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The acceptability and uptake of smartphone tracking for COVID-19 in Australia

Author

Listed:
  • Paul M Garrett
  • Joshua P White
  • Stephan Lewandowsky
  • Yoshihisa Kashima
  • Andrew Perfors
  • Daniel R Little
  • Nic Geard
  • Lewis Mitchell
  • Martin Tomko
  • Simon Dennis

Abstract

In response to the COVID-19 pandemic, many Governments are instituting mobile tracking technologies to perform rapid contact tracing. However, these technologies are only effective if the public is willing to use them, implying that their perceived public health benefits must outweigh personal concerns over privacy and security. The Australian federal government recently launched the ‘COVIDSafe’ app, designed to anonymously register nearby contacts. If a contact later identifies as infected with COVID-19, health department officials can rapidly followup with their registered contacts to stop the virus’ spread. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google’s Bluetooth exposure notification system) in two representative samples of the Australian public prior to the launch of COVIDSafe. We compared these attitudes to usage of the COVIDSafe app after its launch in a further two representative samples of the Australian public. Using Bayesian methods, we find widespread acceptance for all tracking technologies, however, observe a large intention-behaviour gap between people’s stated attitudes and actual uptake of the COVIDSafe app. We consider the policy implications of these results for Australia and the world at large.

Suggested Citation

  • Paul M Garrett & Joshua P White & Stephan Lewandowsky & Yoshihisa Kashima & Andrew Perfors & Daniel R Little & Nic Geard & Lewis Mitchell & Martin Tomko & Simon Dennis, 2021. "The acceptability and uptake of smartphone tracking for COVID-19 in Australia," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-23, January.
  • Handle: RePEc:plo:pone00:0244827
    DOI: 10.1371/journal.pone.0244827
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    Cited by:

    1. van der Waal, Nadine Elisa & de Wit, Jan & Bol, Nadine & Ebbers, Wolfgang & Hooft, Lotty & Metting, Esther & van der Laan, Laura Nynke, 2022. "Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors," Technology in Society, Elsevier, vol. 71(C).
    2. Sahabi Kabir Sulaiman & Muhammad Sale Musa & Fatimah Isma’il Tsiga-Ahmed & Abdulwahab Kabir Sulaiman & Abdulaziz Tijjani Bako, 2024. "A systematic review and meta-analysis of the global prevalence and determinants of COVID-19 vaccine acceptance and uptake in people living with HIV," Nature Human Behaviour, Nature, vol. 8(1), pages 100-114, January.
    3. Saheb, Tahereh & Sabour, Elham & Qanbary, Fatimah & Saheb, Tayebeh, 2022. "Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies," Technology in Society, Elsevier, vol. 69(C).
    4. Ozge Celik Yilmaz & Ozhan Ertekin, 2022. "A New Era for Urban Actors," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 11(1), pages 1-19, January.

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