Why is Seasonal Decomposition Important in Epidemiology?
Understanding the seasonal patterns of diseases can provide valuable insights for public health planning and intervention. For instance, certain infectious diseases like influenza and malaria exhibit clear seasonal trends. By decomposing the time series data, epidemiologists can identify these patterns and anticipate outbreaks, thereby improving disease surveillance and control strategies.