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

Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) JMIR Theme Issue: COVID-19 Special Issue (2388) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Hygiene and Infection Prevention (297) Infectious Diseases (non-STD/STI) (1478) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19857, first published .
Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study

Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study

Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study

Authors of this article:

Samuel Altmann1 Author Orcid Image ;   Luke Milsom1 Author Orcid Image ;   Hannah Zillessen1 Author Orcid Image ;   Raffaele Blasone1 Author Orcid Image ;   Frederic Gerdon2 Author Orcid Image ;   Ruben Bach2 Author Orcid Image ;   Frauke Kreuter2, 3, 4 Author Orcid Image ;   Daniele Nosenzo5, 6 Author Orcid Image ;   Séverine Toussaert1 Author Orcid Image ;   Johannes Abeler1 Author Orcid Image
Article Authors Cited by (250) Tweetations (12) Metrics

Journals

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  119. Dowthwaite L, Fischer J, Perez Vallejos E, Portillo V, Nichele E, Goulden M, McAuley D. Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study. Journal of Medical Internet Research 2021;23(9):e29085 View
  120. Walrave M, Waeterloos C, Ponnet K. Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study. JMIR Public Health and Surveillance 2022;8(1):e22113 View
  121. Guazzini A, Fiorenza M, Panerai G, Duradoni M. What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic. Future Internet 2021;13(11):286 View
  122. Jansen-Kosterink S, Hurmuz M, den Ouden M, van Velsen L. Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens. JMIR Formative Research 2021;5(12):e28416 View
  123. Blauza S, Heuckmann B, Kremer K, Büssing A. Psychological distance towards COVID-19: Geographical and hypothetical distance predict attitudes and mediate knowledge. Current Psychology 2023;42(10):8632 View
  124. Witteveen D, de Pedraza P. The Roles of General Health and COVID-19 Proximity in Contact Tracing App Usage: Cross-sectional Survey Study. JMIR Public Health and Surveillance 2021;7(8):e27892 View
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  126. Chambers T, Egan R, Maclennan K, Emery T, Derrett S. Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand. Health Promotion International 2022;37(3) View
  127. Katusiime J, Tumuhimbise W, Rwambuka Mugyenyi G, Kobutungi P, Mugaba A, Zender R, Pinkwart N, Musiimenta A. The role of mobile health technologies in promoting COVID-19 prevention: A narrative review of intervention effectiveness and adoption. DIGITAL HEALTH 2022;8:205520762211311 View
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  131. Tretiakov A, Hunter I. User Experiences of the NZ COVID Tracer App in New Zealand: Thematic Analysis of Interviews. JMIR mHealth and uHealth 2021;9(9):e26318 View
  132. Dowthwaite L, Wagner H, Babbage C, Fischer J, Barnard P, Nichele E, Perez Vallejos E, Clos J, Portillo V, McAuley D, Baig M. The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PLOS ONE 2022;17(10):e0276661 View
  133. Lee J, Lin L, Kang H. The Influence of Normative Perceptions on the Uptake of the COVID-19 TraceTogether Digital Contact Tracing System: Cross-sectional Study. JMIR Public Health and Surveillance 2021;7(11):e30462 View
  134. Gallotti R, Sacco P, De Domenico M, Benito R. Complex Urban Systems: Challenges and Integrated Solutions for the Sustainability and Resilience of Cities. Complexity 2021;2021:1 View
  135. Borsci S, Lehtola V, Nex F, Yang M, Augustijn E, Bagheriye L, Brune C, Kounadi O, Li J, Moreira J, Van Der Nagel J, Veldkamp B, Le D, Wang M, Wijnhoven F, Wolterink J, Zurita-Milla R. Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI & SOCIETY 2023;38(4):1465 View
  136. Prakash A, Das S. Explaining citizens’ resistance to use digital contact tracing apps: A mixed-methods study. International Journal of Information Management 2022;63:102468 View
  137. Nguyen T, Tran Hoang M, Phung M. “To our health!” Perceived benefits offset privacy concerns in using national contact-tracing apps. Library Hi Tech 2023;41(1):174 View
  138. Shelby T, Caruthers T, Kanner O, Schneider R, Lipnickas D, Grau L, Manohar R, Niccolai L. Pilot Evaluations of Two Bluetooth Contact Tracing Approaches on a University Campus: Mixed Methods Study. JMIR Formative Research 2021;5(10):e31086 View
  139. Liu M, Zhou S, Jin Q, Nishimura S, Ogihara A. Effectiveness, Policy, and User Acceptance of COVID-19 Contact-Tracing Apps in the Post–COVID-19 Pandemic Era: Experience and Comparative Study. JMIR Public Health and Surveillance 2022;8(10):e40233 View
  140. Alkhalifah A, Bukar U. Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis. Frontiers in Public Health 2022;10 View
  141. Niwa M, Lim Y, Sengoku S, Kodama K. A Layered Adopter-Structure Model for the Download of COVID-19 Contact Tracing Apps: A System Dynamics Study for mHealth Penetration. International Journal of Environmental Research and Public Health 2022;19(7):4331 View
  142. Ross G. I use a COVID-19 contact-tracing app. Do you? Regulatory focus and the intention to engage with contact-tracing technology. International Journal of Information Management Data Insights 2021;1(2):100045 View
