Understanding temporal variability is essential for several reasons: 1. Seasonal Trends: Many diseases exhibit seasonal patterns. For instance, influenza cases typically rise during the winter months. 2. Epidemic Waves: Tracking temporal variability can reveal epidemic waves and help predict future outbreaks. 3. Long-term Trends: Analyzing long-term data can uncover trends in disease incidence and prevalence, which are vital for planning and resource allocation.
