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

被引：49

作者：

Li, Qi ^{[1
]}

Guo, Na-Na ^{[2
]}

Han, Zhan-Ying ^{[1
]}

Zhang, Yan-Bo ^{[1
]}

Qi, Shun-Xiang ^{[1
]}

Xu, Yong-Gang ^{[1
]}

Wei, Ya-Mei ^{[1
]}

Han, Xu ^{[1
]}

Liu, Ying-Ying ^{[1
]}

机构：

[1] Hebei Ctr Dis Control & Prevent, Shijiazhuang 050021, Peoples R China

[2] Handan Ctr Dis Control & Prevent, Handan, Handan County, Peoples R China

来源：

AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE | 2012年 / 87卷 / 02期

关键词：

D O I：

10.4269/ajtmh.2012.11-0472

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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.

引用

页码：364 / 370

页数：7

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