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Stay Healthy: Slovenian users' Opinions about the Covid-19 Contact-Tracing Mobile Application

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022

Author

Listed:
  • Petrović, Nenad
  • Meško, Maja
  • Dimovski, Vlado
  • Peterlin, Judita
  • Roblek, Vasja

Abstract

This paper aims to provide a systemic vision of the role and specifics of a Covid-19 contact-tracing mobile application, which can be presented as a data-driven mobile application for citizens in urban data management processes and is essential for a sustainable urban ecosystem to inform the user about contact with a potentially infected person. The study aims to reveal the behaviour of adults when using such an application. We also attempt to discover how the Covid 19 pandemic has changed communication and why users use mobile phones and their features, such as Bluetooth and GPS. The research focused on Slovenia and was conducted during the Covid-19 pandemic in April 2021. Five hundred adults were surveyed. The mixed-method survey investigates the determinants of adult citizens' behaviour in the Republic of Slovenia concerning the #Ostanizdrav application from three perspectives (installed app, activated app, and app used to report infection). In addition, the study examines the barriers and levers to using a contact tracing application to combat the pandemic in Slovenia. The second part of the study involves developing a Deep Learning-based predictive model trained on the data collected due to the survey. �

Suggested Citation

  • Petrović, Nenad & Meško, Maja & Dimovski, Vlado & Peterlin, Judita & Roblek, Vasja, 2022. "Stay Healthy: Slovenian users' Opinions about the Covid-19 Contact-Tracing Mobile Application," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2022), Hybrid Conference, Opatija, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022, pages 108-126, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr22:268319
    DOI: 10.54820/entrenova-2022-0011
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    References listed on IDEAS

    as
    1. Abinaya Megan Ramakrishnan & Aparna Nicole Ramakrishnan & Sarah Lagan & John Torous, 2020. "From Symptom Tracking to Contact Tracing: A Framework to Explore and Assess COVID-19 Apps," Future Internet, MDPI, vol. 12(9), pages 1-9, September.
    2. Dyani Lewis, 2021. "Contact-tracing apps help reduce COVID infections, data suggest," Nature, Nature, vol. 591(7848), pages 18-19, March.
    3. Jessica Morley & Josh Cowls & Mariarosaria Taddeo & Luciano Floridi, 2020. "Ethical guidelines for COVID-19 tracing apps," Nature, Nature, vol. 582(7810), pages 29-31, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    contact tracing mobile applicationscontact tracing mobile applications; Covid-19; Slovenia; deep learning; mobile phones;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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