Time series models are utilized for several reasons: 1. Trend Analysis: To identify long-term trends in disease incidence or prevalence. 2. Seasonality Detection: To uncover seasonal patterns that may affect disease spread. 3. Forecasting: To predict future disease cases or outbreaks. 4. Intervention Assessment: To evaluate the impact of public health interventions over time.
