How are Monte Carlo Simulations Applied in Epidemiology?
Monte Carlo simulations are particularly useful in epidemiology for modeling the spread of infectious diseases. By simulating numerous scenarios, researchers can estimate the potential range of outcomes for key parameters such as the basic reproduction number (R0), the duration of infectious periods, and the effectiveness of public health interventions. These simulations can also account for the variability and uncertainty in epidemiological data, providing a more comprehensive understanding of possible future states.
