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A methodology for evaluating digital contact tracing apps based on the COVID-19 experience

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A methodology for evaluating digital contact tracing apps based on the COVID-19 experience

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dc.contributor.author Hernández-Orallo, Enrique es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.date.accessioned 2023-05-12T18:01:46Z
dc.date.available 2023-05-12T18:01:46Z
dc.date.issued 2022-07-26 es_ES
dc.identifier.issn 2045-2322 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193311
dc.description.abstract [EN] Controlling the spreading of infectious diseases has been shown crucial in the COVID-19 pandemic. Traditional contact tracing is used to detect newly infected individuals by tracing their previous contacts, and by selectively checking and isolating any individuals likely to have been infected. Digital contact tracing with the utilisation of smartphones was contrived as a technological aid to improve this manual, slow and tedious process. Nevertheless, despite the high hopes raised when smartphone-based contact tracing apps were introduced as a measure to reduce the spread of the COVID-19, their efficiency has been moderately low. In this paper, we propose a methodology for evaluating digital contact tracing apps, based on an epidemic model, which will be used not only to evaluate the deployed Apps against the COVID-19 but also to determine how they can be improved for future pandemics. Firstly, the model confirms the moderate effectiveness of the deployed digital contact tracing, confirming the fact that it could not be used as the unique measure to fight against the COVID-19, and had to be combined with additional measures. Secondly, several improvements are proposed (and evaluated) to increase the efficiency of digital control tracing to become a more useful tool in the future. es_ES
dc.description.sponsorship This work is derived from R&D project RTI2018-096384-B-I00, funded by MCIN/AEI/10.13039/501100011033 and "ERDF A way of making Europe". es_ES
dc.language Inglés es_ES
dc.publisher Nature Publishing Group es_ES
dc.relation.ispartof Scientific Reports es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Mobile computing es_ES
dc.subject Opportunistic networking es_ES
dc.subject Mobile crowdsensing es_ES
dc.subject Digital epidemiology es_ES
dc.subject COVID-19 es_ES
dc.subject Epidemic modeling es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title A methodology for evaluating digital contact tracing apps based on the COVID-19 experience es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1038/s41598-022-17024-2 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. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Hernández-Orallo, E.; Manzoni, P.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J. (2022). A methodology for evaluating digital contact tracing apps based on the COVID-19 experience. Scientific Reports. 12(1):1-16. https://doi.org/10.1038/s41598-022-17024-2 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1038/s41598-022-17024-2 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 1 es_ES
dc.identifier.pmid 35882975 es_ES
dc.identifier.pmcid PMC9321289 es_ES
dc.relation.pasarela S\469751 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
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