Parameter sensitivity is vital for several reasons:
Model Validation: It helps in validating the model by comparing the sensitivity results with real-world data. Resource Allocation: Identifying sensitive parameters can aid in efficient resource allocation for disease control measures. Policy Making: It informs policymakers about which factors to target for effective intervention strategies.
