文章摘要
王小莉,王全意,刘东磊,曾大军,程贺,李素,段玮,黎新宇,栾荣生,贺雄.采用北京市麻疹的暴发模拟数据比较几种预警模型的功效[J].中华流行病学杂志,2009,30(2):159-162
采用北京市麻疹的暴发模拟数据比较几种预警模型的功效
Comparison between early outbreak detection models and simulated Outbreaks of measles in Beijing
收稿日期:2008-07-31  出版日期:2014-09-18
DOI:
中文关键词: 麻疹;预警;指数加权移动平均;时空重排扫描
英文关键词: Measles;Early outbreak detection;Exponential weighted moving average;Space-time permutation scan-statistic
基金项目:北京市自然科学基金资助项目(7082047);北京市优秀人才培养资助项目(2007id0302600112)
作者单位E-mail
王小莉 北京市疾病预防控制中心 100013  
王全意 北京市疾病预防控制中心 100013  
刘东磊 北京市疾病预防控制中心 100013  
曾大军 中国科学院自动化研究所  
程贺 中国科学院自动化研究所  
李素 中国科学院自动化研究所  
段玮 北京市疾病预防控制中心 100013  
黎新宇 北京市疾病预防控制中心 100013  
栾荣生 四川大学华西医学中心公共卫生学院  
贺雄 北京市疾病预防控制中心 100013 Email:hexiong@vip.163.com 
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中文摘要:
      优选出北京市麻疹的最佳预警模型及其参数,为其自动预警提供技术支持。方法利用暴发模拟软件生成一系列不同性质的暴发信号,将其添加到北京市2005-2007年麻疹的实际日报数中。
英文摘要:
      Using simulated outbreaks to choose the optimal model and its related parameters on measles so as to provide technical support for developing an Auto Warning System(AWS).Methods AEGiS-Cluster Creation Tool was applied to simulate a range oftmique outbreak signals.Then these simulations were added to the aetnal daily counts of measles from the National Disease Surveillance System,between 2005 and 2007.Exponential weighted moving average(EWMA),C1-MILD(C1),C2.MEDIUM(C2).C3-ULTRA(C3)and space.time permutation scar statistic model were comprehensively applied to detect these simulations.Tools for evaluation as Youden's index and detection time were calculated to optimize parameters before an optimal model was finally chosen.Results EWMA(λ=0.6,κ=1.0),C1(κ=0.1,H=3σ),C2(k=0.1,H=30),C3(κ=1.0,H=4σ)and space-time permutation scan statistic(maximum temporal cluster size=7 d,maximum spatial cluster size=5 km)appeared to be the optimal parameters among these models.Youden's index of EWMA was 90.8%and detection time being 0.121 d.Youden's index of C1 was 88.7%and detection time being 0.142 d.Youden's index of C2 was 92.9%and detection time being 0.121 d.Youden's index of C3 was 87.9%and detection time being 0.058 d.Youden's index of space-time permutation scan statistic was 94.3%and detection time being 0.176 d.Conelusion Among these five early warning detection models.space-time permutation scan statistic model had the highest efficacy.
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