文章摘要
周鼎伦,杨维中,兰亚佳,李中杰.暴发规模和持续时间对CUSUM预警模型效能的影响[J].中华流行病学杂志,2012,33(6):617-621
暴发规模和持续时间对CUSUM预警模型效能的影响
Effect of magnitude and duration on the performance of Cumulative Sum
收稿日期:2011-11-15  出版日期:2014-09-09
DOI:
中文关键词: 暴发规模  暴发持续时间  累积和预警模型  预警效能  数据模拟技术
英文关键词: Outbreak magnitude  Outbreak duration  Cumulative Sum  Performance of alert  Simulation method
基金项目:"十一五"国家科技支撑计划(2006BAK01A13, 2008BA156B02);中国-世界卫生组织合作项目(WPCHN0801617, WPCHN1002405);国家科技重大专项(2009ZX10004-201)
作者单位E-mail
周鼎伦 四川大学华西公共卫生学院劳动卫生教研室, 成都 610041  
杨维中 中国疾病预防控制中心 yangwz@chinacdc.cn 
兰亚佳 四川大学华西公共卫生学院劳动卫生教研室, 成都 610041  
李中杰 中国疾病预防控制中心  
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中文摘要:
      采用数据模拟方法, 在一段服从Poisson分布的数据序列中插入11个不同暴发规模、不同持续时间的暴发事件, 研究暴发规模和持续时间对CUSUM(Cumulative Sum)预警模型效能的影响.结果发现, 在现有模拟条件下, 灵敏度为9.1%~100.0%, 特异度≥98.6%;灵敏度与暴发规模有明显的关系, 暴发强度越大, 灵敏度越高, 而暴发持续时间并不影响灵敏度;灵敏度达到100.0%, 暴发规模需≥2.6;暴发规模越大, 滞后时间越短;当暴发规模≥1.8时, 滞后时间控制在<1d.可见CUSUM预警模型的预警效能受暴发规模的影响, 与暴发持续时间关系不明显.该模型对规模≥2.4的暴发具有较好的探测能力.
英文摘要:
      To explore the effect of magnitude and duration on the performance of Cumulative Sum (CUSUM), with simulation method used on the subject after the insertion of 11 outbreak events into baseline data with Poisson distribution.Sensitivity fluctuated from 9.1% to 100.0% with specificities higher than 98.6%.Sensitivity was significantly correlated with magnitude, and increased along with the increase of magnitude.However, no significant correlation was observed between sensitivity and duration.A magnitude which was at least 2.6 times higher than that of the mean daily baseline could result in the sensitivity of 100.0%.Time-lag would be improved along with the increase of magnitude.Time between onset and detection of an outbreak was no longer than one day when magnitude was more than 1.8 of the mean daily baseline.In summary, the performance of CUSUM was influenced by magnitude, but not by duration.CUSUM had the advantage of good time-lag and high sensitivity when the outbreak magnitude was more than 2.4 time over the baseline data.
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