社会网络分析能否帮助解决萨斯喀彻温省细菌性性传播感染的高发病率问题？
Can Social Network Analysis Help Address the High Rates of Bacterial Sexually Transmitted Infections in Saskatchewan?
作者信息
Trecker Molly A, Dillon Jo-Anne R, Lloyd Kathy, Hennink Maurice, Jolly Ann, Waldner Cheryl
机构信息
From the *Vaccine and Infectious Disease Organization-International Vaccine Centre; †School of Public Health, ‡Department of Microbiology and Immunology, College of Medicine, University of Saskatchewan, Saskatoon; §Regina Qu'Appelle Health Region, Regina, Saskatchewan; ¶Centre for Infectious Disease Prevention and Control, Health Canada and Public Health Agency of Canada; ∥Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario; and **Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
出版信息
Sex Transm Dis. 2017 Jun;44(6):338-343. doi: 10.1097/OLQ.0000000000000599.
BACKGROUND
Saskatchewan has one of the highest rates of gonorrhea among the Canadian provinces-more than double the national rate. In light of these high rates, and the growing threat of untreatable infections, improved understanding of gonorrhea transmission dynamics in the province and evaluation of the current system and tools for disease control are important.
METHODS
We extracted data from a cross-sectional sample of laboratory-confirmed gonorrhea cases between 2003 and 2012 from the notifiable disease files of the Regina Qu'Appelle Health Region. The database was stratified by calendar year, and social network analysis combined with statistical modeling was used to identify associations between measures of connection within the network and the odds of repeat gonorrhea and risk of coinfection with chlamydia at the time of diagnosis.
RESULTS
Networks were highly fragmented. Younger age and component size were positively associated with being coinfected with chlamydia. Being coinfected, reporting sex trade involvement, and component size were all positively associated with repeat infection.
CONCLUSIONS
This is the first study to apply social network analysis to gonorrhea transmission in Saskatchewan and contributes important information about the relationship of network connections to gonorrhea/chlamydia coinfection and repeat gonorrhea. This study also suggests several areas for change of systems-related factors that could greatly increase understanding of social networks and enhance the potential for bacterial sexually transmitted infection control in Saskatchewan.
背景
萨斯喀彻温省是加拿大各省中淋病发病率最高的地区之一，超过全国发病率的两倍。鉴于这些高发病率以及无法治疗的感染带来的日益严重的威胁，更好地了解该省淋病传播动态以及评估当前疾病控制系统和工具非常重要。
方法
我们从里贾纳夸阿佩勒健康区域的法定传染病档案中提取了2003年至2012年实验室确诊淋病病例的横断面样本数据。数据库按日历年分层，并采用社会网络分析结合统计建模来确定网络内连接度量与重复感染淋病几率以及诊断时衣原体合并感染风险之间的关联。
结果
网络高度分散。年龄较小和组件规模与衣原体合并感染呈正相关。合并感染、报告涉足性交易以及组件规模均与重复感染呈正相关。
结论
这是第一项将社会网络分析应用于萨斯喀彻温省淋病传播的研究，为网络连接与淋病/衣原体合并感染及重复感染淋病之间的关系提供了重要信息。本研究还提出了几个与系统相关因素的变革领域，这可能会极大地增进对社会网络的理解，并增强萨斯喀彻温省细菌性性传播感染控制的潜力。
Zotero 插件