There are several types of disease models used in simulations:
1. Compartmental Models: These models divide the population into compartments based on disease status (e.g., susceptible, infectious, recovered). Examples include the SIR and SEIR models. 2. Agent-Based Models: These models simulate the interactions of individual agents (people) within a population. Each agent follows specific rules, allowing for more detailed and realistic simulations. 3. Stochastic Models: These models incorporate randomness, making them suitable for simulating diseases with unpredictable patterns. 4. Deterministic Models: These models use fixed parameters and equations, providing a more straightforward but less flexible approach.
