Chretien Jean-Paul, Tomich Nancy E, Gaydos Joel C, Kelley Patrick W
Department of Defense Global Emerging Infections Surveillance and Response System, Silver Spring, MD, USA.
Am J Public Health. 2009 Aug;99(8):1360-3. doi: 10.2105/AJPH.2008.133926. Epub 2009 Jun 18.
Public health agencies conduct surveillance to identify and prioritize health issues and evaluate interventions. Recently, natural and deliberate epidemics have motivated supplementary approaches to traditional surveillance methods based on physician and laboratory reporting. Fueled initially by post–September 11, 2001, bioterrorism-related funding, and more recently used for detecting natural outbreaks, these systems, many of which are called “syndromic” systems because they focus on syndromes recorded before the diagnosis, capture real-time health data and scan for anomalies suggesting an outbreak. Although these systems as typically implemented have often proven unreliable for detecting natural and simulated epidemics, real-time health-related data hold promise for public health. If redesigned to reliably perform beyond outbreak detection, syndromic systems could demonstrate unprecedented capabilities in responding to public health emergencies.
公共卫生机构开展监测,以确定健康问题并确定其优先顺序,同时评估干预措施。最近,自然发生的和蓄意引发的疫情促使人们在基于医生和实验室报告的传统监测方法基础上采用补充方法。这些系统最初由2001年9月11日之后与生物恐怖主义相关的资金推动,最近又用于检测自然爆发的疫情,其中许多系统被称为“症状监测”系统,因为它们关注诊断前记录的症状,收集实时健康数据并扫描表明爆发的异常情况。尽管这些系统在通常实施过程中常常被证明在检测自然和模拟疫情方面不可靠,但与健康相关的实时数据对公共卫生具有前景。如果重新设计以可靠地超越疫情检测发挥作用,症状监测系统在应对突发公共卫生事件方面可能展现出前所未有的能力。