Transmission network analysis in tuberculosis contact investigations
Transmission network analysis in tuberculosis contact investigations
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DOI：
10.1086/523109
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发表时间：
2007-11-15
影响因子：
6.4
通讯作者：
McElroy, Peter D.
中科院分区：
文献类型：
--
作者：
Cook, Victoria J.;Sun, Sumi J.;McElroy, Peter D.
背景社会网络分析（SNA）是收集和分析传染病传播数据的一种创新方法。我们研究了这种方法是否可以检测结核分枝杆菌的传播模式，并在优先进行结核病（TB）接触调查的复杂过程中发挥有益的作用。我们从患者的医疗记录和联系访谈表中提取了常规的人口统计学和临床变量。我们还对结核病患者及其接触者进行了关于社会聚集地的结构化问卷调查。为了分析结核病传播的社会网络结构，考虑了所有病例-接触者、接触者-接触者、病例-地点和接触者-地点的二元关系（对和链接）。分子基因分型用于确认SNA检测到的TB簇。使用SNA方法，通过相互接触或社会聚集地将通过传统接触调查数据未联系的结核病患者联系起来。在某些情况下，SNA在获得基因分型结果之前就检测到了相关群体。接触者结核菌素皮试阳性结果与接触者所在的人-地网络密集区呈正相关（P
Background. Social network analysis (SNA) is an innovative approach to the collection and analysis of infectious disease transmission data. We studied whether this approach can detect patterns of Mycobacterium tuberculosis transmission and play a helpful role in the complex process of prioritizing tuberculosis (TB) contact investigations.Methods. We abstracted routine demographic and clinical variables from patient medical records and contact interview forms. We also administered a structured questionnaire about places of social aggregation to TB patients and their contacts. All case-contact, contact-contact, case-place, and contact-place dyads (pairs and links) were considered in order to analyze the structure of a social network of TB transmission. Molecular genotyping was used to confirm SNA-detected clusters of TB.Results. TB patients not linked through conventional contact-investigation data were connected through mutual contacts or places of social aggregation, using SNA methods. In some instances, SNA detected connected groups prior to the availability of genotyping results. A positive correlation between positive results of contacts' tuberculin skin test (TST) and location in denser portions of the person-place network was observed (P