Published on in Vol 5, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23000, first published .
Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States

Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States

Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States

Journals

  1. Scherr T, DeSousa J, Moore C, Hardcastle A, Wright D. App Use and Usability of a Barcode-Based Digital Platform to Augment COVID-19 Contact Tracing: Postpilot Survey and Paradata Analysis. JMIR Public Health and Surveillance 2021;7(3):e25859 View
  2. Majeed A, Lee S. Towards Privacy Paradigm Shift Due to the Pandemic: A Brief Perspective. Inventions 2021;6(2):24 View
  3. Trevino J, Keswani M, Pourmand A. A Web-Based Digital Contact Tracing Strategy Addresses Stigma Concerns Among Individuals Evaluated for COVID-19. Telemedicine and e-Health 2022;28(3):317 View
  4. 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
  5. Liccardi I, Alekseyev J, Woltz V, McLean J, Zurko M. Public Willingness to Engage With COVID-19 Contact Tracing, Quarantine, and Exposure Notification. Public Health Reports 2022;137(2_suppl):90S View
  6. Rodriguez-Blazquez C, Romay-Barja M, Falcon M, Ayala A, Forjaz M. Psychometric Properties of the COVID-19 Pandemic Fatigue Scale: Cross-sectional Online Survey Study. JMIR Public Health and Surveillance 2022;8(9):e34675 View
  7. Kao Y, Sapp S. The effect of cultural values and institutional trust on public perceptions of government use of network surveillance. Technology in Society 2022;70:102047 View
  8. 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
  9. Hayes T, White W, Harris K, Mohammed A, Henderson F, Compretta C. Living through their first pandemic: Mississippi young adults reveal COVID-19 concerns and challenges. Journal of American College Health 2023:1 View
  10. Bajaj A, Laknaoui W. Behavioral Inhibition as an Antecedent to Multi-Dimensional Attitudes Towards Surveillance Technology. International Journal of Information Systems and Social Change 2022;13(1):1 View
  11. Wang Y, Ngien A, Ahmed S. Nationwide Adoption of a Digital Contact Tracing App: Examining the Role of Privacy Concern, Political Trust, and Technology Literacy. Communication Studies 2022;73(4):364 View
  12. 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
  13. González-Herrera A, Rodríguez-Blázquez C, Romay-Barja M, Falcon-Romero M, Ayala A, Forjaz M. Age differences in knowledge, attitudes and preventive practices during the COVID-19 pandemic in Spain. Scientific Reports 2022;12(1) View
  14. Caserotti M, Girardi P, Tasso A, Rubaltelli E, Lotto L, Gavaruzzi T. Joint analysis of the intention to vaccinate and to use contact tracing app during the COVID-19 pandemic. Scientific Reports 2022;12(1) View
  15. Specht I, Sani K, Loftness B, Hoffman C, Gionet G, Bronson A, Marshall J, Decker C, Bailey L, Siyanbade T, Kemball M, Pickett B, Hanage W, Brown T, Sabeti P, Colubri A. Analyzing the impact of a real-life outbreak simulator on pandemic mitigation: An epidemiological modeling study. Patterns 2022;3(8):100572 View
  16. COŞKUN A. Dijital Gözetim Kavramının Literatürdeki Gelişimi: Bibliyometrik Bir İnceleme. Kastamonu İletişim Araştırmaları Dergisi 2023;(11):51 View
  17. Vincent W. Willingness to Use Digital Health Screening and Tracking Tools for Public Health in Sexual Minority Populations in a National Probability Sample: Quantitative Intersectional Analysis. Journal of Medical Internet Research 2024;26:e47448 View
  18. 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