Preservation of DNA Privacy During the Large Scale Detection of COVID-19
Marcel Hollenstein, David Naccache, Peter B. R{\o}nne, Peter Y A Ryan,, Robert Weil, and Ofer Yifrach-Stav

TL;DR
This paper proposes cryptographic-inspired testing methods for COVID-19 that detect the virus without preserving or revealing the patient's DNA, addressing privacy concerns in large-scale testing.
Contribution
It introduces a novel testing framework that prevents DNA privacy breaches during COVID-19 testing by leveraging cryptographic principles.
Findings
Blueprint for DNA-preserving COVID-19 tests
Potential to prevent DNA privacy violations
Addresses privacy issues in large-scale testing
Abstract
As humanity struggles to contain the global COVID-19 pandemic, privacy concerns are emerging regarding confinement, tracing and testing. The scientific debate concerning privacy of the COVID-19 tracing efforts has been intense, especially focusing on the choice between centralised and decentralised tracing apps. The privacy concerns regarding COVID-19 testing, however, have not received as much attention even though the privacy at stake is arguably even higher. COVID-19 tests require the collection of samples. Those samples possibly contain viral material but inevitably also human DNA. Patient DNA is not necessary for the test but it is technically impossible to avoid collecting it. The unlawful preservation, or misuse, of such samples at a massive scale may hence disclose patient DNA information with far-reaching privacy consequences. Inspired by the cryptographic concept of…
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Taxonomy
TopicsSARS-CoV-2 detection and testing · COVID-19 Digital Contact Tracing · COVID-19 diagnosis using AI
