There are several approaches to incorporate stochasticity into epidemiological models:
1. Discrete Event Simulation: This involves simulating individual events (like infection or recovery) as random processes. 2. Stochastic Differential Equations: These equations add random noise to deterministic models, providing a continuous framework for incorporating randomness. 3. Agent-Based Models: These models simulate the actions and interactions of individual agents (such as people or pathogens), allowing for highly detailed stochastic simulations.
