Epidemiologists often deal with data that exhibit seasonal patterns, such as the incidence of influenza, or other seasonal diseases. Understanding and predicting these patterns is crucial for public health planning, resource allocation, and intervention strategies. SARIMA models provide a robust framework for making accurate and reliable forecasts, enabling better decision-making.
