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

JMIR Theme Issue: COVID-19 Special Issue (2452) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24730, first published .
Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore

Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore

Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore

Authors of this article:

Young Ern Saw1 Author Orcid Image ;   Edina Yi-Qin Tan1 Author Orcid Image ;   Jessica Shijia Liu1 Author Orcid Image ;   Jean CJ Liu1, 2 Author Orcid Image
Article Authors Cited by (44) Tweetations (7) Metrics

Journals

  1. Mancastroppa M, Castellano C, Vezzani A, Burioni R. Stochastic sampling effects favor manual over digital contact tracing. Nature Communications 2021;12(1) View
  2. Long V, Koh W, Saw Y, Liu J. Vulnerability to rumours during the COVID-19 pandemic in Singapore. Annals of the Academy of Medicine, Singapore 2021;50(3):232 View
  3. Long V, Liu J. Behavioural changes during the COVID-19 pandemic: Results of a nationwide survey in Singapore. Annals of the Academy of Medicine, Singapore 2021;50(3):222 View
  4. Touzani R, Schultz E, Holmes S, Vandentorren S, Arwidson P, Guillemin F, Rey D, Rouquette A, Bouhnik A, Mancini J. Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey. JMIR mHealth and uHealth 2021;9(7):e27768 View
  5. O'Connell J, Abbas M, Beecham S, Buckley J, Chochlov M, Fitzgerald B, Glynn L, Johnson K, Laffey J, McNicholas B, Nuseibeh B, O'Callaghan M, O'Keeffe I, Razzaq A, Rekanar K, Richardson I, Simpkin A, Storni C, Tsvyatkova D, Walsh J, Welsh T, O'Keeffe D. Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature. JMIR mHealth and uHealth 2021;9(6):e27753 View
  6. Martínez D, Parilli C, Rojas A, Scartascini C, Simpser A, Lupu N. Do you have COVID-19? How to increase the use of diagnostic and contact tracing apps. PLOS ONE 2021;16(7):e0253490 View
  7. große Deters F, Meier T, Milek A, Horn A. Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps: Empirical Study. Journal of Medical Internet Research 2021;23(8):e29268 View
  8. Nurgalieva L, Ryan S, Doherty G. Attitudes Towards COVID-19 Contact Tracing Apps: A Cross-National Survey. IEEE Access 2023;11:16509 View
  9. 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
  10. 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
  11. Ross G. Mass surveillance to fight COVID-19: acceptance of surveillance technologies depends on goal-directed motivation. Journal of Location Based Services 2023;17(1):26 View
  12. Afroogh S, Esmalian A, Mostafavi A, Akbari A, Rasoulkhani K, Esmaeili S, Hajiramezanali E. Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19. Ethics and Information Technology 2022;24(3) View
  13. Dash S, Jain A, Dey L, Dasgupta T, Naskar A. Factors affecting user experience of contact tracing app during COVID-19: an aspect-based sentiment analysis of user-generated review. Behaviour & Information Technology 2023;42(2):249 View
  14. Prakash A, Das S, Pillai K. Understanding digital contact tracing app continuance: Insights from India. Health Policy and Technology 2021;10(4):100573 View
  15. Kinyili M, Munyakazi J, Mukhtar A. Mathematical modeling and impact analysis of the use of COVID Alert SA app. AIMS Public Health 2021;9(1):106 View
  16. Wichmann J, Leyer M. Factors Influencing the Intention of Actors in Hospitals to Use Indoor Positioning Systems: Reasoned Action Approach. Journal of Medical Internet Research 2021;23(10):e28193 View
  17. Kinyili M, Munyakazi J, Mukhtar A, Tanimoto J. Modeling the impact of combined use of COVID Alert SA app and vaccination to curb COVID-19 infections in South Africa. PLOS ONE 2023;18(2):e0264863 View
  18. Barsova T, Cheong Z, Mak A, Liu J. Predicting Psychological Symptoms When Facebook’s Digital Well-being Features Are Used: Cross-sectional Survey Study. JMIR Formative Research 2022;6(8):e39387 View
  19. 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
  20. Kurtaliqi F, Zaman M, Sohier R. The psychological reassurance effect of mobile tracing apps in Covid-19 Era. Computers in Human Behavior 2022;131:107210 View
