Model assessment is essential because it ensures that the epidemiological models are accurate, reliable, and applicable to real-world scenarios. Without proper assessment, models may provide misleading information, leading to ineffective or even harmful public health interventions. Assessment helps in identifying and correcting issues within the model, such as bias, overfitting, and underfitting.