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

Samuel TomczykSimon BarthSilke SchmidtHolger Muehlan
Published in: Journal of medical Internet research (2021)
This study identified several theory-based predictors of contact tracing app use. However, few constructs, such as social norms, have a consistent positive effect across models and outcomes. Further research is required to replicate these observations, and to examine the interconnectedness of these constructs and their impact throughout the pandemic. Nevertheless, the findings suggest that promulgating affirmative social norms and positive emotional effects of app use, as well as addressing health concerns, might be promising strategies to foster adoption intentions and app use in the general population.
Keyphrases
  • healthcare
  • mental health
  • coronavirus disease
  • sars cov
  • public health
  • electronic health record
  • adipose tissue
  • metabolic syndrome
  • skeletal muscle