Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22594, first published .
Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review

Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review

Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review

Journals

  1. Mao Z, Yao H, Zou Q, Zhang W, Dong Y. Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study. JMIR mHealth and uHealth 2021;9(1):e26836 View
  2. 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
  3. Blacklow S, Lisker S, Ng M, Sarkar U, Lyles C. Usability, inclusivity, and content evaluation of COVID-19 contact tracing apps in the United States. Journal of the American Medical Informatics Association 2021;28(9):1982 View
  4. Ami J, Ishii K, Sekimoto Y, Masui H, Ohmukai I, Yamamoto Y, Okumura T. Computation of Infection Risk via Confidential Locational Entries: A Precedent Approach for Contact Tracing With Privacy Protection. IEEE Access 2021;9:87420 View
  5. Shanbehzadeh M, Kazemi-Arpanahi H. Developing a Minimum Dataset for a Mobile-based Contact Tracing System for the COVID-19 Pandemic. Shiraz E-Medical Journal 2021;23(3) View
  6. Kim Y, Choi J, Ji Y, Woo H. Insights from Review and Content Analysis of Current COVID-19 Mobile Apps and Recommendations for Future Pandemics. International Journal of Environmental Research and Public Health 2022;19(22):14652 View
  7. Alrawais A, Alharbi F, Almoteri M, Altamimi B, Alnafisah H, Aljumeiah N. Privacy-Preserving Techniques in Social Distancing Applications: A Comprehensive Survey. Journal of Advanced Computational Intelligence and Intelligent Informatics 2022;26(3):325 View
  8. Krüger N, Behne A, Beinke J, Stibe A, Teuteberg F. Exploring User Acceptance Determinants of COVID-19-Tracing Apps to Manage the Pandemic. International Journal of Technology and Human Interaction 2021;18(1):1 View
  9. Saheb T, Sabour E, Qanbary F, Saheb T. Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies. Technology in Society 2022;69:101968 View
  10. Elbir A, Gurbilek G, Soner B, Papazafeiropoulos A, Kourtessis P, Coleri S. Vehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19. Smart Health 2022;26:100353 View
  11. Leal-Neto O, Egger T, Schlegel M, Flury D, Sumer J, Albrich W, Babouee Flury B, Kuster S, Vernazza P, Kahlert C, Kohler P. Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study. JMIR Public Health and Surveillance 2021;7(11):e33576 View
  12. Mohammad H, Elham M, Mehraeen E, Aghamohammadi V, Seyedalinaghi S, Kalantari S, Nahid M, Nasiri K. Identifying data elements and key features of a mobile-based self-care application for patients with COVID-19 in Iran. Health Informatics Journal 2021;27(4):146045822110657 View
  13. Zhang X, Xu Y. Business Cycle and Public Health: The Moderating Role of Health Education and Digital Economy. Frontiers in Public Health 2022;9 View