  21. Bannister-Tyrrell M, Chen M, Choi V, Miglietta A, Galea G. Systematic scoping review of the implementation, adoption, use, and effectiveness of digital contact tracing interventions for COVID-19 in the Western Pacific Region. The Lancet Regional Health - Western Pacific 2023;34:100647 View
  22. Guillon M. Digital contact-tracing in France: uptake by COVID-19 risk factor and by exposure risk. Journal of Public Health 2022;44(3):e366 View
  23. Huang Z, Guo H, Lim H, Chow A. Determinants of the acceptance and adoption of a digital contact tracing tool during the COVID-19 pandemic in Singapore. Epidemiology and Infection 2022;150 View
  24. Chen A, Thio K. Exploring the drivers and barriers to uptake for digital contact tracing. Social Sciences & Humanities Open 2021;4(1):100212 View
  25. Shoji M, Ito A, Cato S, Iida T, Ishida K, Katsumata H, McElwain K. Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan. JMIR mHealth and uHealth 2021;9(8):e29923 View
  26. 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
  27. Zhang Z, Vaghefi I. Continued Use of Contact-Tracing Apps in the United States and the United Kingdom: Insights From a Comparative Study Through the Lens of the Health Belief Model. JMIR Formative Research 2022;6(12):e40302 View
  28. 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
  29. Alscher A, Schnellbächer B, Wissing C. Adoption of Digital Vaccination Services: It Is the Click Flow, Not the Value—An Empirical Analysis of the Vaccination Management of the COVID-19 Pandemic in Germany. Vaccines 2023;11(4):750 View
  30. Mettler T, Stepanovic S. Acceptable nudge strategies to incentivize the use of wearables and physiolytics at work: A Q-methodology examination. Journal of Information Technology 2024;39(2):361 View
  31. Silberberg B, Young C, Bag S, Moreira C, Norton S, Wells J, Shaban R. Socioeconomic disadvantage and engagement with digital contact tracing for COVID-19 in Western Sydney: A secondary analysis of surveillance data. Australian and New Zealand Journal of Public Health 2023;47(5):100087 View
  32. Chow B, Lim Y, Poh R, Ko A, Hong G, Zou S, Cheah J, Ho S, Lee V, Ho M. Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread. BMC Public Health 2023;23(1) View
  33. Prabhune A, Bhat S, Mallavaram A, Mehar Shagufta A, Srinivasan S. A Situational Analysis of the Impact of the COVID-19 Pandemic on Digital Health Research Initiatives in South Asia. Cureus 2023 View
  34. Sujarwoto S, Maharani A. Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature. Frontiers in Public Health 2023;11 View
  35. Alterkait M, Almutarie A, Alduaij M. Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data. Journal of Cases on Information Technology 2024;26(1):1 View
  36. Alan A. Life fits home: Exploring people's experience with a COVID-19 tracing app in Turkey through a qualitative study. Mobile Media & Communication 2024;12(3):584 View
  37. Cheung L, Lau A, Lam K, Ng P. A Review of Environmental Factors for an Ontology-Based Risk Analysis for Pandemic Spread. COVID 2024;4(4):466 View
  38. Steinbrink E, Reuter C. The impact of transparency and trust on user acceptance of contact tracing apps: Implications for the adoption of crisis response apps. International Journal of Disaster Risk Reduction 2024;112:104661 View
  39. Cobb S, Schrode K, Siddiq H, Boyce S, Taylor K, Vargas R, Harawa N. An Examination of Responses to COVID-19 Contact-Tracing Efforts in Black/African American and Hispanic/Latinx Communities of Los Angeles. Health Equity 2024;8(1):493 View
  40. Lee Y, Loo L, Oh E, Ang I, Menon R. Pediatric trauma during the COVID-19 lockdown: caregiver abuse and self-harm in a vulnerable population. Pediatric Surgery International 2024;40(1) View
  41. Bito S, Hayashi Y, Fujita T, Takahashi I, Arai H, Yonemura S. Survey of Citizens’ Preferences for Combined Contact Tracing App Features During a Pandemic: Conjoint Analysis. JMIR Public Health and Surveillance 2024;10:e53340 View
  42. Pereira E, Rosa C. Social Impacts of Post-Covid-19: Resilience and Recover of Tourism in Portugal. Open Journal of Social Sciences 2024;12(01):276 View