There are several types of simplified models commonly used in epidemiology:
1. Compartmental Models: These models divide the population into compartments based on disease status, such as susceptible, infected, and recovered. The SIR model is a classic example of this type. 2. Agent-Based Models: These models simulate the actions and interactions of individual agents, which can represent people, animals, or even cells. They allow for more detailed representations of heterogeneity and individual behavior. 3. Deterministic Models: These use fixed parameters and initial conditions to predict the course of an epidemic, often through differential equations. 4. Stochastic Models: These incorporate random variability to account for the unpredictable nature of disease transmission, making them more realistic but also more complex.