  143. Misra M, Joshi H, Sarwal R, Rao K. Exit strategies from lockdowns due to COVID-19: a scoping review. BMC Public Health 2022;22(1) View
  144. Boruchowicz C, Lopez Boo F, Roseth B, Tejerina L. Default options: a powerful behavioral tool to increase COVID-19 contact tracing app acceptance in Latin America?. Behavioural Public Policy 2023;7(3):662 View
  145. Grill E, Eitze S, De Bock F, Dragano N, Huebl L, Schmich P, Wieler L, Betsch C, Ortega J. Sociodemographic characteristics determine download and use of a Corona contact tracing app in Germany—Results of the COSMO surveys. PLOS ONE 2021;16(9):e0256660 View
  146. Oyibo K, Sahu K, Oetomo A, Morita P. Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations. Frontiers in Digital Health 2022;4 View
  147. Splinter B, Saadah N, Chavannes N, Kiefte-de Jong J, Aardoom J. Optimizing the Acceptability, Adherence, and Inclusiveness of the COVID Radar Surveillance App: Qualitative Study Using Focus Groups, Thematic Content Analysis, and Usability Testing. JMIR Formative Research 2022;6(9):e36003 View
  148. Jackman K, Tilchin C, Wagner J, Flinn R, Trent M, Latkin C, Ruhs S, Fields E, Hamill M, Mahaffey C, Greenbaum A, Jennings J. Desires for Individual- and Interpersonal-Level Patient Portal Use for HIV Prevention Among Urban Sexual Minority Men: Cross-sectional Study. JMIR Formative Research 2023;7:e43550 View
  149. Nunes N, Adamo G, Ribeiro M, R Gouveia B, Rubio Gouveia E, Teixeira P, Nisi V. 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. JMIR Human Factors 2022;9(3):e35434 View
  150. Prakash A, Das S, Pillai K. Understanding digital contact tracing app continuance: Insights from India. Health Policy and Technology 2021;10(4):100573 View
  151. Ioannou A, Tussyadiah I. Privacy and surveillance attitudes during health crises: Acceptance of surveillance and privacy protection behaviours. Technology in Society 2021;67:101774 View
  152. Aljohani A, Shuja J, Alasmary W, Alashaikh A. Evaluating the Dynamics of Bluetooth Low Energy Based COVID-19 Risk Estimation for Educational Institutes. Sensors 2021;21(19):6667 View
  153. Alsyouf A, Lutfi A, Al-Bsheish M, Jarrar M, Al-Mugheed K, Almaiah M, Alhazmi F, Masa’deh R, Anshasi R, Ashour A. Exposure Detection Applications Acceptance: The Case of COVID-19. International Journal of Environmental Research and Public Health 2022;19(12):7307 View
  154. Dawood S, AlKadi K. Acceptability and Effectiveness of COVID-19 Contact Tracing Applications: A Case Study in Saudi Arabia of the Tawakkalna Application. Cureus 2023 View
  155. Pepper C, Reyes-Cruz G, Pena A, Dowthwaite L, Babbage C, Wagner H, Nichele E, Fischer J. Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study. Journal of Medical Internet Research 2022;24(10):e40558 View
  156. Verpaalen I, Holland R, Ritter S, van Hooff M, Ebbers W, Hooft L, Metting E, van der Laan L. Resistance to contact tracing applications: The implementation process in a social context. Computers in Human Behavior 2022;134:107299 View
  157. Baldwin M, Daynes E, Chaplin E, Goddard A, Lloyd-Evans P, Mills G, Hong A, Gardiner N, Singh S. Public Use of the “Your COVID Recovery” Website Designed to Help Individuals Manage Their COVID-19 Recovery: Observational Study. JMIR Formative Research 2023;7:e37811 View
  158. Jiang X, Mohamed A. The insufficiency of the Malaysian contact tracing app from the perspective of Chinese tourists: preparing for international tourism in the post-COVID-19 world. Heliyon 2022;8(12):e12154 View
  159. van der Waal N, de Wit J, Bol N, Ebbers W, Hooft L, Metting E, van der Laan L. Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors. Technology in Society 2022;71:102101 View
  160. Ong A, Prasetyo Y, Yuduang N, Nadlifatin R, Persada S, Robas K, Chuenyindee T, Buaphiban T. Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand. International Journal of Environmental Research and Public Health 2022;19(13):7979 View
  161. Hansen S, Ehrari H, Kristiansen S, Olsen L, Jensen R, Kjær T, Beck M. User perspectives and preferences regarding a mobile health cough application: A qualitative study during the coronavirus disease pandemic in Denmark. DIGITAL HEALTH 2021;7:205520762110455 View
  162. Scholl A, Sassenberg K. How Identification With the Social Environment and With the Government Guide the Use of the Official COVID-19 Contact Tracing App: Three Quantitative Survey Studies. JMIR mHealth and uHealth 2021;9(11):e28146 View
  163. Geber S, Ho S. Examining the cultural dimension of contact-tracing app adoption during the COVID-19 pandemic: a cross-country study in Singapore and Switzerland. Information, Communication & Society 2023;26(11):2229 View
  164. Chopdar P. Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator. Health Policy and Technology 2022;11(3):100651 View
  165. Krüger N, Behne A, Beinke J, Stibe A, Teuteberg F. Exploring User Acceptance Determinants of COVID-19-Tracing Apps to Manage the Pandemic. International Journal of Technology and Human Interaction 2021;18(1):1 View
  166. Garousi V, Cutting D, Felderer M. Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps. Journal of Systems and Software 2022;184:111136 View
