Detecting cyclic patterns involves the use of statistical and epidemiological tools such as:
Time-Series Analysis: Helps in identifying trends and cyclic patterns over time. Surveillance Data: Continuous monitoring of disease data can reveal cyclic trends. Mathematical Modeling: Models can predict future cycles based on historical data and variables.
