claim: development and validation of a social learning model for predicting illness trajectory and hospital resource utilization of covid-19 hospitalized patients
evidence_1: we further present the impact of several scenarios of patient influx on healthcare system utilization, and provide an r software package for predicting hospital-bed utilization.", "interpretation: we developed a model that, given basic easily obtained data as input, accurately predicts total and critical care hospital utilization.", "the model predicts the patient's entire disease course in terms of clinical states, from which we derive the patient's hospital length-of-stay, length-of-stay in critical state, the risk of in-hospital mortality, and total and critical care hospital-bed utilization.", 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  "the model enables evaluating the impact of various patient influx scenarios on hospital utilization and planning ahead of hospital resource allocation.", "there is a need for a model to help planners assess expected covid-19 hospital resource utilization.")