Abstract
曾光,胡真,杨天英,李林村,来秀君,吴贵坤,陈长志,魏建军,朱伯健,王福泉,阎亚林,李金城,Stephen B. Thacker,吴泰顺,徐昌,徐涛,柔克明,朱宝兰,李瑞兰,徐长松,王全庆,杜世君,张清彦,郭爱芝,刘福贵,王相义,轩勤生,李培珍,赵文立,刘红敏,俞文祥,刘建民,任守礼,郑善平,温宏伟.Bayes概率预测法在控制八十年代流行性脑脊髓膜炎流行高峰中的应用[J].Chinese journal of Epidemiology,1990,11(4):193-197
Bayes概率预测法在控制八十年代流行性脑脊髓膜炎流行高峰中的应用
The Use of Bayesr Theorem in Controlling the Coming Epidemic Peak of Epidemic Meningitis in the 1980s
Received:September 10, 1989  Revised:October 08, 1989
DOI:
KeyWord: 流行性脑脊髄膜炎  预测  数学模型  贝叶斯定理
English Key Word: Epidemic cerebrospinal meningitis (ECM)  Forecasting  Mathematical model  Bayes' theorem
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Author NameAffiliation
Zeng Guang Institute of Epidemiology and Microbiology, Chinese Academy of Preventive Medicine, Beijing 
胡真 Institute of Epidemiology and Microbiology, Chinese Academy of Preventive Medicine, Beijing 
杨天英 河南省卫生防疫站 
李林村 河南省卫生防疫站 
来秀君 河南省许昌市卫生防疫站 
吴贵坤 河南省许昌市卫生防疫站 
陈长志 河南省唐河县卫生防疫站 
魏建军 河南省郑州市卫生防疫站 
朱伯健 河南省许昌市卫生防疫站 
王福泉 江苏省盐城市卫生防疫站 
阎亚林 河南省许昌市卫生防疫站 
李金城 河南省许昌市卫生防疫站 
Stephen B. Thacker 美国疾病控制中心 
吴泰顺 Institute of Epidemiology and Microbiology, Chinese Academy of Preventive Medicine, Beijing 
徐昌 Institute of Epidemiology and Microbiology, Chinese Academy of Preventive Medicine, Beijing 
徐涛 Institute of Epidemiology and Microbiology, Chinese Academy of Preventive Medicine, Beijing 
柔克明 Institute of Epidemiology and Microbiology, Chinese Academy of Preventive Medicine, Beijing 
朱宝兰 河南省卫生防疫站 
李瑞兰 河南省卫生防疫站 
徐长松 河南省卫生防疫站 
王全庆 河南省唐河县卫生防疫站 
杜世君 河南省唐河县卫生防疫站 
张清彦 河南省唐河县卫生防疫站 
郭爱芝 河南省郑州市卫生防疫站 
刘福贵 河南省郑州市卫生防疫站 
王相义 河南省郑州市卫生防疫站 
轩勤生 河南省商丘地区卫生防疫坫 
李培珍 河南省商丘地区卫生防疫坫 
赵文立 河南省商丘地区卫生防疫坫 
刘红敏 河南省商丘地区卫生防疫坫 
俞文祥 江苏省盐城市卫生防疫站 
刘建民 河南省许昌市卫生防疫站 
任守礼 河南省许昌市卫生防疫站 
郑善平 河南省许昌市卫生防疫站 
温宏伟 河南省许昌市卫生防疫站 
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Abstract:
      在八十年代流行性脑脊髓膜炎(简称流脑)流行高峰到来之前,本协作组应用Bayes概率法或原理相似的优度法在北京、河南、江苏等地以不同行政区划的方式开展了流脑流行早期数理预测的研究。结果表明本研究可在流脑流行髙峰的半年之前提出预测值,并将预测结果用于指导菌苗分配。经多年观察,预测区的流脑发病率下降幅度明显大于非预测区。
English Abstract:
      To control the coming epidemic peak of epidemic cerebrospinal meningitis (ECM) in the 1980s in the regions with 100 million population in China, the mathematical models based upon Bayes'. theorem (BT) were established and used respectively in provincial; regional and county's level. Reports of ECM from each ten-day's period or each month during the meningitis season were analysed to create forecast models. Records of ECM vaccinating rate in previous years were fully taken into accout to modify the theoritical values. Calibration, split-sample,random-sample selection, as well as actual forecast tests, were used to check the efficiency of the models, The distribution of meningitis vaccine was planned according to the final predictive results. The incidence rates of ECM of above regions decreased obuiously faster than other areas;n China. Attributing the application of BT forecast research, it was estimated only in Henan province 79795 ECM cases; 4388 deaths and 21 million Yuan economic damage were avoided during the 4 years period, from 1985 to 1988.
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