Cyclic components can be identified through various data analysis methods:
Time Series Analysis: Statistical methods like autocorrelation and spectral analysis can reveal cycles in the data. Surveillance Data: Long-term surveillance data can help identify recurring patterns. Mathematical Modeling: Models can predict cycles based on known factors influencing disease transmission.
