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dc.creatorAbubakar Suleiman, Ahmad
dc.creatorSuleiman, Aminu
dc.creatorAbdullahi, Usman Aliyu
dc.creatorSuleiman, Suleiman Abubakar
dc.date.accessioned2020-09-25T21:07:43Z
dc.date.available2020-09-25T21:07:43Z
dc.date.created2020
dc.identifier.issn2590-0536spa
dc.identifier.otherhttp://dx.doi.org/10.1016/j.bsheal.2020.09.003spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/13837
dc.description.abstractFollowing the emergence of COVID-19 outbreak, numbers of studies have been conducted to curtail the global spread of the virus by identifying epidemiological changes of the disease through developing statistical models, estimation of the basic reproduction number, displaying the daily reports of confirmed and deaths cases, which are closely related to the present study. Reliable and comprehensive estimation method of the epidemiological data is required to understand the actual situation of fatalities caused by the epidemic. Case fatality rate (CFR) is one of the cardinal epidemiological parameters that adequately explains epidemiology of the outbreak of a disease. In the present study, we employed two statistical regression models such as the linear and polynomial models in order to estimate the CFR, based on the early phase of COVID-19 outbreak in Nigeria (44 days since first reported COVID-19 death). The estimate of the CFR was determined based on cumulative number of confirmed cases and deaths reported from 23 March to 30 April, 2020. The results from the linear model estimated that the CFR was 3.11% (95% CI: 2.59 – 3.80%) with R2 value of 90% and p-value of < 0.0001. The findings from the polynomial model suggest that the CFR associated with the Nigerian outbreak is 3.0% and may range from 2.23 to 3.42% with R2 value of 93% and p-value of <0.0001. Therefore, the polynomial regression model with the higher R2 value fits the dataset well and provides better estimate of CFR for the reported COVID-19 cases in Nigeriaspa
dc.format.extent4 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherBiosafety and Healthspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectCoronavirusspa
dc.subjectCOVID-19spa
dc.subjectSARS-CoV-2spa
dc.subjectCase fatality rate (CFR)spa
dc.subjectEpidemiologyspa
dc.subjectRegression analysisspa
dc.titleEstimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysisspa
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.doihttp://dx.doi.org/10.1016/j.bsheal.2020.09.003spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa


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