dc.creatorBrown, Nolan J.
dc.date.accessioned2020-07-27T15:14:45Z
dc.date.accessioned2022-09-23T18:28:33Z
dc.date.available2020-07-27T15:14:45Z
dc.date.available2022-09-23T18:28:33Z
dc.date.created2020-07-27T15:14:45Z
dc.identifier1871-4021
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S1871402120301703?via%3Dihub#kwrds0010
dc.identifierhttp://hdl.handle.net/20.500.12010/11165
dc.identifierhttps://doi.org/10.1016/j.dsx.2020.06.001
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3501581
dc.publisherDiabetes & Metabolic Syndrome: Clinical Research & Reviews
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcereponame:Expeditio Repositorio Institucional UJTL
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozano
dc.subjectPandemia
dc.subjectInteligencia artificial
dc.titleA novel peer-to-peer contact tracking application for COVID-19 and future pandemics


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