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.

Nuno Jardim Nunes Greta Adamo Miguel Ribeiro Bruna R Gouveia Élvio R Quintal Gouveia Pedro Teixeira Valentina Nisi

Published in: JMIR human factors (2022)

In terms of scientific impact, the results described here provide important insights and contributions not only for researchers but also for policy and decision makers by explaining the reasons behind the adoption and usage of apps designed for COVID-19.

Keyphrases

coronavirus disease
sars cov
electronic health record
public health
healthcare
respiratory syndrome coronavirus
mental health
big data
health information
global health
decision making
artificial intelligence