Abstract
At the peak of the initial COVID-19 outbreak in Italy, providers were required to make decisions related to resource rationing due to a shortage of medical equipment. Identifying COVID-19 positive patients who were high-risk for severe illness early in their course could have assisted in determining the most appropriate medical management in many cases. Currently, few models exist to predict the outcome of COVID-19 positive patients. Among those that do, none to our knowledge utilize Bayesian logistic regression.
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