Application of "time series analysis" in the prediction of schistosomiasis prevalence in areas of "breaking dikes or opening sluice for waterstore" in Dongting Lake areas, China.
- Author:
Xiao-yong SAI
1
;
Zhi-ying ZHANG
;
De-zhong XU
;
Yong-ping YAN
;
Liang-shou LI
;
Kai-ping CAI
;
Yue-sheng LI
;
Xiao-nong ZHOU
Author Information
- Publication Type:Journal Article
- MeSH: Animals; China; epidemiology; Epidemiologic Methods; Forecasting; Humans; Models, Statistical; Prevalence; Risk Assessment; Schistosomiasis japonica; epidemiology; Time Factors
- From: Chinese Journal of Epidemiology 2004;25(10):863-866
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo provide the fittest model for forecasting schistosomiasis prevalence in Haokou village of "breaking dikes or opening sluice for waterstore" in Dongting Lake areas by comparing the results of Moving Average, Exponential Smoothing, Autoregressive Model and Autoregressive integrated moving average model (ARIMA model) from 1990 to 2002.
METHODSError sum of square of four statistical methods was compared and the fittest model was chosen.
RESULTSError sum of square of predicted schistosomiasis prevalence rates in Haokou village from 1994 to 2002 were 39.40, 39.86, 26.63, 22.54 respectively.
CONCLUSIONARIMA model seemed to be the fittest one in the prediction of schistosomiasis prevalence in Haokou village of "breaking dikes or opening sluice for waterstore" in Dongting Lake from 1990 to 2002.
