Application of an Autoregressive Integrated Moving Average Model for Predicting the Incidence of Hemorrhagic Fever with Renal Syndrome

作者：Li Qi^*; Guo Na Na; Han Zhan Ying; Zhang Yan Bo; Qi Shun Xiang; Xu Yong Gang; Wei Ya Mei; Han Xu; Liu Ying Ying

来源：The American Journal of Tropical Medicine and Hygiene, 2012, 87(2): 364-370.

DOI：10.4269/ajtmh.2012.11-0472

The Box-Jenkins approach was used to fit an autoregressive integrated moving average (ARIMA) model to the incidence of hemorrhagic fever with renal Syndrome (HFRS) in China during 1986-2009. The ARIMA (0, 1, 1) x (2, 1, 0)(12) models fitted exactly with the number of cases during January 1986-December 2009. The fitted model was then used to predict HFRS incidence during 2010, and the number of cases during January-December 2010 fell within the model's confidence interval for the predicted number of cases in 2010. This finding suggests that the ARIMA model fits the fluctuations in HFRS frequency and it can be used for future forecasting when applied to HFRS prevention and control.

• 出版日期2012-8