What are the Key Components of Monte Carlo Simulations in Epidemiology?

The primary components of Monte Carlo simulations in epidemiology include:

Random Sampling: Randomly generating values for uncertain parameters based on their probability distributions.
Modeling: Creating mathematical models to simulate the transmission dynamics of a disease.
Iterations: Running the model numerous times to capture a wide range of possible outcomes.
Outcome Analysis: Analyzing the results to derive probabilistic estimates and to understand the impact of different interventions.