ArticlePloS one2021
The acceptability and uptake of smartphone tracking for COVID-19 in Australia.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- 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 · 2024Pooled it
- User Compliance With the Health Emergency and Disaster Management System: Systematic Literature Review.Journal of medical Internet research · 2023Pooled it
- Public health effectiveness of digital contact tracing in the COVID-19 pandemic: A systematic review of available data.Acta bio-medica : Atenei Parmensis · 2021Pooled it
- Characteristics and determinants of population acceptance of COVID-19 digital contact tracing: a systematic review.Acta bio-medica : Atenei Parmensis · 2021Pooled it
- COVID-19 Vaccine Passport and International Traveling: The Combined Effect of Two Nudges on Americans' Support for the Pass.International journal of environmental research and public health · 2021Trial
- Public Awareness, Attitudes, and Practices Toward Digital Health Surveillance in Malawi: Cross-Sectional Study.JMIR public health and surveillance · 2026Article
- Understanding the Behavioral Determinants of First Responder App Adoption by Integrating Perspectives From the Unified Theory of Acceptance and Use of Technology and Health Belief Model: Cross-Sectional Survey.JMIR human factors · 2025Article
- Modeling-based design of adaptive control strategy for the effective preparation of 'Disease X'.BMC medical informatics and decision making · 2025Article
- Contact tracing strategies for infectious diseases: A systematic literature review.PLOS global public health · 2025Article
- Lessons drawn from Shanghai for controlling highly transmissible SARS-CoV-2 variants: insights from a modelling study.BMC infectious diseases · 2023Article
- Systematic scoping review of the implementation, adoption, use, and effectiveness of digital contact tracing interventions for COVID-19 in the Western Pacific Region.The Lancet regional health. Western Pacific · 2023Article
- A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions.Computer networks · 2023Review
- Impact of Privacy Messaging on COVID-19 Exposure Notification App Downloads: Evidence From a Randomized Experiment.AJPM focus · 2023Article
- Public attitudes towards the use of novel technologies in their future healthcare: a UK survey.BMC medical informatics and decision making · 2023Article
- Factors associated with acceptance of a digital contact tracing application for COVID-19 in the Japanese working-age population.Nagoya journal of medical science · 2023Article
- Mobile applications in the Philippines during the COVID-19 pandemic: systematic search, use case mapping, and quality assessment using the Mobile App Rating Scale (MARS).BMC digital health · 2023Article
- Continued Use of Contact-Tracing Apps in the United States and the United Kingdom: Insights From a Comparative Study Through the Lens of the Health Belief Model.JMIR formative research · 2022Article
- Emulation of epidemics via Bluetooth-based virtual safe virus spread: Experimental setup, software, and data.PLOS digital health · 2022Article
- The use of mobile apps and fitness trackers to promote healthy behaviors during COVID-19: A cross-sectional survey.PLOS digital health · 2022Article
- A methodology for evaluating digital contact tracing apps based on the COVID-19 experience.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.