MMWR Morb Mortal Wkly Rep. 2011 Apr 8;60(13):406-9.
The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE), version II, designed by the Johns Hopkins University Applied Physics Laboratory and the U.S. Department of Defense (DoD), is an Internet-based syndromic disease surveillance system used by civilian and military health departments. ESSENCE was designed to increase the timeliness of outbreak detection, serving as an early warning system and providing opportunities to prevent and control the spread of infection. After a 2009 pandemic influenza A (H1N1) outbreak at the U.S. Air Force (USAF) Academy in Colorado, CDC was invited to conduct an evaluation of the ESSENCE influenza-like illness (ILI) surveillance system to assess its performance during the outbreak. Medical records at the USAF Academy clinics from June 25 through July 8, 2009, the period of the outbreak, were reviewed. This report summarizes the results of the evaluation, which demonstrated strengths in data quality, flexibility, and representativeness; however, ESSENCE was not useful for detecting or monitoring the H1N1 outbreak because of its lack of timeliness (1-3 day delay), inadequate sensitivity (71.4%), and poor predictive value positive (PVP) (31.8%) for identifying ILI cases. In this localized, single-source outbreak, ESSENCE did not serve as an early warning system for an emerging infectious disease and did not detect the outbreak soon enough to institute prevention and control measures that might have slowed the spread of infection. More frequent Internet data transmissions from the clinics to the ESSENCE server could improve timeliness, and PVP could be enhanced by including measured body temperature in the ESSENCE ILI case definition.
电子社区传染病预警监测系统(ESSENCE)第二版是由约翰霍普金斯大学应用物理实验室和美国国防部(DoD)设计的,是一个基于互联网的综合征疾病监测系统,被民用和军用卫生部门使用。ESSENCE 的设计目的是提高疫情发现的及时性,作为一种预警系统,并提供预防和控制感染传播的机会。在科罗拉多州美国空军学院(USAF)发生 2009 年大流行性流感 A(H1N1)疫情后,疾病预防控制中心应邀对 ESSENCE 流感样疾病(ILI)监测系统进行评估,以评估其在疫情期间的表现。对 2009 年 6 月 25 日至 7 月 8 日(疫情爆发期间)美国空军学院诊所的医疗记录进行了审查。本报告总结了评估结果,评估结果显示数据质量、灵活性和代表性方面具有优势;然而,由于其及时性差(延迟 1-3 天)、灵敏度不足(71.4%)以及对识别 ILI 病例的阳性预测值(PPV)差(31.8%),ESSENCE 对监测大流行 H1N1 疫情没有帮助。在这种本地化、单一来源的暴发中,ESSENCE 并没有作为新发传染病的预警系统,并且没有及时发现疫情,无法采取预防和控制措施,减缓感染的传播。从诊所更频繁地向 ESSENCE 服务器传输互联网数据可以提高及时性,并且通过在 ESSENCE ILI 病例定义中包含测量体温,可以提高 PPV。