Exponential smoothing is a time series forecasting method that applies weighted averages of past observations to predict future values. This technique assigns exponentially decreasing weights as the observations get older, making recent data more influential in the forecast. It's particularly useful in epidemiology for predicting the spread of diseases, estimating case counts, and monitoring trends.
