Several predictive models are commonly used in epidemiology:
SIR Model: Susceptible-Infectious-Recovered model, used for infectious diseases. Regression Models: Used to understand relationships between different variables and disease outcomes. Time-Series Analysis: Analyzes data points collected or recorded at specific time intervals to forecast future trends. Machine Learning: Advanced algorithms that can handle large datasets and identify complex patterns.
