ArticleJournal of the American Medical Informatics Association : JAMIA2021
Individuals' privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective.
Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis.BMC medical informatics and decision making · 2023Pooled it
- Implementing Public Health Strategies-The Need for Educational Initiatives: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Digital Literacy and Interpersonal Trust as Predictors of Willingness to Share Patient-Generated Health Data Among Korean Internet Users: Cross-Sectional Study Using Privacy Calculus and Communication Privacy Management Theories.Journal of medical Internet research · 2026Article
- Privacy Relevance and Disclosure Intention in Mobile Apps: The Mediating and Moderating Roles of Privacy Calculus and Temporal Distance.Behavioral sciences (Basel, Switzerland) · 2025Article
- Investigating Citizens' Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy.JMIR mHealth and uHealth · 2024Article
- A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.Computers & security · 2023Article
- Trust and Health Information Exchanges: Qualitative Analysis of the Intent to Share Personal Health Information.Journal of medical Internet research · 2023Article
- The Impact of Individuals' Social Environments on Contact Tracing App Use: Survey Study.JMIR human factors · 2023Article
- Widening or narrowing inequalities? The equity implications of digital tools to support COVID-19 contact tracing: A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- Information Privacy Behaviors during the COVID-19 Pandemic: Focusing on the Restaurant Context.Information systems frontiers : a journal of research and innovation · 2022Article
- Explaining citizens' resistance to use digital contact tracing apps: A mixed-methods study.International journal of information management · 2022Article
- Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis.Frontiers in public health · 2022Article
- The impact of perceived crisis severity on intention to use voluntary proximity tracing applications.International journal of information management · 2021Article
- Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran.International journal of environmental research and public health · 2021Article
- What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention.Pervasive and mobile computing · 2021Article
- Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature.JMIR mHealth and uHealth · 2021Review
- Lessons Learned in Piloting a Digital Personalized COVID-19 "Radar" on a University Campus.Public health reports (Washington, D.C. : 1974)Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe study sought to develop and empirically validate an integrative situational privacy calculus model for explaining potential users' privacy concerns and intention to install a contact tracing mobile application (CTMA). MATERIALS AND
methodsA survey instrument was developed based on the extant literature in 2 research streams of technology adoption and privacy calculus. Survey participants (N = 853) were recruited from all 50 U.S. states. Partial least squares structural equation modeling was used to validate and test the model.
resultsIndividuals' intention to install a CTMA is influenced by their risk beliefs, perceived individual and societal benefits to public health, privacy concerns, privacy protection initiatives (legal and technical protection), and technology features (anonymity and use of less sensitive data). We found only indirect relationships between trust in public health authorities and intention to install CTMA. Sex, education, media exposure, and past invasion of privacy did not have a significant relationship either, but interestingly, older people were slightly more inclined than younger people to install a CTMA. DISCUSSION: Our survey results confirm the initial concerns about the potentially low adoption rates of CTMA. Our model provides public health agencies with a validated list of factors influencing individuals' privacy concerns and beliefs, enabling them to systematically take actions to address these identified issues, and increase CTMA adoption.
conclusionsDeveloping CTMAs and increasing their adoption is an ongoing challenge for public health systems and policymakers. This research provides an evidence-based and situation-specific model for a better understanding of this theoretically and pragmatically important phenomenon.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.