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... 

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

【文章頁數(shù)】：7 頁

【文章目錄】：
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


【參考文獻(xiàn)】：
期刊論文
[1]武漢市2008-2011年手足口病流行特征分析[J]. 楊小兵,孔德廣,余濱.  中國預(yù)防醫(yī)學(xué)雜志. 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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