Several methods are employed to study temporal dynamics, including time-series analysis, surveillance data analysis, and mathematical modeling. Time-series analysis involves examining data points collected at successive times to identify trends and seasonal effects. Surveillance data provides real-time information on disease occurrence, while mathematical models simulate the spread and control of diseases over time.
