Covid-19 and tracing methodologies: A lesson for the future society
| Autor: | Marijn Martens, Ralf De Wolf, Teresa Scantamburlo, Daphné Van der Eycken, Pierre Dewitte, Atia Cortés |
|---|---|
| Přispěvatelé: | Barcelona Supercomputing Center |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Biomedical Engineering Globe Bioengineering 02 engineering and technology Plan (drawing) Tracing Applied Microbiology and Biotechnology COVID-19 (Malaltia) 03 medical and health sciences 0302 clinical medicine COVID-19 (Disease) Political science 0202 electrical engineering electronic engineering information engineering medicine Data Protection Act 1998 030212 general & internal medicine Informàtica::Aspectes socials [Àrees temàtiques de la UPC] Data protection Review Paper Science & Technology Settore INF/01 - Informatica business.industry Social impact Applications in technology Public relations 3. Good health Coronavirus medicine.anatomical_structure Privacy Contact tracing methodologies 020201 artificial intelligence & image processing Form of the Good business Covid-19 Life Sciences & Biomedicine Medical Informatics Biotechnology |
| Zdroj: | Health and Technology UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | As the new coronavirus (SARS-CoV-2) surged across the globe, new technical solutions have supported policy makers and health authorities to plan and modulate containment measures. The introduction of these solutions provoked a large debate which has focused on risks for privacy and data protection. In this paper we offer an analysis of the available technical approaches and provide new arguments to move beyond the ongoing discussions. In particular, we argue that the past debate missed the opportunity to highlight the societal aspects of privacy and to stimulate a broader reflection on the actions needed to serve the good of society. With this paper, as well as providing an accessible review of the technical and legal aspects of the proposed solutions, we aim to offer new stimuli to reconsider contact tracing and its role in helping countries navigate the current pandemic. Open access funding provided by Università Ca' Foscari Venezia within the CRUI-CARE Agreement. Atia Cortés and Teresa Scantamburlo are supported by the project A European AI On Demand Platform and Ecosystem (AI4EU) H2020-ICT-26 #825619. The views expressed in this paper are not necessarily those of the consortium AI4EU. |
| Databáze: | OpenAIRE |
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