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Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing

dc.contributor.authorGarcía Olaizola, Igor
dc.contributor.authorBruse, Jan Lukas
dc.contributor.authorOdriozola, Juan
dc.contributor.authorArtetxe Ballejo, Arkaitz
dc.contributor.authorVelásquez, David
dc.contributor.authorQuartulli, Marco ORCID
dc.contributor.authorPosada Velázquez, Jorge León
dc.date.accessioned2023-04-05T18:01:50Z
dc.date.available2023-04-05T18:01:50Z
dc.date.issued2023-01
dc.identifier.citationIEEE Computer Graphics and Applications 43(1) : 53-64(2023)es_ES
dc.identifier.issn0272-1716
dc.identifier.issn1558-1756
dc.identifier.urihttp://hdl.handle.net/10810/60626
dc.description.abstractThe COVID-19 pandemic and its dramatic worldwide impact has required global multidisciplinary actions to mitigate its effects. Mobile phone activity-based digital contact tracing (DCT) via Bluetooth low energy technology has been considered a powerful pandemic monitoring tool, yet it sparked a controversial debate about privacy risks for people. In order to explore the potential benefits of a DCT system in the context of occupational risk prevention, this article presents the potential of visual analytics methods to summarize and extract relevant information from complex DCT data collected during a long-term experiment at our research center. Visual tools were combined with quantitative metrics to provide insights into contact patterns among volunteers. Results showed that crucial actors, such as participants acting as bridges between groups could be easily identified—ultimately allowing for making more informed management decisions aimed at containing the potential spread of a disease.es_ES
dc.description.sponsorshipThis research work has been carried out within the context of the RAPIDm initiative, fostered by the Basque Government as part of the fast reaction program (PRAP Euskadi, led by SPRI—the entity of the Economic Development, Sustainability, and Environment Department of the Basque Government for promoting the Basque industry) with the aim to boost the Basque industrial sector by maintaining the productive activity in the context of the threat of the COVID-19 pandemic. Three research centers of BRTAn (Basque Research and Technology Alliance) have collaborated in this R&D initiative: Tecnalia, Ikerlan, and Vicomtech. Among the different research lines carried out in the RAPID initiative, Vicomtech has been responsible for the centralized BLE-based DCT system and visual analytics of the obtained data which has been selected as one of the representative cases by the OECDo of pandemic reaction report.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectdata visualizationes_ES
dc.subjectdiseaseses_ES
dc.subjectCOVID-19es_ES
dc.subjectpandemicses_ES
dc.subjectmonitoringes_ES
dc.subjectmobile handsetses_ES
dc.subjectmeasurementes_ES
dc.subjectvisual analyticses_ES
dc.subjectBluetoothes_ES
dc.subjectprivacyes_ES
dc.titleVisual Analytics Platform for Centralized COVID-19 Digital Contact Tracinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecom- mons.org/licenses/by/4.0/es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9992065es_ES
dc.identifier.doi10.1109/MCG.2022.3230328
dc.departamentoesCiencia de la computación e inteligencia artificiales_ES
dc.departamentoeuKonputazio zientziak eta adimen artifizialaes_ES


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This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecom- mons.org/licenses/by/4.0/
Bestelakorik adierazi ezean, itemaren baimena horrela deskribatzen da:This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecom- mons.org/licenses/by/4.0/