Abstract
刘巧兰,李晓松,冯子健,马家奇.Knox方法在传染病时空聚集性探测中的应用[J].Chinese journal of Epidemiology,2007,28(8):802-805
Knox方法在传染病时空聚集性探测中的应用
Study on the application of Knox method to temporal-spatial cluster for infectious diseases
Received:March 19, 2007  Revised:August 10, 2007
DOI:
KeyWord: 流行性脑脊髓膜炎  Knox方法  时空聚集性
English Key Word: Epidemic cerebrospinal meningitis  Knox method  Temporal-spatial cluster
FundProject:国家自然科学基金资助项目(30571618);WHO基金资助项目(P/2004/CHN/CSE/1.1/001,activity code:03.01.04 AW.01-02)
Author NameAffiliation
LIU Qiao-lan Department of Health Statistics, School of Public Health, Sichuan University, Chengdu 610041, China 
LI Xiao-song Department of Health Statistics, School of Public Health, Sichuan University, Chengdu 610041, China 
FENG Zi-jian 中国疾病预防控制中心疾病控制与应急处理办公室 
MA Jia-qi  
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Abstract:
      目的 探讨Knox方法在传染病时空聚集性探测中的应用.方法 介绍Knox方法的原理,以2005年4-5 月北京市流行性脑脊髓膜炎(流脑)病例为例,介绍其统计分析过程并解释结果.结果 在选定时间临界值13 d和空间临界值29.67 km时,流脑可能存在时空聚集性.选取其他时间和空间临界值,均无时空聚集性.结论 在根据传染病的特点并选择合适的时间与空间临界值的条件下,Knox方法能够较好地探测传染病的时空聚集性,对原因不明的疾病可以根据不同的临界时间和临界空间"诊断"其是否有传染性,因此对传染病早期预警有一定作用.
English Abstract:
      Objective Application of Knox method was discussed in exploring temporal-spatial cluster for infectious diseases.Methods The theory of Knox method was introduced in detail.As an example,the temporal-spatial cluster of epidemic cerebrospinal meningitis cases from April to May in 2005 was explored in Beijing and the statistical process of Knox method was clearly demonstrated with related results well interpreted.Results Only when time and distance threshold values were set as 13 days and 29.67 km,potential temporal-spatial cluster could be detected in epidemic cerebrospinal meningitis cases. Conclusion According to the characteristics of the epidemics,under Knox method,if appropriate threshold values of time and distance were chosen,information on temporal-spatial cluster of infectious diseases could be obtained.According to the records of different time and distance threshold values,the nature of an infectious disease might be explored.Thus Knox method could help us to strengthen the early warning system on infectious disease control strategy.
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