Understanding non-linear dynamics is crucial for several reasons:
Accurate Forecasting: Non-linear models can provide more accurate disease forecasting by accounting for complex interactions. Intervention Strategies: They aid in designing effective intervention strategies by predicting outcomes of various scenarios. Resource Allocation: These models help in optimizing resource allocation during outbreaks by identifying critical points of intervention.
