Wavelet transformation is a mathematical technique used to transform data from the time domain to the time-frequency domain. It is particularly useful for analyzing non-stationary signals, where the underlying statistical properties change over time. In the context of Epidemiology, wavelet transformation helps to identify patterns, trends, and periodicities in time-series data, such as disease incidence rates or environmental factors.
