Monte Carlo simulations are computational algorithms that use repeated random sampling to obtain numerical results. These simulations are used to model the probability of different outcomes in processes that are inherently uncertain. In the context of epidemiology, Monte Carlo simulations help in understanding the dynamics of disease spread, predicting future outbreaks, and evaluating the impact of different intervention strategies.
