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应用ARIMA模型预测福建省戊型肝炎疫情
引用本文:谢忠杭,欧剑鸣,张莹珍,黄文龙,王灵岚. 应用ARIMA模型预测福建省戊型肝炎疫情[J]. 中国人兽共患病杂志, 2011, 0(11): 1047-1050
作者姓名:谢忠杭  欧剑鸣  张莹珍  黄文龙  王灵岚
作者单位:福建省疾病预防控制中心,福州i350001
摘    要:目的建立福建省戊型肝炎(戊肝)分月发病数预测预警的ARIMA时间序列模型。方法利用SAS 9.0软件的PROC ARIMA综合软件包对《疾病监测信息报告管理系统》收集的福建省2004-2010年戊肝分月发病数序列进行ARI-MA模型的建模与分析。结果福建省2004-2010年戊肝分月发病数序列含有以年为周期的季节效应,经12步差分后为平稳非白噪声序列,拟合的相对最优模型为ARIMA(0,0,0)×(0,1,1)12。结论拟合戊肝的相对最优ARIMA模型进行预测和预警,具有实际应用价值。

关 键 词:戊型肝炎  预测  时间序列  ARIMA模型  网络直报

Application on ARIMA model for epidemic forecasting of hepatitis E in Fujian Province
XIE Zhong-hang,OU Jian-ming,ZHANG Ying-zhen,HUANG Wen-long,WANG Ling-lan. Application on ARIMA model for epidemic forecasting of hepatitis E in Fujian Province[J]. Chinese Journal of Zoonoses, 2011, 0(11): 1047-1050
Authors:XIE Zhong-hang  OU Jian-ming  ZHANG Ying-zhen  HUANG Wen-long  WANG Ling-lan
Affiliation:(Fujian Center for Disease Control and Prevention,Fuzhou 350001,China)
Abstract:In order to construct the ARIMA model for forecasting and warning the monthly cases of hepatitis E in Fujian Province,the time series of monthly cases of hepatitis E from 2004 to 2010 in Fujian Province collected by Disease Information Reporting System were analyzed by the ARIMA of SAS 9.0.Rersult indicated the time series had an annual seasonal effect,and became stable.And non-white noise series after 12-lag differences was taken.The ARIMA(0,0,0)(0,1,1)12 model was the relative by optimum fitting model.Therefore,fitting a relatively optimum model for hepatitis E is practical for forecasting and warning.
Keywords:Hepatitis E  prediction  time series  ARIMA model  internet-based reporting
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