Accuracy: It improves the precision of predictions, reducing errors and increasing the reliability of the model. Adaptability: It allows models to adapt to new data, reflecting current trends and patterns in disease spread. Decision-making: Accurate models inform better public health decisions and policy-making, leading to more effective interventions.
