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.
