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Journal of the American Medical Informatics Association | Vol., Issue. | 2020-06-25 | Pages

Journal of the American Medical Informatics Association

Inherent privacy limitations of decentralized contact tracing apps

Ippolito, Daphne   Janda, Richard   Sharma, Abhinav   Yu, Yun William   Bengio, Yoshua   Rousseau, Jean-François   Prud'homme, Benjamin   Jarvie, Max  
Abstract

Recently, there have been many efforts to use mobile apps as an aid in contact tracing to control the spread of the SARS-CoV-2 (Covid-19) pandemic. However, although many apps aim to protect individual privacy, the very nature of contact tracing must reveal some otherwise protected personal information. Digital contact tracing has endemic privacy risks that cannot be removed by technological means, and which may require legal or economic solutions. In this brief communication, we discuss a few of these inherent privacy limitations of any decentralized automatic contact tracing system.

Original Text (This is the original text for your reference.)

Inherent privacy limitations of decentralized contact tracing apps

Recently, there have been many efforts to use mobile apps as an aid in contact tracing to control the spread of the SARS-CoV-2 (Covid-19) pandemic. However, although many apps aim to protect individual privacy, the very nature of contact tracing must reveal some otherwise protected personal information. Digital contact tracing has endemic privacy risks that cannot be removed by technological means, and which may require legal or economic solutions. In this brief communication, we discuss a few of these inherent privacy limitations of any decentralized automatic contact tracing system.

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Ippolito, Daphne, Janda, Richard, Sharma, Abhinav, Yu, Yun William,Bengio, Yoshua, Rousseau, Jean-François, Prud'homme, Benjamin, Jarvie, Max,.Inherent privacy limitations of decentralized contact tracing apps. (),.

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