dc.creator | Brown, Nolan J. | |
dc.date.accessioned | 2020-07-27T15:14:45Z | |
dc.date.accessioned | 2022-09-23T18:28:33Z | |
dc.date.available | 2020-07-27T15:14:45Z | |
dc.date.available | 2022-09-23T18:28:33Z | |
dc.date.created | 2020-07-27T15:14:45Z | |
dc.identifier | 1871-4021 | |
dc.identifier | https://www.sciencedirect.com/science/article/pii/S1871402120301703?via%3Dihub#kwrds0010 | |
dc.identifier | http://hdl.handle.net/20.500.12010/11165 | |
dc.identifier | https://doi.org/10.1016/j.dsx.2020.06.001 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3501581 | |
dc.publisher | Diabetes & Metabolic Syndrome: Clinical Research & Reviews | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | reponame:Expeditio Repositorio Institucional UJTL | |
dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | |
dc.subject | Pandemia | |
dc.subject | Inteligencia artificial | |
dc.title | A novel peer-to-peer contact tracking application for COVID-19 and future pandemics | |