Optimizing epidemiological models ensures that they can effectively simulate real-world scenarios. This accuracy is essential for public health policy decisions, resource allocation, and intervention strategies. A poorly optimized model can lead to incorrect predictions, which may result in ineffective or even harmful public health measures.
