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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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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

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Título: A methodology for evaluating digital contact tracing apps based on the COVID-19 experience
Autor: Hernández-Orallo, Enrique Manzoni, Pietro Tavares De Araujo Cesariny Calafate, Carlos Miguel Cano, Juan-Carlos
Entidad UPV: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Mobile computing , Opportunistic networking , Mobile crowdsensing , Digital epidemiology , COVID-19 , Epidemic modeling
Derechos de uso: Reconocimiento (by)
Fuente:
Scientific Reports. (issn: 2045-2322 )
DOI: 10.1038/s41598-022-17024-2
Editorial:
Nature Publishing Group
Versión del editor: https://doi.org/10.1038/s41598-022-17024-2
Coste APC: 1945 €
Código del Proyecto:
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/
Agradecimientos:
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".
Tipo: Artículo

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