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dc.creatorDavies, Nicholas G.
dc.creatorKlepac, Petra
dc.creatorLiu, Yang
dc.creatorPrem, Kiesha
dc.creatorJit, Mark
dc.creatorEggo, Rosalind M.
dc.date.accessioned2020-07-17T15:35:18Z
dc.date.available2020-07-17T15:35:18Z
dc.date.created2020-06-16
dc.identifier.issn1546-170Xspa
dc.identifier.otherhttps://www.nature.com/articles/s41591-020-0962-9spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/10744
dc.format.extent22 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.publisherScience Directeng
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectCOVID-19spa
dc.titleAge-dependent effects in the transmission and control of COVID-19 epidemicsspa
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.subject.keywordCOVID-19spa
dc.identifier.doihttps://doi.org/10.1038/s41591-020-0962-9spa
dc.description.abstractenglishThe COVID-19 pandemic has shown a markedly low proportion of cases among children1,2,3,4. Age disparities in observed cases could be explained by children having lower susceptibility to infection, lower propensity to show clinical symptoms or both. We evaluate these possibilities by fitting an age-structured mathematical model to epidemic data from China, Italy, Japan, Singapore, Canada and South Korea. We estimate that susceptibility to infection in individuals under 20 years of age is approximately half that of adults aged over 20 years, and that clinical symptoms manifest in 21% (95% credible interval: 12–31%) of infections in 10- to 19-year-olds, rising to 69% (57–82%) of infections in people aged over 70 years. Accordingly, we find that interventions aimed at children might have a relatively small impact on reducing SARS-CoV-2 transmission, particularly if the transmissibility of subclinical infections is low. Our age-specific clinical fraction and susceptibility estimates have implications for the expected global burden of COVID-19, as a result of demographic differences across settings. In countries with younger population structures—such as many low-income countries—the expected per capita incidence of clinical cases would be lower than in countries with older population structures, although it is likely that comorbidities in low-income countries will also influence disease severity. Without effective control measures, regions with relatively older populations could see disproportionally more cases of COVID-19, particularly in the later stages of an unmitigated epidemic.spa


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