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dc.creatorKucharski, Adam
dc.date.accessioned2020-08-20T16:31:16Z
dc.date.available2020-08-20T16:31:16Z
dc.date.created2020
dc.identifier.issn9781788160193spa
dc.identifier.otherhttps://doi.org/10.1016/S0140-6736(20)30814-Xspa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/12022
dc.description.abstractI’ve been self-isolating with my family because we developed fevers. Whether this is any illness or coronavirus disease 2019 (COVID-19) is hard to say given the UK Government’s position on community testing. How this infection started, how many people I might have infected, and how adhering to public health guidance to remain at home alters patterns of disease transmission is crucial information. For this knowledge, policy makers need epidemiologists and mathematical models of how diseases spread in different populations, as described by Adam Kucharski in The Rules of Contagion: Why Things Spread— and Why They Stop.spa
dc.format.extent1 páginaspa
dc.format.mimetypeimage/jepgspa
dc.publisherThe Lancetspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectPolitics explainsspa
dc.subjectCOVID-19spa
dc.titleModelling can only tell us so much: politics explains the restspa
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/embargoedAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAcceso restringidospa
dc.identifier.doihttps://doi.org/10.1016/S0140-6736(20)30814-Xspa


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