Factors affecting automated syndromic surveillance

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Objective:The increased threat of bioterroristic attacks and epidemic events requires the development of accurate and timely outbreak detection systems for early identification of anomalies in public health data.

论文关键词:Syndromic surveillance,Time series model,False positive detection,True positive detection,Graphical models

论文评审过程:Received 18 June 2004, Revised 8 November 2004, Accepted 11 November 2004, Available online 12 February 2005.

论文官网地址:https://doi.org/10.1016/j.artmed.2004.11.002