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

Security and Privacy of mHealth and uHealth (116) JMIR Theme Issue: COVID-19 Special Issue (2394) Participatory Epidemiology and Surveillance (107) mHealth for Wellness, Behavior Change and Prevention (2754) mHealth for Screening (194) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Surveillance Systems (430)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30871, first published .
Post-COVID Public Health Surveillance and Privacy Expectations in the United States: Scenario-Based Interview Study

Post-COVID Public Health Surveillance and Privacy Expectations in the United States: Scenario-Based Interview Study

Post-COVID Public Health Surveillance and Privacy Expectations in the United States: Scenario-Based Interview Study

Authors of this article:

John S Seberger1 Author Orcid Image ;   Sameer Patil2 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Ferretti A, Vayena E. In the shadow of privacy: Overlooked ethical concerns in COVID-19 digital epidemiology. Epidemics 2022;41:100652 View
  2. Berridge C, Grigorovich A. Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes. Frontiers in Sociology 2022;7 View
  3. Walsh T. Modeling COVID-19 with big mobility data: Surveillance and reaffirming the people in the data. Big Data & Society 2023;10(1):205395172311641 View
  4. Jiang J, Zheng Z. Personal Information Protection and Privacy Policy Compliance of Health Code Apps in China: Scale Development and Content Analysis. JMIR mHealth and uHealth 2023;11:e48714 View
  5. Kowalewski M, Utz C, Degeling M, Schnitzler T, Herbert F, Schaewitz L, Farke F, Becker S, Dürmuth M. 52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over Time. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
  6. 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
  7. Chen A. The Liberalism of Fear and Public Health Ethics. Public Health Ethics 2024;17(1-2):53 View
  8. 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 View
  9. Seberger J, Choung H, Snyder J, David P. Better Living Through Creepy Technology? Exploring Tensions Between a Novel Class of Well-Being Apps and Affective Discomfort in App Culture. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  10. Sun L, Yang B, Kindt E, Chu J. Privacy Barriers in Health Monitoring: Scoping Review. JMIR Nursing 2024;7:e53592 View
  11. Golna C, Markakis I, Tzavara C, Golnas P, Ntokou A, Souliotis K. Screening and early detection of communicable diseases on board cruise ships: An assessment of passengers’ preferences on technical solutions. Travel Medicine and Infectious Disease 2024;60:102729 View