Wavelet analysis is a mathematical technique used to break down complex signals into simpler components. In the context of epidemiology, it helps in understanding the temporal patterns and variations in disease incidence and other health-related data over time. Unlike traditional Fourier analysis, wavelet analysis can handle non-stationary data, making it particularly useful for epidemiological studies where data often exhibit time-varying characteristics.