  167. Okereke G, Azegba O, Ukekwe E, Echezona S, Eneh A. An automated guide to COVID-19 and future pandemic prevention and management. Journal of Electrical Systems and Information Technology 2023;10(1) View
  168. Liu L, Mirkovski K, Lowry P, Vu Q. “Do as I say but not as I do”: Influence of political leaders’ populist communication styles on public adherence in a crisis using the global case of COVID-19 movement restrictions. Data and Information Management 2023;7(2):100039 View
  169. McCormick J, Hopkins M, Lehman E, Green M. Political views and organizational distrust affect rural residents’ willingness to share personal data for COVID-19 contact tracing: A cross-sectional survey study. Journal of Clinical and Translational Science 2023;7(1) View
  170. To W, Lee P. mHealth and COVID-19: A Bibliometric Study. Healthcare 2023;11(8):1163 View
  171. Umar N, Hill Z, Schellenberg J, Tuncalp Ö, Muzigaba M, Sambo N, Shuaibu A, Marchant T, Tappis H. Women’s perceptions of telephone interviews about their experiences with childbirth care in Nigeria: A qualitative study. PLOS Global Public Health 2023;3(4):e0001833 View
  172. Fitriani W, Sutanto J, Handayani P, Hidayanto A. User Compliance With the Health Emergency and Disaster Management System: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e41168 View
  173. Li H, Zhu Y. Privacy-Preserving Contact Tracing for Curbing the Spread of Infectious Disease. Journal of Database Management 2023;34(3):1 View
  174. Dumouchel D, Dufresne Y, Nadeau R, Poirier W. A Missed Opportunity? Making Sense of the Low Adoption Rate of COVID Alert, Canada’s Contact-Tracing Application. Canadian Journal of Communication 2023;48(3):609 View
  175. Haltaufderheide J, Krämer D, D’Angelo I, Brachem E, Vollmann J. Solidarity as an Empirical-Ethical Framework for the Analysis of Contact Tracing Apps — a Novel Approach. Philosophy & Technology 2023;36(3) View
  176. van der Meer A, Helms Y, Baron R, Crutzen R, Timen A, Kretzschmar M, Stein M, Hamdiui N. Citizen involvement in COVID-19 contact tracing with digital tools: a qualitative study to explore citizens’ perspectives and needs. BMC Public Health 2023;23(1) View
  177. Priyansyah R, Fuady I, Pratamawaty B. Factors influencing acceptance of Indonesian contact tracing APP: Development of the technology acceptance model. Human Technology 2023;19(2):262 View
  178. Sadeghi A, Pape S, Harborth D. The Impact of Individuals’ Social Environments on Contact Tracing App Use: Survey Study. JMIR Human Factors 2023;10:e45825 View
  179. Nasereddin M, Bartolacci M, Peca J, Glantz E, Grimes G, Verlato T. Digital Contact Tracing for COVID-19. International Journal of Disaster Response and Emergency Management 2023;6(1):1 View
  180. Henninger F, Kieslich P, Fernández-Fontelo A, Greven S, Kreuter F. Privacy Attitudes toward Mouse-Tracking Paradata Collection. Public Opinion Quarterly 2023;87(S1):602 View
  181. Salmani K, Atuh B. A Lesson for the Future: Will You Let Me Violate Your Privacy to Save Your Life?. Journal of Cybersecurity and Privacy 2023;3(2):259 View
  182. Alsahli S, Hor S, Lam M. Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR mHealth and uHealth 2023;11:e50419 View
  183. Smits M, Back N, Ebbers W. Responsible design and implementation of technologies for the prevention of infectious diseases: towards a values-based assessment framework for the Dutch government. Public Health 2023;222:29 View
  184. Hang C, Tsai Y, Yu P, Chen J, Tan C. Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review. Big Data and Cognitive Computing 2023;7(2):108 View
  185. Garry M, Zajac R, Hope L, Salathé M, Levine L, Merritt T. Hits and Misses: Digital Contact Tracing in a Pandemic. Perspectives on Psychological Science 2023 View
  186. Pihlajamäki M, Wickström S, Puranen K, Helve O, Yrttiaho A, Siira L. Implementing and Maintaining a SARS-CoV-2 Exposure Notification Application for Mobile Phones: The Finnish Experience. JMIR Public Health and Surveillance 2023;9:e46563 View
  187. Solehan H, Mohd Rani M, Mohamed N, Ithnin M, Ariffien A, Che Isahak C. Recommendation for Improvement in COVID-19 Vaccine Program in Malaysia: An Online Nationwide Qualitative Survey. Malaysian Journal of Medicine and Health Sciences 2023;19(4):76 View
  188. Williams S, Armitage C, Tampe T, Dienes K. Public attitudes towards COVID‐19 contact tracing apps: A UK‐based focus group study. Health Expectations 2021;24(2):377 View
  189. Louart S, Hedible G, Ridde V. Assessing the acceptability of technological health innovations in sub-Saharan Africa: a scoping review and a best fit framework synthesis. BMC Health Services Research 2023;23(1) View
  190. Dolezel M, Smutny Z. Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study. JMIR Human Factors 2023;10:e45481 View
  191. Belligoni S, Stevens K, Hasan S, Yu H, Alam S. Privacy and security concerns with passively collected location data for digital contact tracing among U.S. college students. PLOS ONE 2023;18(11):e0294419 View
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  193. Fox G, van der Werff L, Rosati P, Lynn T. Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy. JMIR mHealth and uHealth 2024;12:e48700 View
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Books/Policy Documents

