Fitness models provide accurate short-term forecasts of SARS-CoV-2 variant frequency

• Eslam Abousamra ,

  Contributed equally to this work with: Eslam Abousamra, Marlin Figgins

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

  * E-mail: eabousam@uw.edu

  Affiliations Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America

  https://orcid.org/0009-0007-2041-9107

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• Marlin Figgins ,

  Contributed equally to this work with: Eslam Abousamra, Marlin Figgins

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

  Affiliations Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America, Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America

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• Trevor Bedford

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

  Affiliations Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America, Howard Hughes Medical Institute, Seattle, Washington, United States of America

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