Trend and seasonality of HFMD epidemic The monthly numbers of reported cases of HFMD were graphically shown in Figure 1 with an increasing trend, a clear yearly periodicity and significant fluctuations in its yearly mean.
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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.
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