Practical comparison of aberration detection algorithms for biosurveillance systems.

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第一作者： Hong,Zhou

第一单位： Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, United States. Electronic address: fwd6@cdc.gov.

作者： Hong,Zhou ^[1] ; Howard,Burkom ^[2] ; Carla A,Winston ^[3] ; Achintya,Dey ^[4] ; Umed,Ajani ^[4]

作者单位： Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, United States. Electronic address: fwd6@cdc.gov. ^[1] Johns Hopkins Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723, United States. ^[2] Veterans Health Administration, Office of Public Health Surveillance and Research, 3801 Miranda Avenue (132), Palo Alto, CA 94304, United States. ^[3] Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, United States. ^[4]

关键词 Aberration detection Algorithm Biosurveillance Control chart Poisson regression

主题词算法(Algorithms);生物学监测(Biosurveillance);疾病暴发流行(Disease Outbreaks);线性模型(Linear Models);人群监测(Population Surveillance);敏感性与特异性(Sensitivity and Specificity);美国(United States)

DOI 10.1016/j.jbi.2015.08.023

PMID 26334478

发布时间 2019-12-10

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