Yu, Lijing <br/><br/>
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] 

 -  PloS one  2014 
 - e98241 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1932-6203 
<br/><br/><label>Standard No.: </label>10.1371/journal.pone.0098241  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Child, Preschool<br/>China--epidemiology<br/>Demography<br/>Epidemics<br/>Female<br/>Forecasting<br/>Hand, Foot and Mouth Disease--epidemiology<br/>Humans<br/>Incidence<br/>Infant<br/>Infant, Newborn<br/>Male<br/>Models, Statistical<br/>Neural Networks, Computer<br/>Nonlinear Dynamics<br/>Regression Analysis<br/>Reproducibility of Results<br/>Seasons<br/>Time Factors