Time-series models: These models predict future events based on past data. Compartmental models: Such as the SIR (Susceptible-Infectious-Recovered) model, which divides the population into compartments to understand disease dynamics. Machine learning models: These models use algorithms to identify patterns and make predictions. Bayesian models: These models incorporate prior knowledge and update predictions as new data becomes available.
