Kim TH, et al. - Researchers developed and validated a forecasting model of respiratory infectious disease outbreaks based on a nationwide Emergency Department (ED) syndromic surveillance using daily number of Emergency Department visits with fever. The forecast model was developed according to the Autoregressive Integrated Moving Average (ARIMA) method using the National Emergency Department Information System (NEDIS) data from 2013 to 2014 and was validated using the data from 2015. observations suggested feasibility of this forecast model for early detection of ED respiratory infectious disease outbreak.