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dc.creatorDesjardins, Michael R.
dc.date.accessioned2020-10-16T17:04:54Z
dc.date.available2020-10-16T17:04:54Z
dc.date.created2020
dc.identifier.issn2666-6065spa
dc.identifier.otherhttps://doi.org/10.1016/j.lanwpc.2020.100024spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/14509
dc.description.abstractAs of August 20, 2020, COVID-19 has caused ~22.4 million co nfirmed cases and over 789,000 confirmed deaths, globally [1]. However, the global case and death counts are likely much higher due to a variety of factors, such as misdiagnoses during the early stages of the pandemic, testing disparities, and high rates of asymptomatic carriers (up to 50%) of the SARS-CoV-2 virus [2]. Surveillance of COVID-19 has largely relied on confirmed case and death statistics, contact tracing, and projections via epidemiological modeling [3,4]. Furthermore, the timeliness of data availability often suffers from reporting delays due to the incubation period, testing lags, and othersspa
dc.format.extent2 páginasspa
dc.format.mimetypetext/htmlspa
dc.language.isoengspa
dc.publisherThe Lancet Regional Health - Western Pacificspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectSyndromic surveillancespa
dc.subjectCOVID-19spa
dc.subjectUsing crowdsourced dataspa
dc.titleSyndromic surveillance of COVID-19 using crowdsourced dataspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doihttps://doi.org/10.1016/j.lanwpc.2020.100024spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa


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