Week 1 ILI rate prediction for HHS regions 6–10 from influenza seasons 2004–2005 to 2012–2013.

Note: 1) Auto-regressive integrated moving average (ARIMA [p, d, q]) method, in which p represents the number of auto-regressive terms, d is the number of non-seasonal differences and q is the number of lagged forecast errors in the prediction equation; 2) 95% prediction intervals were calculated by bootstrapping the model error 5,000 times; and 3) the point estimate and prediction interval were bolded if the observed ILIs rate were not covered by the 95% prediction interval.
Week 1 ILI rate prediction for HHS regions 6–10 from influenza seasons 2004–2005 to 2012–2013.