The utility of a Bayesian predictive model to forecast neuroinvasive West Nile virus disease in the United States of America, 2022

• Maggie S. J. McCarter,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, United States of America

  https://orcid.org/0000-0002-5169-9363

  ⨯
• Stella Self,

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  Affiliation Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, United States of America

  ⨯
• Kyndall C. Dye-Braumuller,

  Roles Writing – review & editing

  Affiliation Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, United States of America

  ⨯
• Christopher Lee,

  Roles Data curation

  Affiliation Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, United States of America

  ⨯
• Huixuan Li,

  Roles Visualization

  Affiliation Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, United States of America

  ⨯
• Melissa S. Nolan

  Roles Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

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

  Affiliation Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, United States of America

  https://orcid.org/0000-0001-8579-5372

  ⨯