How Do Simplistic Assumptions Affect Epidemiological Models?
Simplistic assumptions can lead to inaccurate models that fail to predict outbreaks or the impact of interventions. For example, a model assuming homogeneous mixing may underestimate the spread of a disease in densely populated areas while overestimating it in sparsely populated ones.
