Model assumptions are the foundation upon which epidemiological models are built. Incorrect or unrealistic assumptions can lead to flawed predictions and policy recommendations. Understanding these assumptions helps in evaluating the strengths and limitations of a model, thereby guiding more informed decision-making.
