Study on the ARIMA model application to predict echinococcosis cases in China
10.16250/j.32.1374.2017173
- VernacularTitle:我国包虫病报告病例数自回归移动平均模型预测研究
- Author:
En-Li TAN
1
;
Zheng-Feng WANG
;
Wen-Ce ZHOU
;
Shi-Zhu LI
;
Yan LU
;
Lin AI
;
Yu-Chun CAI
;
Xue-Jiao TENG
;
Shun-Xian ZHANG
;
Zhi-Sheng DANG
;
Chun-Li YANG
;
Jia-Xu CHEN
;
Wei HU
;
Xiao-Nong ZHOU
;
Li-Guang TIAN
Author Information
1. 兰州大学第一医院老年呼吸科 兰州730000
- Keywords:
Echinococcosis;
Monthly reported cases;
Autoregressive integrated moving average(ARIMA)model;
Modeling
- From:
Chinese Journal of Schistosomiasis Control
2018;30(1):47-53
- CountryChina
- Language:Chinese
-
Abstract:
Objective To predict the monthly reported echinococcosis cases in China with the autoregressive integrated mov-ing average(ARIMA)model,so as to provide a reference for prevention and control of echinococcosis. Methods SPSS 24.0 software was used to construct the ARIMA models based on the monthly reported echinococcosis cases of time series from 2007 to 2015 and 2007 to 2014,respectively,and the accuracies of the two ARIMA models were compared. Results The model based on the data of the monthly reported cases of echinococcosis in China from 2007 to 2015 was ARIMA(1,0,0)(1,1, 0)12,the relative error among reported cases and predicted cases was-13.97%,AR(1)=0.367(t=3.816,P<0.001),SAR (1)=-0.328(t=-3.361,P=0.001),and Ljung-Box Q=14.119(df=16,P=0.590).The model based on the data of the monthly reported cases of echinococcosis in China from 2007 to 2014 was ARIMA(1,0,0)(1,0,1)12,the relative error among reported cases and predicted cases was 0.56%,AR(1)=0.413(t=4.244,P<0.001),SAR(1)=0.809(t=9.584, P<0.001),SMA(1)=0.356(t=2.278,P=0.025),and Ljung-Box Q=18.924(df=15,P=0.217).Conclusions The different time series may have different ARIMA models as for the same infectious diseases.It is needed to be further verified that the more data are accumulated,the shorter time of predication is,and the smaller the average of the relative error is.The estab-lishment and prediction of an ARIMA model is a dynamic process that needs to be adjusted and optimized continuously accord-ing to the accumulated data,meantime,we should give full consideration to the intensity of the work related to infectious diseas-es reported(such as disease census and special investigation).
