The main steps involved in spectral analysis include:
Data Collection: Gather time series data on disease incidence or prevalence. Preprocessing: Clean the data to remove any anomalies or missing values. Transformation: Apply mathematical techniques like the Fourier Transform to convert the data to the frequency domain. Analysis: Examine the frequency components to identify significant periodic patterns. Interpretation: Draw conclusions and make predictions based on the identified patterns.
