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Inherent privacy limitations of decentralized contact tracing apps.
Bengio, Yoshua; Ippolito, Daphne; Janda, Richard; Jarvie, Max; Prud'homme, Benjamin; Rousseau, Jean-François; Sharma, Abhinav; Yu, Yun William.
  • Bengio Y; Université de Montréal, Montreal, Quebec, Canada.
  • Ippolito D; Montreal Institute for Learning Algorithms, Montreal, Quebec, Canada.
  • Janda R; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Jarvie M; Faculty of Law, McGill University, Montreal, Quebec, Canada.
  • Prud'homme B; Borden Ladner Gervais LLP, Montreal, Quebec, Canada.
  • Rousseau JF; Montreal Institute for Learning Algorithms, Montreal, Quebec, Canada.
  • Sharma A; Libeo, Quebec City, Quebec, Canada.
  • Yu YW; Centre for Outcome Research and Evaluation, McGill University Health Centre, Montreal, Quebec, Canada.
J Am Med Inform Assoc ; 28(1): 193-195, 2021 01 15.
Article in English | MEDLINE | ID: covidwho-1066358
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 (severe acute respiratory syndrome coronavirus 2) (COVID-19 [coronavirus disease 2019]) 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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / Privacy / Mobile Applications / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / Privacy / Mobile Applications / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia