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

Security and Privacy of mHealth and uHealth (98) JMIR Theme Issue: COVID-19 Special Issue (2276) Participatory Epidemiology and Surveillance (98) mHealth for Wellness, Behavior Change and Prevention (2523) mHealth for Screening (165) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1155) Theme Issue: Apps for COVID-19 (#Apps4Covid) (127) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (132) Surveillance Systems (395)

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 Seberger 1 Author Orcid Image ;   Sameer Patil 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) 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