Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47979, first published .
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study

Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study

Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study

Nicole L Vike   1 , PhD ;   Sumra Bari   1 , PhD ;   Leandros Stefanopoulos   2, 3 * , MSc ;   Shamal Lalvani   2 * , MSc ;   Byoung Woo Kim   1 * , MSc ;   Nicos Maglaveras   3 , PhD ;   Martin Block   4 , PhD ;   Hans C Breiter   1, 5 , MD ;   Aggelos K Katsaggelos   2, 6, 7 , PhD

1 Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States

2 Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States

3 School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece

4 Integrated Marketing Communications, Medill School, Northwestern University, Evanston, IL, United States

5 Department of Psychiatry, Massachusetts General Hospital, Harvard School of Medicine, Boston, MA, United States

6 Department of Computer Science, Northwestern University, Evanston, IL, United States

7 Department of Radiology, Northwestern University, Evanston, IL, United States

*these authors contributed equally

Corresponding Author:

  • Hans C Breiter, MD
  • Department of Computer Science
  • University of Cincinnati
  • 2901 Woodside Drive
  • Cincinnati, OH, 45219
  • United States
  • Phone: 1 617 413 0953
  • Email: breitehs@ucmail.uc.edu