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Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation
Agent-based models (ABMs) have become a common tool for estimating demand for hospital beds during the COVID-19 pandemic. A key parameter in these ABMs is the probability of hospitalization for agents with COVID-19. Many published COVID-19 ABMs use either single point or age-specific estimates of the probability of hospitalization for …