Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21613, first published .
Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study

Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study

Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study

Authors of this article:

Kai Kaspar1 Author Orcid Image

Journals

  1. Camacho-Rivera M, Islam J, Rivera A, Vidot D. Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey. JMIR mHealth and uHealth 2020;8(12):e24693 View
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  5. Kawakami N, Sasaki N, Kuroda R, Tsuno K, Imamura K. The Effects of Downloading a Government-Issued COVID-19 Contact Tracing App on Psychological Distress During the Pandemic Among Employed Adults: Prospective Study. JMIR Mental Health 2021;8(1):e23699 View
  6. Goniewicz K, Khorram-Manesh A. Maintaining Social Distancing during the COVID-19 Outbreak. Social Sciences 2021;10(1):14 View
  7. Drążkowski D, Trepanowski R, Chwiłkowska P, Majewska M. Self-persuasion increases motivation for social isolation during the COVID-19 pandemic through moral obligation. Social Psychological Bulletin 2020;15(4) View
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  9. von Wyl V. Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App. JMIR mHealth and uHealth 2021;9(2):e25345 View
  10. Montagni I, Roussel N, Thiébaut R, Tzourio C. Health Care Students’ Knowledge of and Attitudes, Beliefs, and Practices Toward the French COVID-19 App: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2021;23(3):e26399 View
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  38. Asadi F, Rahimi F, Ghaderkhany S, Almasi S. Self‐care for coronavirus disease through electronic health technologies: A scoping review. Health Science Reports 2023;6(2) View
  39. Buhr L, Schicktanz S, Nordmeyer E. Attitudes Toward Mobile Apps for Pandemic Research Among Smartphone Users in Germany: National Survey. JMIR mHealth and uHealth 2022;10(1):e31857 View
  40. 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
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  43. 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
  44. Tretter M. How is “solidarity” understood in discussions about contact tracing apps? An overview. Frontiers in Public Health 2022;10 View
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  49. Rahimi R, Khoundabi B, fathian A. Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens. International Journal of Medical Informatics 2021;155:104571 View
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  53. Oyibo K, Morita P. The Effect of Persuasive Design on the Adoption of Exposure Notification Apps: Quantitative Study Based on COVID Alert. JMIR Formative Research 2022;6(9):e34212 View
  54. 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
  55. Prakash A, Das S, Pillai K. Understanding digital contact tracing app continuance: Insights from India. Health Policy and Technology 2021;10(4):100573 View
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  61. 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
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  63. Mansour S, Abulibdeh A, Alahmadi M, Al-Said A, Al-Said A, Watmough G, Atkinson P. Spatial Associations between COVID-19 Incidence Rates and Work Sectors: Geospatial Modeling of Infection Patterns among Migrants in Oman. Annals of the American Association of Geographers 2022;112(7):1974 View
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Books/Policy Documents

  1. Mavridis N, Quack E, Wussow K. Leveraging Artificial Intelligence in Global Epidemics. View
  2. Hasan M, Sony M. The Palgrave Handbook of Global Social Change. View