Comparing the Historical Limits Method with Regression Models for Weekly Monitoring of National Notifiable Diseases Reports.
Journal of Biomedical Informatics(2017)
摘要
•Used data from12 national notifiable diseases and simulated alerting signals.•Compared 4 detection methods by background alert rate, sensitivity, and timeliness.•Long-term trend adjustment improved detection performance.•The modified Historical Limits Method (HLM) outperformed the traditional HLM.•The Farrington-like method provided the best detection performance overall.
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关键词
Aberration detection,Disease surveillance,Historical limits method,Regression modeling
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