1. Variability in Outcomes: It helps in understanding the range of possible outcomes rather than a single predicted trajectory. This is particularly important for rare events like the introduction of a new pathogen into a population. 2. Small Population Dynamics: In small populations, random events can have a disproportionately large impact on disease dynamics, making deterministic models less reliable. 3. Extinction and Re-Emergence: Stochastic models can predict the probability of disease extinction or re-emergence, which is valuable for planning eradication and control strategies.
