How is Seasonal Decomposition Applied in Epidemiology?
Seasonal decomposition is applied to epidemiological data to better understand and predict disease patterns. For instance, influenza cases often show a strong seasonal pattern, peaking during the winter months. By decomposing the time series data of influenza cases, public health officials can predict future outbreaks and implement timely interventions like vaccination drives.
