Why are Wavelet Transforms Important in Epidemiology?
In epidemiology, time-series data often exhibit complex, non-stationary patterns due to varying infection rates, seasonal effects, and intervention measures. Wavelet transforms provide a robust way to decompose and analyze these signals, helping researchers understand underlying trends and periodicities.
