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COVID-19 Contact Tracing Apps: A Stress Test for Privacy, the GDPR and Data Protection Regimes

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TLDR
This article looks at the compatibility of the proposed Apple/Google Bluetooth exposure notification system with Western privacy and data protection regimes and principles, including the General Data Protection Regulation (GDPR).
Abstract
Digital surveillance has played a key role in containing the COVID-19 outbreak in China, Singapore, Israel, and South Korea. Google and Apple recently announced the intention to build interfaces to allow Bluetooth contact tracking using Android and iPhone devices. In this article, we look at the compatibility of the proposed Apple/Google Bluetooth exposure notification system with Western privacy and data protection regimes and principles, including the General Data Protection Regulation (GDPR). Somewhat counter-intuitively, the GDPR's expansive scope is not a hindrance, but rather an advantage in conditions of uncertainty such as a pandemic. Its principle-based approach offers a functional blueprint for system design that is compatible with fundamental rights. By contrast, narrower, sector-specific rules such as the US Health Insurance Portability and Accountability Act (HIPAA), and even the new California Consumer Privacy Act (CCPA), leave gaps that may prove difficult to bridge in the middle of an emergency.

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Journal ArticleDOI

Wearable sensor data and self-reported symptoms for COVID-19 detection.

TL;DR: A smartphone app that combines smartwatch and activity tracker data together with self-reported symptoms allows continuous monitoring of SARS-CoV-2 infection and finds that a combination of symptom and sensor data resulted in an area under the curve (AUC) of 0.80, which is significantly better than a model 1 that considers symptoms alone.
Journal ArticleDOI

Adoption of COVID-19 Contact Tracing Apps: A Balance Between Privacy and Effectiveness.

TL;DR: In this paper, the authors highlight how characteristics of contract tracing and exposure notification apps contribute to the perceived levels of privacy awarded to citizens and how this impacts an app's effectiveness and conclude that finding the right balance between privacy and effectiveness is challenging because it is highly context-specific.
Journal ArticleDOI

Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model

TL;DR: In this article, Velicia-Martin et al. used an extended Technology Acceptance Model (TAM) model to investigate whether citizens would be willing to accept and adopt a mobile application that indicates if they have been in contact with people infected with COVID-19.
Journal ArticleDOI

State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review.

TL;DR: Overall, the review shows that a consistent number of applications appears to comply with standards of data privacy, while their usefulness from the public health perspective can still be maximized.
Journal ArticleDOI

Our digital footprint under Covid-19: should we fear the UK digital contact tracing app?

TL;DR: It is argued that equal attention should be given to the collaboration between NHS X and the private sector because it has the potential to magnify the illegal collection and sharing of data.
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