University of Wisconsin School of Medicine and Public Health, Madison, 53792, USA.
Am J Emerg Med. 2011 Jan;29(1):70-4. doi: 10.1016/j.ajem.2009.09.009. Epub 2010 Mar 25.
The aim of this study is to demonstrate the use of emergency department (ED) syndromic surveillance in the setting of a novel and unexpected H1N1 influenza outbreak.
Data collection from ED electronic medical records was used to track initial chief complaint and discharge International Classification of Diseases, Ninth Revision, codes related to influenza-like illness (ILI). An alert threshold was generated using cumulative sum sequential analysis technique. The data were retrospectively analyzed to identify alerts that correlated with novel influenza H1N1 illness.
Our system alerted for ILI earlier than both the official national Centers for Disease Control and Prevention (CDC) press release for novel H1N1 and the first laboratory confirmed case in our county.
Emergency department syndromic surveillance can be used to detect unexpected ILI before laboratory confirmation and serve as an adjunct to traditional laboratory-guided public health alerts. Early identification may allow for more efficient laboratory testing and early implementation of respiratory isolation precautions.
本研究旨在展示在一种新颖且意外的 H1N1 流感爆发情况下,使用急诊科(ED)综合征监测的效果。
从 ED 电子病历中收集数据,以跟踪最初的主要投诉和与流感样疾病(ILI)相关的国际疾病分类,第九版出院代码。使用累积和序贯分析技术生成警报阈值。对数据进行回顾性分析,以确定与新型流感 H1N1 疾病相关的警报。
我们的系统比官方的美国疾病控制与预防中心(CDC)关于新型 H1N1 的新闻发布以及我们县首例实验室确诊病例更早地发出了 ILI 警报。
急诊科综合征监测可用于在实验室确认之前检测到意外的 ILI,并作为传统实验室指导的公共卫生警报的辅助手段。早期识别可能允许更有效地进行实验室检测,并尽早实施呼吸道隔离预防措施。