Temporal analysis involves examining the timing of health-related events to understand patterns and trends. Techniques such as time-series analysis and seasonal adjustment are used to analyze data over time. This analysis can reveal periodic fluctuations, identify long-term trends, and highlight unusual spikes in disease occurrence.
