Time series analysis is crucial in epidemiology for several reasons:
Trend Analysis: Identifying long-term increases or decreases in disease incidence. Seasonality: Understanding how certain diseases may peak at certain times of the year. Outbreak Detection: Quickly identifying unusual spikes in disease occurrence, which could indicate an outbreak. Impact Assessment: Evaluating the impact of public health interventions over time.