Predictive models in epidemiology are mathematical or statistical frameworks used to forecast the future occurrence of diseases based on current and past data. These models incorporate various factors such as infection rate, population density, and vaccination coverage to predict disease trends. Common models include the Susceptible-Infectious-Recovered (SIR) model and the Compartmental model.
