Forecasting daily counts of patient presentations in Australian emergency departments using statistical models with time-varying predictors.

Calendar and temperature variables, not previously considered in the Australian literature, were found to significantly impact ED presentations. This study also demonstrates the potential of GAMs as a dual explanatory and forecasting method for the modelling, and more accurate prediction, of ED presentations.