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

Theme Issue (2020): Human Factors of the COVID-19 Outbreak (52) JMIR Theme Issue: COVID-19 Special Issue (2452) Ethics, Privacy, and Legal Issues (479) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infectious Diseases (non-STD/STI) (1575) Theories, Models, and Frameworks in Human Factors (72)

Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35434, first published .
Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology

Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology

Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology

Authors of this article:

Nuno Nunes1, 2 Author Orcid Image ;   Greta Adamo1 Author Orcid Image ;   Miguel Ribeiro1, 2 Author Orcid Image ;   Bruna R Gouveia2, 3, 4 Author Orcid Image ;   Elvio Rubio Gouveia1, 5 Author Orcid Image ;   Pedro Teixeira6 Author Orcid Image ;   Valentina Nisi1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.