  1. van ’t Klooster J, Slijkhuis P, van Gend J, Bente B, van Gemert-Pijnen L. Intelligent Human Computer Interaction. View
  2. Padyab A, Kävrestad J. ICT Systems Security and Privacy Protection. View
  3. Seidl D. The Geographies of COVID-19. View
  4. Priyadarsini K, Karthik S, Malathi K, Rao M. The Industrial Internet of Things (IIoT). View
  5. Varela-Aldás J, Pilla J, Andaluz V, Palacios-Navarro G. Computational Science and Its Applications – ICCSA 2021. View
  6. Wainwright S. Health Informatics and Patient Safety in Times of Crisis. View
  7. Thomas L, Sabine G. Mobile Health (mHealth). View
  8. Senn D, Loosli C. Society 5.0. View
  9. Farrelly G, Trabelsi H, Cocosila M. A New Era of Consumer Behavior - In and Beyond the Pandemic. View
  10. Dong C, Bharambe S, Bick M. Information Systems. View
  11. Criddle I, Hardy A, Smith G, Ranck T, Mondal M, Page X. Human-Computer Interaction. User Experience and Behavior. View
  12. Taipale S, Oinas T. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. View
  13. Negri-Ribalta C, Herbaut N, Salinesi C. Intelligent Information Systems. View
  14. Wang T, Bashir M. HCI for Cybersecurity, Privacy and Trust. View
  15. Spahiu I. Pandemic, Lockdown, and Digital Transformation. View
  16. Stehr P. The International Encyclopedia of Health Communication. View
  17. Monteiro M, Roth F, Shelley-Egan C. Technology Assessment in a Globalized World. View
  18. Niwa M. Mobile Health (mHealth). View
  19. Kodama K. Mobile Health (mHealth). View
  20. Roesler M, Liston P. HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games. View
  21. Akkaya F. Effective Cybersecurity Operations for Enterprise-Wide Systems. View
  22. Fischer F. Covid-19 pandisziplinär und international. View
  23. Çetin E, Özen H. Integrity, Transparency and Corruption in Healthcare & Research on Health, Volume II. View
  24. Yuan X, Bennett Gayle D, Jung E, Dadson Y. HCI International 2023 – Late Breaking Papers. View
  25. Ellis K, Goggin G, Dau D. Communicating COVID-19. View
  26. Olaegbe A, Lallmahomed M. Innovations and Interdisciplinary Solutions for Underserved Areas. View
  27. Anshari M, de Pablos P, Almunawar M. Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies. View
  28. Moretti V, Caliandro A. Reframing Algorithms. View