What Types of Data Are Needed for Monte Carlo Simulations?
Monte Carlo simulations rely on a variety of data inputs, including:
Epidemiological Parameters: Such as infection rates, recovery rates, and mortality rates. Population Data: Including demographic information, population density, and social behavior patterns. Intervention Efficacy Data: Information on the effectiveness of different public health measures like vaccination, quarantine, and social distancing. Historical Data: Past outbreak data to inform the simulation and validate model accuracy.
