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A multi-data source surveillance system to detect a bioterrorism attack during the G8 summit in Scotland

机译:一个多数据源监视系统,用于在苏格兰G8峰会期间检测生物恐怖袭击

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摘要

In 18 weeks, Health Protection Scotland (HPS) deployed a syndromic surveillance system to early-detect natural or intentional disease outbreaks during the G8 Summit 2005 at Gleneagles, Scotland. The system integrated clinical and non-clinical datasets. Clinical datasets included Accident and Emergency (A and E) syndromes, and General Practice (GPs) codes grouped into syndromes. Non-clinical data included telephone calls to a nurse helpline, laboratory test orders, and hotel staff absenteeism. A cumulative sum-based detection algorithm and a log-linear regression model identified signals in the data. The system had a fax-based track for real-time identification of unusual presentations. Ninety-five signals were triggered by the detection algorithms and four forms were faxed to HPS. Thirteen signals were investigated. The system successfully complemented a traditional surveillance system in identifying a small cluster of gastroenteritis among the police force and triggered interventions to prevent further cases.
机译:在18周的时间里,苏格兰卫生防护(HPS)部署了一个症状监测系统,以在2005年苏格兰格伦伊格尔斯(Gleneagles)举行的八国集团首脑会议期间,尽早发现自然或故意疾病的暴发。该系统集成了临床和非临床数据集。临床数据集包括事故和紧急情况(A和E)综合征,以及被划分为综合征的一般医疗(GPs)代码。非临床数据包括打给护士服务热线的电话,实验室检查单和酒店员工缺勤。基于累积和的检测算法和对数线性回归模型可识别数据中的信号。该系统具有基于传真的跟踪,可实时识别异常的演示文稿。检测算法触发了95个信号,并将四种形式传真到HPS。研究了十三种信号。该系统成功地补充了传统的监视系统,以识别警察中的一小群胃肠炎,并触发了干预措施以防止进一步的病例。

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