How is the Haar Wavelet Applied to Epidemiological Data?
Application of the Haar wavelet involves several steps:
Data Collection: Gather time-series data related to the epidemiological study. Preprocessing: Clean the data to handle missing values and smooth out noise. Wavelet Transformation: Apply the Haar wavelet transform to decompose the data into different frequency components. Analysis: Analyze the decomposed components to identify trends, seasonal effects, and anomalies. Interpretation: Use the insights gained from the analysis to inform public health decisions and interventions.
