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

Early Results from COVID-19 Studies (281) JMIR Theme Issue: COVID-19 Special Issue (2394) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Outbreak and Pandemic Preparedness and Management (1679) Infectious Diseases (non-STD/STI) (1490) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Participatory Epidemiology and Surveillance (107)

Published on in Vol 5, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.06.02.20113423v1, first published .
Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens

Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens

Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens

Authors of this article:

Stephanie Jansen-Kosterink1, 2 Author Orcid Image ;   Marian Hurmuz1, 2 Author Orcid Image ;   Marjolein den Ouden3 Author Orcid Image ;   Lex van Velsen1, 2 Author Orcid Image
Article Authors Cited by (19) Tweetations (5) Metrics

Journals

  1. Osmanlliu E, Paquette J, Rodriguez Duarte M, Bédard S, de Marcellis-Warin N, Zhegu M, Régis C, Bouthillier M, Grenier A, Lewis P, Pomey M. Public Perspectives on Exposure Notification Apps: A Patient and Citizen Co-Designed Study. Journal of Personalized Medicine 2022;12(5):729 View
  2. Ritsema F, Bosdriesz J, Leenstra T, Petrignani M, Coyer L, Schreijer A, van Duijnhoven Y, van de Wijgert J, Schim van der Loeff M, Matser A. Factors Associated With Using the COVID-19 Mobile Contact-Tracing App Among Individuals Diagnosed With SARS-CoV-2 in Amsterdam, the Netherlands: Observational Study. JMIR mHealth and uHealth 2022;10(8):e31099 View
  3. van Brakel R, Kudina O, Fonio C, Boersma K. Bridging values: Finding a balance between privacy and control. The case of Corona apps in Belgium and the Netherlands. Journal of Contingencies and Crisis Management 2022;30(1):50 View
  4. Vincent W. Developing and Evaluating a Measure of the Willingness to Use Pandemic-Related mHealth Tools Using National Probability Samples in the United States: Quantitative Psychometric Analyses and Tests of Sociodemographic Group Differences. JMIR Formative Research 2023;7:e38298 View
  5. 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
  6. Galavi Z, Pourasad M, Norouzi S, Jahani Y, Khajouei R. Public Usage, Perceived Usefulness, and Satisfaction with E-health Services in COVID-19 Pandemic. Journal of Clinical Research in Paramedical Sciences 2023;11(2) View
  7. Osmanlliu E, Paquette J, Grenier A, Lewis P, Bouthillier M, Bédard S, Pomey M. Fantastic perspectives and where to find them: involving patients and citizens in digital health research. Research Involvement and Engagement 2022;8(1) View
  8. Folkvord F, Peschke L, Gümüş Ağca Y, van Houten K, Stazi G, Roca-Umbert A, Güneş Peschke S, Seyfafjehi S, Gallego A, Gaeta E, Fico G, Karinsalo A, Lupianez Villanueva F. Preferences in the Intention to Download a COVID Tracing App: A Discrete Choice Experiment Study in the Netherlands and Turkey. Frontiers in Communication 2022;7 View
  9. Pranić L. What Happens to the Entrepreneurial Intentions of Gen Z in a Crony Capitalist Economy Amidst the COVID-19 Pandemic?. Sustainability 2023;15(7):5750 View
  10. van der Meer A, Helms Y, Baron R, Crutzen R, Timen A, Kretzschmar M, Stein M, Hamdiui N. Citizen involvement in COVID-19 contact tracing with digital tools: a qualitative study to explore citizens’ perspectives and needs. BMC Public Health 2023;23(1) View
  11. Sadeghi A, Pape S, Harborth D. The Impact of Individuals’ Social Environments on Contact Tracing App Use: Survey Study. JMIR Human Factors 2023;10:e45825 View
  12. Kuo K. Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making 2023;23(1) View
  13. Matricardi P, Hoffmann T, Dramburg S. The “allergic nose as a pollen detector” concept: e‐Diaries to predict pollen trends. Pediatric Allergy and Immunology 2023;34(6) View
  14. Faber J, Al-Dhahir I, Kraal J, Breeman L, van den Berg-Emons R, Reijnders T, van Dijk S, Janssen V, Kraaijenhagen R, Visch V, Chavannes N, Evers A. Guide Development for eHealth Interventions Targeting People With a Low Socioeconomic Position: Participatory Design Approach. Journal of Medical Internet Research 2023;25:e48461 View
  15. Osmanlliu E, Paquette J, Rodriguez Duarte M, Bédard S, Pomey M. Teenager Perspectives on COVID Alert, a Digital Exposure Notification App in Canada. Journal of Adolescent Health 2024;74(3):617 View
  16. Ter Haar W, Bosdriesz J, Venekamp R, Schuit E, van den Hof S, Ebbers W, Kretzschmar M, Kluijtmans J, Moons C, Schim van der Loeff M, Matser A, van de Wijgert J, Tizzoni M. The epidemiological impact of digital and manual contact tracing on the SARS-CoV-2 epidemic in the Netherlands: Empirical evidence. PLOS Digital Health 2023;2(12):e0000396 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

Books/Policy Documents

  1. Farrelly G, Trabelsi H, Cocosila M. A New Era of Consumer Behavior - In and Beyond the Pandemic. View