用网络中心性测量来确定网络成员感染风险与其在性网络中的位置之间的关系。我们还比较了以社交场所为中心的大型网络与较小的不连接组件的风险。方法：在疫情调查期间，从性病监测记录中收集淋病病例及其性接触者的流行病学资料。除了传统的接触追踪信息外，研究对象还被问及他们在过去一年中可能发生过随意性伙伴关系的社交场所。性网络是通过将有名字的伴侣联系在一起而建立起来的。完成了个体网络成员特征的单变量比较和网络中心性的代数度量。结果：性网络共182人，其中实验室确诊淋病指示病例107人，指示病例伴侣75人。在每个本地网络中具有更高信息中心性的人被发现光顾该地区主要城镇的一家受欢迎的汽车旅馆酒吧（p = 0.05）。当考虑到通过酒吧的社会互动时，一个由89个人组成的大网络被构建起来，它连接了所有8个最大的本地网络。此外，来自不同社区的几个网络由因其性伙伴关系而充当桥梁人群的个人联系在一起。结论：询问客户特定的社交场所强调了地点在疾病传播中的重要性。中心性的网络测量，特别是信息中心性，允许识别关键个体，通过这些个体，感染可能会进入当地网络。这些人将是增加干预的理想目标。
Objectives: Sexual partnerships can be viewed as networks in order to study disease transmission. We examined the transmission of Neisseria gonorrhoeae in a localised outbreak in Alberta, Canada, using measures of network centrality to determine the association between risk of infection of network members and their position within the sexual network. We also compared risk in smaller disconnected components with a large network centred on a social venue.Methods: During the investigation of the outbreak, epidemiological data were collected on gonorrhoea cases and their sexual contacts from STI surveillance records. In addition to traditional contact tracing information, subjects were interviewed about social venues they attended in the past year where casual sexual partnering may have occurred. Sexual networks were constructed by linking together named partners. Univariate comparisons of individual network member characteristics and algebraic measures of network centrality were completed.Results: The sexual networks consisted of 182 individuals, of whom 107 were index cases with laboratory confirmed gonorrhoea and 75 partners of index cases. People who had significantly higher information centrality within each of their local networks were found to have patronised a popular motel bar in the main town in the region (p = 0.05). When the social interaction through the bar was considered, a large network of 89 individuals was constructed that joined all eight of the largest local networks. Moreover, several networks from different communities were linked by individuals who served as bridge populations as a result of their sexual partnering.Conclusion: Asking clients about particular social venues emphasised the importance of location in disease transmission. Network measures of centrality, particularly information centrality, allowed the identification of key individuals through whom infection could be channelled into local networks. Such individuals would be ideal targets for increased interventions.