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

Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) JMIR Theme Issue: COVID-19 Special Issue (2452) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Security and Privacy of mHealth and uHealth (124) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Use and User Demographics of mHealth (335)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29923, first published .
Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan

Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan

Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan

Authors of this article:

Masahiro Shoji1 Author Orcid Image ;   Asei Ito1 Author Orcid Image ;   Susumu Cato1 Author Orcid Image ;   Takashi Iida1 Author Orcid Image ;   Kenji Ishida1 Author Orcid Image ;   Hiroto Katsumata2 Author Orcid Image ;   Kenneth Mori McElwain1 Author Orcid Image
Article Authors Cited by (21) Tweetations (9) Metrics

Journals

  1. Shoji M, Cato S, Iida T, Ishida K, Ito A, McElwain K. Variations in Early-Stage Responses to Pandemics: Survey Evidence from the COVID-19 Pandemic in Japan. Economics of Disasters and Climate Change 2022;6(2):235 View
  2. Shoji M, Cato S, Ito A, Iida T, Ishida K, Katsumata H, McElwain K. Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan. Social Science & Medicine 2022;306:115142 View
  3. Shibuya Y, Lai C, Hamm A, Takagi S, Sekimoto Y. Do open data impact citizens’ behavior? Assessing face mask panic buying behaviors during the Covid-19 pandemic. Scientific Reports 2022;12(1) View
  4. Harada T, Shoji M, Takafuji Y. Intergenerational spillover effects of school-based disaster education: Evidence from Indonesia. International Journal of Disaster Risk Reduction 2023;85:103505 View
  5. Pinnock H, Murphie P, Vogiatzis I, Poberezhets V. Telemedicine and virtual respiratory care in the era of COVID-19. ERJ Open Research 2022;8(3):00111-2022 View
  6. Aida T, Shoji M. Cross-country evidence on the role of national governance in boosting COVID-19 vaccination. BMC Public Health 2022;22(1) View
  7. 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
  8. Wileden L, Anthony D, Campos-Castillo C, Morenoff J. Resident Willingness to Participate in Digital Contact Tracing in a COVID-19 Hotspot: Findings From a Detroit Panel Study. JMIR Public Health and Surveillance 2023;9:e39002 View
  9. Reeck C, Posner N, Mrkva K, Johnson E. Nudging App Adoption: Choice Architecture Facilitates Consumer Uptake of Mobile Apps. Journal of Marketing 2023;87(4):510 View
  10. Chong Y, Chien W, Cheng H, Lamnisos D, Ļubenko J, Presti G, Squatrito V, Constantinou M, Nicolaou C, Papacostas S, Aydin G, Ruiz F, Garcia-Martin M, Obando-Posada D, Segura-Vargas M, Vasiliou V, McHugh L, Höfer S, Baban A, Neto D, da Silva A, Monestès J, Alvarez-Galvez J, Blarrina M, Montesinos F, Salas S, Őri D, Kleszcz B, Lappalainen R, Ivanović I, Gosar D, Dionne F, Merwin R, Gloster A, Kassianos A, Karekla M. Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study. Globalization and Health 2023;19(1) View
  11. 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
  12. 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
  13. 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
  14. Kurokawa H, Sasaki S, Ohtake F. The role of nudge-based messages on the acceptability and download of COVID-19 contact tracing apps: survey experiments. The Japanese Economic Review 2024 View
  15. Zhai Y. The COVID-19 pandemic and popular confidence in democracy: evidence from China, Japan, and South Korea. Democratization 2024:1 View
  16. 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
  17. Bhatt Y, Ghuman K, Alshibani S, Awan U. Adoption of contact tracing app during pandemic: Users’ resistance behavior. Health Policy and Technology 2024:100901 View
  18. Mon S, Yamada K. Do pandemics reduce support for democracy? A survey experiment in Myanmar. Japanese Journal of Political Science 2024:1 View
  19. Li D, Zhao Y, Zhou S, Ng S. Social media data-based spatio-temporal assessment of public attitudes towards digital contact tracing applications: A case of health code application in mainland China. Technological Forecasting and Social Change 2024;209:123775 View
  20. Ramzy M. Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis. Aslib Journal of Information Management 2024 View