Probabilistic, Decision-theoretic Disease Surveillance and Control.
Probabilistic, Decision-theoretic Disease Surveillance and Control.
复制标题
DOI：
10.5210/ojphi.v3i3.3798
复制
发表时间：
2011-01-01
影响因子：
--
通讯作者：
Potter, Margaret
中科院分区：
文献类型：
--
作者：
Wagner, Michael;Tsui, Fuchiang;Potter, Margaret
匹兹堡公共卫生信息学卓越中心开发了一种概率决策理论系统，用于疾病监测和控制，用于宾夕法尼亚州阿勒格尼县和德克萨斯州塔兰特县。本文介绍了该系统的软件组成及其知识库。本文使用流感监测来说明软件组件如何将医疗保健系统收集的数据转换为人口水平分析和潜在爆发控制措施的决策分析。
The Pittsburgh Center of Excellence in Public Health Informatics has developed a probabilistic, decision-theoretic system for disease surveillance and control for use in Allegheny County, PA and later in Tarrant County, TX. This paper describes the software components of the system and its knowledge bases. The paper uses influenza surveillance to illustrate how the software components transform data collected by the healthcare system into population level analyses and decision analyses of potential outbreak-control measures.