 The study proposes a novel application of Bayes' theorem that incorporates comorbidities and testing status in agent-based models, ABMs, for estimating demand for hospital beds during the COVID-19 pandemic, improving their interpretability and accuracy. This article was authored by Emily Hadley, Sarah Rhea, Casey Jones, and others.