Articles producció científica> Enginyeria Informàtica i Matemàtiques

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

  • Identification data

    Identifier: imarina:6285443
    Handle: https://hdl.handle.net/20.500.11797/imarina6285443
    Authors:
    Nanni, MircoAndrienko, GennadyBarabasi, Albert-LaszloBoldrini, ChiaraBonchi, FrancescoCattuto, CiroChiaromonte, FrancescaComande, GiovanniConti, MarcoCote, MarkDignum, FrankDignum, VirginiaDomingo-Ferrer, JosepFerragina, PaoloGiannotti, FoscaGuidotti, RiccardoHelbing, DirkKaski, KimmoKertesz, JanosLehmann, SuneLepri, BrunoLukowicz, PaulMatwin, StanJimenez, David MegiasMonreale, AnnaMorik, KatharinaOliver, NuriaPassarella, AndreaPasserini, AndreaPedreschi, DinoPentland, AlexPianesi, FabioPratesi, FrancescaRinzivillo, SalvatoreRuggieri, SalvatoreSiebes, ArnoTorra, VicencTrasarti, Robertovan den Hoven, JeroenVespignani, Alessandro
    Abstract:
    © 2020, University of Skovde. All rights reserved. The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: It allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow

  • Others:

    Author, as appears in the article.: Nanni, Mirco; Andrienko, Gennady; Barabasi, Albert-Laszlo; Boldrini, Chiara; Bonchi, Francesco; Cattuto, Ciro; Chiaromonte, Francesca; Comande, Giovanni; Conti, Marco; Cote, Mark; Dignum, Frank; Dignum, Virginia; Domingo-Ferrer, Josep; Ferragina, Paolo; Giannotti, Fosca; Guidotti, Riccardo; Helbing, Dirk; Kaski, Kimmo; Kertesz, Janos; Lehmann, Sune; Lepri, Bruno; Lukowicz, Paul; Matwin, Stan; Jimenez, David Megias; Monreale, Anna; Morik, Katharina; Oliver, Nuria; Passarella, Andrea; Passerini, Andrea; Pedreschi, Dino; Pentland, Alex; Pianesi, Fabio; Pratesi, Francesca; Rinzivillo, Salvatore; Ruggieri, Salvatore; Siebes, Arno; Torra, Vicenc; Trasarti, Roberto; van den Hoven, Jeroen; Vespignani, Alessandro
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Domingo Ferrer, Josep
    Keywords: Personal data store Mobility data analysis Covid-19 Contact tracing
    Abstract: © 2020, University of Skovde. All rights reserved. The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: It allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allowthe user to share spatio-temporal aggregates-if and when they want and for specific aims-with health authorities, for instance. Second, we favour a longerterm pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society.
    Thematic Areas: Statistics and probability Software Computer science, theory & methods Ciência da computação
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 2013-1631
    Author's mail: josep.domingo@urv.cat
    Author identifier: 0000-0001-7213-4962
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: http://www.tdp.cat/issues16/abs.a389a20.php
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Transactions On Data Privacy. 13 (1): 61-66
    APA: Nanni, Mirco; Andrienko, Gennady; Barabasi, Albert-Laszlo; Boldrini, Chiara; Bonchi, Francesco; Cattuto, Ciro; Chiaromonte, Francesca; Comande, Giovan (2020). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Transactions On Data Privacy, 13(1), 61-66
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications

  • Keywords:

    Computer Science, Theory & Methods,Software,Statistics and Probability
    Personal data store
    Mobility data analysis
    Covid-19
    Contact tracing
    Statistics and probability
    Software
    Computer science, theory & methods
    Ciência da computação

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