What are the Limitations of Monte Carlo Simulations in Epidemiology?
Despite their advantages, Monte Carlo simulations have some limitations:
They require high-quality input data, which may not always be available. They can be computationally intensive, requiring significant processing power and time. The accuracy of the results depends on the assumptions made in the model, which may not always reflect real-world complexities.
