摘要
目的探讨自回归移动平均模型(ARIMA)乘积季节模型在手足口病预测中的应用,对手足口病的月发病数进行趋势预测。方法收集南昌市2009年1月至2012年12月手足口病的月发病数资料建立ARIMA乘积季节模型,并对预测结果进行评价。结果在手足口病预测中建立ARIMA乘积季节模型的最优模型为ARIMA(0,1,1)×(1,1,0)12模型,正态化的BIC为(贝叶斯信息准测)12.31。结论建立的ARIMA模型能较好地拟合和预测南昌市手足口病的月发病数,为手足口病的防治提供参考依据。
Objective To understand the feasibility of using multiple seasonal autoregressive integrated moving average( ARIMA) model to predict the monthly incidence of hand foot and mouth disease( HFMD). Methods ARIMA model w as established by using surveillance data of HFM D in Nanchang from January 1 2009 to December 31 2012,and the prediction results w ere evaluated. Results M ultiple seasonal ARIM A( 0,1,1)( 1,1,0)12model w as established for the prediction of HFM D incidence,and the result of normal BIC w as 12. 31. Conclusion The multiple seasonal ARIM A model established had good fitting and prediction pow er fo the monthly incidence of HFM D in Nanchang,w hich can be used in the prevention and control of HFM D.
出处
《疾病监测》
CAS
2014年第11期871-874,共4页
Disease Surveillance
基金
南昌市科技局支撑计划项目(洪财企[2012]37号社会发展-14-1)~~
关键词
手足口病
ARIMA乘积季节模型
预测
Hand foot and mouth disease
M ultiple seasonal ARIM A model
Prediction