Why is the Haar Wavelet Important in Epidemiology?
In the field of epidemiology, the Haar wavelet is particularly useful for analyzing time-series data, such as infection rates, mortality rates, and other public health metrics. The ability to decompose a signal into different frequency components allows epidemiologists to identify trends, seasonal patterns, and anomalies in the data. This can be crucial for understanding the dynamics of disease spread and for designing effective intervention strategies.
