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Evaluating the Effectiveness of COVID-19 Bluetooth-Based Smartphone Contact Tracing Applications

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Evaluating the Effectiveness of COVID-19 Bluetooth-Based Smartphone Contact Tracing Applications

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dc.contributor.author Hernández-Orallo, Enrique es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.date.accessioned 2021-03-10T04:31:42Z
dc.date.available 2021-03-10T04:31:42Z
dc.date.issued 2020-10 es_ES
dc.identifier.uri http://hdl.handle.net/10251/163589
dc.description.abstract [EN] One of the strategies to control the spread of infectious diseases is based on the use of specialized applications for smartphones. These apps offer the possibility, once individuals are detected to be infected, to trace their previous contacts in order to test and detect new possibly-infected individuals. This paper evaluates the effectiveness of recently developed contact tracing smartphone applications for COVID-19 that rely on Bluetooth to detect contacts. We study how these applications work in order to model the main aspects that can affect their performance: precision, utilization, tracing speed and implementation model (centralized vs. decentralized). Then, we propose an epidemic model to evaluate their efficiency in terms of controlling future outbreaks and the effort required (e.g., individuals quarantined). Our results show that smartphone contact tracing can only be effective when combined with other mild measures that can slightly reduce the reproductive number R0 (for example, social distancing). Furthermore, we have found that a centralized model is much more effective, requiring an application utilization percentage of about 50% to control an outbreak. On the contrary, a decentralized model would require a higher utilization to be effective. es_ES
dc.description.sponsorship This work was partially supported by the "Ministerio de Ciencia, Innovacion y Universidades, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018", Spain, under Grant RTI2018-096384-B-I00. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Digital epidemiology es_ES
dc.subject COVID-19 es_ES
dc.subject Mobile computing es_ES
dc.subject Opportunistic networking es_ES
dc.subject Mobile crowdsensing es_ES
dc.subject Epidemic modeling es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Evaluating the Effectiveness of COVID-19 Bluetooth-Based Smartphone Contact Tracing Applications es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app10207113 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Hernández-Orallo, E.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2020). Evaluating the Effectiveness of COVID-19 Bluetooth-Based Smartphone Contact Tracing Applications. Applied Sciences. 10(20):1-19. https://doi.org/10.3390/app10207113 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app10207113 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 20 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\419270 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
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