Holtry Rekha S, Hung Lang M, Lewis Sheri H
Johns Hopkins University, Applied Physics Laboratory.
Online J Public Health Inform. 2010;2(3). doi: 10.5210/ojphi.v2i3.3028. Epub 2010 Dec 23.
The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) enables health care practitioners to detect and monitor health indicators of public health importance. ESSENCE is used by public health departments in the National Capital Region (NCR); a cross-jurisdictional data sharing agreement has allowed cooperative health information sharing in the region since 2004. Emergency department visits for influenza-like illness (ILI) in the NCR from 2008 are compared to those of 2009. Important differences in the rates, timing, and demographic composition of ILI visits were found. By monitoring a regional surveillance system, public health practitioners had an increased ability to understand the magnitude and character of different ILI outbreaks. This increased ability provided crucial community-level information on which to base response and control measures for the novel 2009 H1N1 influenza outbreak. This report underscores the utility of automated surveillance systems in monitoring community-based outbreaks. There are several limitations in this study that are inherent with syndrome-based surveillance, including utilizing chief complaints versus confirmed laboratory data, discerning real disease versus those healthcare-seeking behaviors driven by panic, and reliance on visit counts versus visit rates.
社区疫情早期预警电子监测系统(ESSENCE)使医护人员能够检测和监测具有公共卫生重要性的健康指标。美国首都地区(NCR)的公共卫生部门使用ESSENCE;自2004年以来,一项跨辖区数据共享协议允许该地区进行合作性健康信息共享。将2008年以来NCR地区流感样疾病(ILI)的急诊就诊情况与2009年的情况进行比较。发现ILI就诊率、时间和人口构成存在重要差异。通过监测区域监测系统,公共卫生从业人员有更强的能力了解不同ILI疫情的规模和特征。这种更强的能力为针对2009年新型H1N1流感疫情制定应对和控制措施提供了关键的社区层面信息。本报告强调了自动监测系统在监测社区疫情方面的效用。本研究存在一些基于综合征监测所固有的局限性,包括使用主诉而非确诊实验室数据、区分实际疾病与恐慌驱动的就医行为,以及依赖就诊次数而非就诊率。