The role of sexual partnership networks in the epidemiology of gonorrhea
The role of sexual partnership networks in the epidemiology of gonorrhea
复制标题
DOI：
10.1097/00007435-199701000-00009
复制
发表时间：
1997-01-01
影响因子：
3.1
通讯作者：
Garnett, GP
中科院分区：
文献类型：
--
作者：
Ghani, AC;Swinton, J;Garnett, GP
背景资料：实证研究有可能收集关于性混合和网络结构模式的数据，目标：探索不同网络措施在性传播疾病流行病学中的贡献，研究设计：使用逻辑回归分析基于个体的性伙伴关系和性传播疾病传播网络的随机模拟。与感染持续时间类似的时间累积的测量比静态横截面更能提供信息。性混合模式和网络结构影响感染模式。特别是，感染的建立是最敏感的比例nonmonogamous对，组件的分布和凝聚力之间的高活动。随后的流行是最敏感的混合在高活动类和凝聚力的措施，这两者都反映了流行率的下降所带来的不太广泛的连接，一个人的感染风险是由当地而不是全球网络结构。
Background: Empirical studies have the potential to collect data on patterns of sexual mixing and network structures,Goal: To explore the contribution of different network measures in sexually transmitted disease epidemiology,Study Design: Individual-based stochastic simulations of a network of sexual partnerships and sexually transmitted disease transmission are analyzed using logistic regression.Results and Conclusions: Measures accumulated over times similar to the duration of infection are more informative than are static cross sections. The patterns of sexual mixing and network structure influence patterns of infection. In particular, the establishment of infection is most sensitive to the proportion of nonmonogamous pairs, the component distribution and cohesion among those with high activity. The subsequent prevalence is most sensitive to the assortativeness of mixing in the high-activity class and a measure of cohesion, both of which reflect the decrease in prevalence brought about by less widespread connections, A person's risk for infection is determined by local rather than global network structures.