A Bayesian susceptible-infectious-hospitalized-ventilated-recovered model to predict demand for COVID-19 inpatient care in a large healthcare system

• Stella Coker Watson Self ,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: scwatson@mailbox.sc.edu

  Affiliation Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America

  https://orcid.org/0000-0002-5956-5220

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• Rongjie Huang,

  Roles Data curation, Formal analysis, Visualization, Writing – review & editing

  Affiliation Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America

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• Shrujan Amin,

  Roles Conceptualization, Data curation, Resources, Writing – review & editing

  Affiliation Care Coordination Institute, Prisma Health, Greenville, South Carolina, United States of America

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• Joseph Ewing,

  Roles Conceptualization, Data curation, Funding acquisition, Resources, Writing – review & editing

  Affiliation Care Coordination Institute, Prisma Health, Greenville, South Carolina, United States of America

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• Caroline Rudisill,

  Roles Conceptualization, Data curation, Funding acquisition, Methodology, Writing – review & editing

  Affiliation Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America

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• Alexander C. McLain

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Writing – review & editing

  Affiliation Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America

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