Dynamic systems are crucial in epidemiology for several reasons. First, they allow for the simulation of disease outbreaks under different scenarios, which can help in assessing the impact of interventions such as vaccination, quarantine, and social distancing. Second, they provide a framework to study the effects of heterogeneities in population structure, such as age, immunity, and contact patterns. Lastly, dynamic systems help in predicting the course of an epidemic, which is essential for resource allocation and emergency preparedness.
