Why are Nonlinear Dynamics Important in Epidemiology?
Nonlinear dynamics are crucial in epidemiology because they help explain phenomena that linear models cannot, such as sudden outbreaks, threshold effects, and the impact of feedback loops. Traditional linear models may oversimplify the interactions within a population, leading to inaccurate predictions and ineffective interventions.
