This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2388) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Outbreak and Pandemic Preparedness and Management (1673) Adoption and Change Management of eHealth Systems (670) Infectious Diseases (non-STD/STI) (1478) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25447, first published .
Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study

Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study

Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study

Authors of this article:

Samuel Tomczyk1 Author Orcid Image ;   Simon Barth1 Author Orcid Image ;   Silke Schmidt1 Author Orcid Image ;   Holger Muehlan1 Author Orcid Image
Article Authors Cited by (40) Tweetations (3) Metrics

Samuel Tomczyk   1 , DrPhil ;   Simon Barth   1 ;   Silke Schmidt   1 , DrPhil ;   Holger Muehlan   1 , DrPhil

1 Department Health and Prevention, Institute of Psychology, University of Greifswald, Greifswald, Germany

Corresponding Author: