Temporal analysis involves several statistical and analytical techniques. Time-series analysis is commonly used to examine data points collected at successive points in time. Techniques like autocorrelation and spectral analysis help in identifying recurring patterns and trends. Survival analysis is used to estimate the time until an event occurs, such as the onset of symptoms or recovery. Additionally, mathematical modeling can predict the future course of an epidemic based on current data.
