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Delineating privacy aspects of Covid tracing applications embedded with proximity measurement technologies & digital technologies

Bibliographic Data

ID11238024
AuthorsTahereh Saheb (0000-0002-6426-609X, Tarbiat Modares University, corresponding author), Elham Sabour (0000-0002-3276-2136, Tarbiat Modares University), Fatimah Qanbary (0000-0003-2525-3138, Tarbiat Modares University), Tayebeh Saheb (Tarbiat Modares University)
Year2022
Volume69
Pages101968
Publication date2022-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTechnology in Society (JOURNAL)
Journal identifiersISSN: 0160-791X • E-ISSN: 1879-3274
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techsoc.2022.101968
PMID35342210
OpenAlexW4221091563
LanguageEN
Citations received8
References cited100

Business · Computer security · Coronavirus disease 2019 (COVID-19 · Data Protection Act 1998 · Delphi method · Derogation · Distrust · Emerging technologies · General partnership · Information privacy · Internet privacy · Pandemic · Political science · Privacy law · Privacy policy · Public relations · Computer Science · COVID-19 Digital Contact Tracing · Law · Medicine · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection

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Unique citing works8
Citations per year2
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae