COVID-19: Short term prediction model using daily incidence data

• Hongwei Zhao ,

  Roles Conceptualization, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

  * E-mail: hongweizhao@tamu.edu

  Affiliation School of Public Health, Texas A&M University, College Station, TX, United Stated of America

  https://orcid.org/0000-0001-8604-8694

  ⨯
• Naveed N. Merchant,

  Roles Formal analysis, Methodology, Software, Writing – original draft

  Affiliation Department of Statistics, Texas A&M University, College Station, TX, United Stated of America

  ⨯
• Alyssa McNulty,

  Roles Investigation, Writing – review & editing

  Affiliation School of Public Health, Texas A&M University, College Station, TX, United Stated of America

  https://orcid.org/0000-0002-4281-8236

  ⨯
• Tiffany A. Radcliff,

  Roles Conceptualization, Writing – review & editing

  Affiliation School of Public Health, Texas A&M University, College Station, TX, United Stated of America

  ⨯
• Murray J. Cote,

  Roles Conceptualization, Visualization, Writing – review & editing

  Affiliation School of Public Health, Texas A&M University, College Station, TX, United Stated of America

  ⨯
• Rebecca S. B. Fischer,

  Roles Conceptualization, Writing – review & editing

  Affiliation School of Public Health, Texas A&M University, College Station, TX, United Stated of America

  ⨯
• Huiyan Sang,

  Roles Software, Writing – review & editing

  Affiliation Department of Statistics, Texas A&M University, College Station, TX, United Stated of America

  ⨯
• Marcia G. Ory

  Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

  Affiliation School of Public Health, Texas A&M University, College Station, TX, United Stated of America

  https://orcid.org/0000-0001-8036-2383

  ⨯