Application of a new hybrid model with seasonal auto-regressive integrated moving average (ARIMA) and nonlinear auto-regressive neural network (NARNN) in forecasting incidence cases of HFMD in Shenzhen, China. [electronic resource]
Producer: 20150120Description: e98241 p. digitalISSN:- 1932-6203
- Child, Preschool
- China -- epidemiology
- Demography
- Epidemics
- Female
- Forecasting
- Hand, Foot and Mouth Disease -- epidemiology
- Humans
- Incidence
- Infant
- Infant, Newborn
- Male
- Models, Statistical
- Neural Networks, Computer
- Nonlinear Dynamics
- Regression Analysis
- Reproducibility of Results
- Seasons
- Time Factors
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Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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