Application of Seasonal Auto-regressive Integrated Moving Av

发布时间：2021-08-10 17:14

　　Outbreaks of hand-foot-mouth disease（HFMD） have occurred many times and caused serious health burden in China since 2008. Application of modern information technology to prediction and early response can be helpful for efficient HFMD prevention and control. A seasonal auto-regressive integrated moving average（ARIMA） model for time series analysis was designed in this study. Eighty-four-month（from January 2009 to December 2015） retrospective data obtained from the Chinese Information System for D... 

【文章来源】：Journal of Huazhong University of Science and Technology（Medical Sciences）. 2017,37(06)SCI

【文章页数】：7 页

【文章目录】：
1 MATERIALS AND METHODS
    1.1 Setting
    1.2 Data Resource
    1.3 Modeling Approach
    1.4 Ethical Statement
2 RESULTS
    2.1 Surveillance Data
    2.2 Model Identification
    2.3 Model Estimation and Diagnosis
    2.4 Forecasting
3 DISCUSSION
Conflict of Interest Statement


【参考文献】：
期刊论文
[1]武汉市2008-2011年手足口病流行特征分析[J]. 杨小兵,孔德广,余滨.  中国预防医学杂志. 2013(03)
[2]An autoregressive integrated moving average model for short-term prediction of hepatitis C virus seropositivity among male volunteer blood donors in Karachi,Pakistan[J]. Saeed Akhtar,Shafquat Rozi.  World Journal of Gastroenterology. 2009(13)



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