What are the Challenges in Applying Non-Linear Dynamics to Epidemiology?
While non-linear models offer valuable insights, they also pose several challenges: - Data Requirements: Accurate non-linear models require high-quality data, which may not always be available. - Computational Complexity: Non-linear models can be computationally intensive, requiring advanced algorithms and significant processing power. - Interpretability: The complexity of non-linear models can make them difficult to interpret, posing challenges for communication with policymakers and the public.
