Identifying psychological predictors of SARS-CoV-2 vaccination: A machine learning study.

Journal: Vaccine
PMID: 39106578

Abstract

BACKGROUND: Major barriers to addressing SARS-CoV-2 vaccine hesitancy include limited knowledge of what causes delay/refusal of SARS-CoV-2 vaccination and limited ability to predict who will remain unvaccinated over significant time periods despite vaccine availability. The present study begins to address these barriers by developing a machine learning model that prospectively predicts who will persist in not vaccinating against SARS-CoV-2.

Authors

  • Michael V Bronstein
    Department of Psychiatry and Behavioral Sciences, University of Minnesota, MN, USA; Institute for Health Informatics, University of Minnesota, MN, USA. Electronic address: brons139@umn.edu.
  • Erich Kummerfeld
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55454.
  • Angus MacDonald
    Department of Psychology, University of Minnesota, MN, USA.
  • Sophia Vinogradov
    Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.

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