Epidemiological data often exhibit complex temporal patterns due to various factors such as seasonality, interventions, and random fluctuations. Traditional methods like Fourier transforms may fail to capture these intricate dynamics. The Morlet wavelet, however, allows for a multi-resolution analysis, making it ideal for identifying patterns at different scales and locations within the data.
