DETECTION OF ABERRATIONS IN THE OCCURRENCE OF NOTIFIABLE DISEASES SURVEILLANCE DATA
DETECTION OF ABERRATIONS IN THE OCCURRENCE OF NOTIFIABLE DISEASES SURVEILLANCE DATA
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DOI：
10.1002/sim.4780080312
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发表时间：
1989-03-01
影响因子：
2
通讯作者：
HERNDON, JL
中科院分区：
文献类型：
--
作者：
STROUP, DF;WILLIAMSON, GD;HERNDON, JL
发现疾病和其他卫生事件发生的异常模式对公共卫生监测提出了重大挑战。本文讨论了识别基本分布中像差的三种分析方法。这些方法以美国疾病控制中心国家法定传染病监测系统中的传染病为例进行了说明。结果表明，这种分析方法是有用的。进一步的工作将确定这些方法对疾病发生的变化的敏感性。这些方法对评估和监测公共卫生监测数据很有用。
The detection of unusual patterns in the occurrence of diseases and other health events presents an important challenge to public health surveillance. This paper discusses three analytic methods for identifying aberrations in underlying distributions. The methods are illustrated on selected infectious diseases included in the National Notifiable Diseases Surveillance System of the Centers for Disease Control. Results suggest the utility of such an analytic approach. Further work will determine the sensitivity of such methods to variations in the occurrence of disease. These methods are useful for evaluating and monitoring public health surveillance data.