One of the main challenges is the estimation of epsilon. Since it's often a small value, it can be difficult to measure accurately. Errors in estimating epsilon can lead to significant deviations in model predictions. Additionally, epsilon can vary based on contextual factors such as population density, healthcare infrastructure, and social behavior, making it a complex parameter to standardize.