Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis

Following 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 con...

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Autores:
Tipo de recurso:
Article of investigation
Fecha de publicación:
2020
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/13837
Acceso en línea:
http://dx.doi.org/10.1016/j.bsheal.2020.09.003
http://hdl.handle.net/20.500.12010/13837
Palabra clave:
Coronavirus
COVID-19
SARS-CoV-2
Case fatality rate (CFR)
Epidemiology
Regression analysis
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
Rights
License
Abierto (Texto Completo)
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oai_identifier_str oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/13837
network_acronym_str UTADEO2
network_name_str Expeditio: repositorio UTadeo
repository_id_str
dc.title.spa.fl_str_mv Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
title Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
spellingShingle Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
Coronavirus
COVID-19
SARS-CoV-2
Case fatality rate (CFR)
Epidemiology
Regression analysis
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
title_short Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
title_full Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
title_fullStr Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
title_full_unstemmed Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
title_sort Estimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysis
dc.subject.spa.fl_str_mv Coronavirus
COVID-19
SARS-CoV-2
Case fatality rate (CFR)
Epidemiology
Regression analysis
topic Coronavirus
COVID-19
SARS-CoV-2
Case fatality rate (CFR)
Epidemiology
Regression analysis
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
dc.subject.lemb.spa.fl_str_mv Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
description Following 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 Nigeria
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-09-25T21:07:43Z
dc.date.available.none.fl_str_mv 2020-09-25T21:07:43Z
dc.date.created.none.fl_str_mv 2020
dc.type.local.spa.fl_str_mv Artículo
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
format http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.issn.spa.fl_str_mv 2590-0536
dc.identifier.other.spa.fl_str_mv http://dx.doi.org/10.1016/j.bsheal.2020.09.003
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/13837
dc.identifier.doi.spa.fl_str_mv http://dx.doi.org/10.1016/j.bsheal.2020.09.003
identifier_str_mv 2590-0536
url http://dx.doi.org/10.1016/j.bsheal.2020.09.003
http://hdl.handle.net/20.500.12010/13837
dc.language.iso.spa.fl_str_mv eng
language eng
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 4 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Biosafety and Health
dc.source.spa.fl_str_mv reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
instname_str Universidad de Bogotá Jorge Tadeo Lozano
institution Universidad de Bogotá Jorge Tadeo Lozano
reponame_str Expeditio Repositorio Institucional UJTL
collection Expeditio Repositorio Institucional UJTL
bitstream.url.fl_str_mv https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13837/2/license.txt
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spelling 2020-09-25T21:07:43Z2020-09-25T21:07:43Z20202590-0536http://dx.doi.org/10.1016/j.bsheal.2020.09.003http://hdl.handle.net/20.500.12010/13837http://dx.doi.org/10.1016/j.bsheal.2020.09.003Following 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 Nigeria4 páginasapplication/pdfengBiosafety and Healthreponame:Expeditio Repositorio Institucional UJTLinstname:Universidad de Bogotá Jorge Tadeo LozanoCoronavirusCOVID-19SARS-CoV-2Case fatality rate (CFR)EpidemiologyRegression analysisSíndrome respiratorio agudo graveCOVID-19SARS-CoV-2CoronavirusEstimation of the case fatality rate of COVID-19 epidemiological data in Nigeria using statistical regression analysisArtículohttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Abubakar Suleiman, AhmadSuleiman, AminuAbdullahi, Usman AliyuSuleiman, Suleiman AbubakarLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13837/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILEstimation-of-the-case-fatality-rate-of-COVID-19-epidemiolog_2020_Biosafety-.pdf.jpgEstimation-of-the-case-fatality-rate-of-COVID-19-epidemiolog_2020_Biosafety-.pdf.jpgIM Thumbnailimage/jpeg22680https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13837/3/Estimation-of-the-case-fatality-rate-of-COVID-19-epidemiolog_2020_Biosafety-.pdf.jpg303bd41fb5a893a16cf2d816328c93c7MD53open access20.500.12010/13837oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/138372021-03-17 20:24:17.16metadata only accessRepositorio Institucional - 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