COVID-19 Contact-tracing Apps: a Survey on the Global Deployment and Challenges
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Abstract (arXiv)
To address the massive spike in uncertainties triggered by the coronavirus disease (COVID-19), there is an ever-increasing number of national governments that are rolling out contact-tracing Apps to aid the containment of the virus. The first hugely contentious issue facing the Apps is the deployment framework, i.e. centralized or decentralized. Based on this, the debate branches out to the corresponding technologies that underpin these architectures, i.e. GPS, QR codes, and Bluetooth. This work conducts a pioneering review of the above scenarios and contributes a geolocation mapping of the current deployment. The Apps vulnerabilities and the directions of research are identified, with a special focus on the Bluetooth-inspired decentralized paradigm.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 May 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1.
4 papers.
- 2022Data-Centric Epidemic Forecasting: A Surveycited by 8
- 2021Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Datasetcited by 2
- 2024First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modelingcited by 1
- 2022BeeTS: Smart Distributed Sensor Tuple Spaces combined with Agents using Bluetooth and IP Broadcastingcited by 0
- 2024First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modeling9 Jan 2024
- 2022Data-Centric Epidemic Forecasting: A Survey19 Jul 2022
- 2022BeeTS: Smart Distributed Sensor Tuple Spaces combined with Agents using Bluetooth and IP Broadcasting5 Apr 2022
- 2021Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset1 Mar 2021