A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks.
A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks.
复制标题
性传播感染网络内实体解决的黄金标准。
DOI：
10.1038/s41598-018-26794-7
复制
发表时间：
2018
影响因子：
4.6
通讯作者：
Liao,Chuanhong
中科院分区：
文献类型：
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作者：
Schneider,John;Schumm,LPhilip;Fraser,Maya;Yeldandi,Vijay;Liao,Chuanhong
自 1936 年以来，用于性病控制的接触者追踪已得到广泛应用，并依赖于报告的有关接触者属性的信息来确定两个接触者是否可能代表同一个人。我们开发并实施了一个黄金标准，用于确定不同个人使用手机号码作为唯一标识符报告的联系人之间的重叠。然后使用该方法来评估使用报告的姓名和人口统计特征来推断重叠的性能。使用一种新颖的混合工具收集了印度高危男性样本及其联系人的手机号码、姓名和人口统计数据，该工具涉及手机数据提取和计算机辅助个人访谈（CAPI）。根据报告的姓名和属性之间的对应关系，使用逻辑回归对不同受访者报告的一对联系人相同的概率进行建模。提出了一种离散混合模型，它提供的预测几乎与逻辑模型一样好，但可以在新群体中使用而无需重新校准。尽管 AUC 达到 0.83-0.86，但大量接触对之间的真实重叠率较低，仍然会导致较高的误报率。下一代接触者追踪需要更多的存档或数字匹配流程。
Contact tracing for venereal disease control has been widespread since 1936 and relies on reported information about contacts’ attributes to determine whether two contacts may represent the same individual. We developed and implemented a gold-standard for determining overlap between contacts reported by different individuals using cell phone numbers as unique identifiers. This method was then used to evaluate the performance of using reported names and demographic characteristics to infer overlap. Cell-phone numbers, names and demographic data for a sample of high-risk men in India and their contacts were collected using a novel, hybrid instrument involving both cell-phone data extraction and Computer-Assisted Personal Interviewing (CAPI). Logistic regression was used to model the probability that a pair of contacts reported by different respondents were identical, based on the correspondence between their reported names and attributes. A discrete mixture model is proposed which provides predictions nearly as good as the logistic model but may be used in a new population without re-calibration. Despite achieving AUCs of 0.83–0.86, the low rate of true overlap among a very large number of contact pairs still results in a high rate of false positives. Next generation contact tracing calls for more archived or digital matching processes.