In epidemiology, accurate modeling is crucial for predicting the spread of diseases, understanding risk factors, and implementing effective public health interventions. MSE is important because it provides a straightforward way to assess the accuracy of these models. By minimizing the MSE, researchers can improve their predictive models, leading to better-informed decisions in public health policy and resource allocation.
