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

被引：0

作者：

Nanni, Mirco ^{[1
]}

Andrienko, Gennady ^{[2
,3
]}

Barabasi, Albert-Laszlo ^{[4
]}

Boldrini, Chiara ^{[5
]}

Bonchi, Francesco ^{[6
,7
]}

Cattuto, Ciro ^{[6
,8
]}

Chiaromonte, Francesca ^{[9
,10
]}

Comande, Giovanni ^{[9
]}

Conti, Marco ^{[5
]}

Cote, Mark ^{[11
]}

Dignum, Frank ^{[12
]}

Dignum, Virginia ^{[12
]}

Domingo-Ferrer, Josep ^{[13
]}

Ferragina, Paolo ^{[14
]}

Giannotti, Fosca ^{[1
]}

Guidotti, Riccardo ^{[14
]}

Helbing, Dirk ^{[15
]}

Kaski, Kimmo ^{[16
]}

Kertesz, Janos ^{[17
]}

Lehmann, Sune ^{[18
]}

Lepri, Bruno ^{[19
]}

Lukowicz, Paul ^{[20
]}

Matwin, Stan ^{[21
,22
]}

Jimenez, David Megias ^{[23
]}

Monreale, Anna ^{[14
]}

Morik, Katharina ^{[24
]}

Oliver, Nuria ^{[25
,26
]}

Passarella, Andrea ^{[5
]}

Passerini, Andrea ^{[27
]}

Pedreschi, Dino ^{[14
]}

Pentland, Alex ^{[28
]}

Pianesi, Fabio ^{[29
]}

Pratesi, Francesca ^{[14
]}

Rinzivillo, Salvatore ^{[1
]}

Ruggieri, Salvatore ^{[14
]}

Siebes, Arno ^{[30
]}

Torra, Vicenc ^{[31
,32
]}

Trasarti, Roberto ^{[1
]}

van den Hoven, Jeroen ^{[33
]}

Vespignani, Alessandro ^{[4
]}

机构：

[1] CNR, ISTI, Rome, Italy

[2] IAIS Fraunhofer, Fraunhofer, Germany

[3] City Univ London, London, England

[4] Northeastern Univ, Boston, MA 02115 USA

[5] CNR, IIT, Rome, Italy

[6] ISI Fdn, Fraunhofer, Germany

[7] Eurecat, Randedi, Spain

[8] Univ Turin, Turin, Italy

[9] St Anna Sch Adv Studies, Pisa, Italy

[10] Penn State Univ, University Pk, PA 16802 USA

[11] Kings Coll London, London, England

[12] Umea Univ, Umea, Sweden

[13] Univ Rovira & Virgili, Catalonia, Italy

[14] Univ Pisa, Pisa, Italy

[15] Swiss Fed Inst Technol, Zurich, Switzerland

[16] Aalto Univ, Sch Sci, Espoo, Finland

[17] Cent European Univ, Budapest, Hungary

[18] Tech Univ Denmark, Lyngby, Denmark

[19] FBK, Trento, Italy

[20] DFKI, Kaiserslautern, Germany

[21] Dalhousie Univ, Halifax, NS, Canada

[22] Polish Acad Sci, Warsaw, Poland

[23] Univ Oberta Catalunya, Barcelona, Spain

[24] TU Dortmund Univ, Dortmund, Germany

[25] ELLIS Alicante, Alicante, Spain

[26] Data Pop Alliance, Alliance, OH USA

[27] Univ Trento, Trento, Italy

[28] MIT, Cambridge, MA 02139 USA

[29] EIT Digital, Trento, Italy

[30] Univ Utrecht, Utrecht, Netherlands

[31] Maynooth Univ, Maynooth, Kildare, Ireland

[32] Univ Skovde, Skovde, Sweden

[33] Delft Univ Technol, Delft, Netherlands

来源：

TRANSACTIONS ON DATA PRIVACY | 2020年 / 13卷 / 01期

关键词：

COVID-19; Personal Data Store; mobility data analysis; contact tracing;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：61 / 66

页数：6