Forecasting hepatitis epidemic situation by applying the time series model. (1st January 2012)

• Record Type: Journal Article
• Authors: Chen, Yinping; Wu, Aiping; Fan, Hongmin; Wang, Cuiling
• Is Part Of: International journal of simulation and process modelling. Volume 7:Number 1/2(2012)
• Page Start: 42
• Page End: 49
• Publication Date: 2012-01-01
• Subjects: ARIMA model -- time series -- forecast -- hepatitis; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

Abstract

The autoregressive integrated moving average (ARIMA) model is one of the stochastic time series methods to predict the hepatitis incidence. Considering the Box-Jenkins modelling approach, the incidence of hepatitis was collected monthly from 2004 to 2010 in Qian'an and a model (SARIMA) was fit. Then, this model was used for calculating hepatitis incidence for the last six observations compared with observed data. The constructed model was performed to predict the monthly incidence in 2011. The model SARIMA(0, 1, 1)(0, 1, 1)12 was established finally and the residual sequence was a white noise sequence. It is necessary and practical to apply the approach of ARIMA model in fitting time series to predict hepatitis within a short lead time.