Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands

Autores
Santillán Lima, Juan Carlos; Molina Granja, Fernando; Santillán Lima, Patricio; Caichug Rivera, Daniela Margoth; Lozada Yánez, Raúl; Luna Encalada, Washington
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
INTRODUCTION: A problem plaguing humanity is the countless deaths from COVID-19. Conducting a statistical study based on deaths data during the pandemic will allow us to identify the age groups most vulnerable to death. This information can be used by public and private health organizations to take preventive measures in the most vulnerable population. OBJECTIVES: To determine the age groups most vulnerable to COVID 19 in the Ecuadorian highlands during the periods 2020-2021. METHODS: The "Bootstrap method to calculate the confidence interval for proportions" was applied to the age groups of those who died from COVID in the Ecuadorian highlands in 2020 and 2021. The method is implemented in R Studio. RESULTS: The adjusted confidence intervals suggest that there is a 95% confidence that the age group most prone to death from COVID-19 is the Elderly with a point estimate of 72.70% in 2020 and 76.61% in 2021. The main subgroup of 80 to 90 years followed by 65 to 70 years. CONCLUSION: Adjusted confidence intervals indicate that there is a 95% confidence that the age subgroup most prone to death from COVID-19 is 80 to 90 years with a point estimate of 16.13% in 2020 and 16.85% in 2021. And 65 to 70 years with a point estimate of 12.98% in 2020 and 12.57% in 2021.
Fil: Santillán Lima, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Molina Granja, Fernando. Universidad Nacional de Chimborazo; Ecuador
Fil: Santillán Lima, Patricio. Universidad Nacional de Chimborazo; Ecuador
Fil: Caichug Rivera, Daniela Margoth. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Química. Laboratorio de Estudio de Compuestos Orgánicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Lozada Yánez, Raúl. Escuela Superior Politécnica de Chimborazo; Ecuador
Fil: Luna Encalada, Washington. Escuela Superior Politécnica de Chimborazo; Ecuador
Materia
BOOTSTRAP BY PROPORTIONS
CONFIDENCE INTERVALS
COVID-19
DEATH FROM COVID-19
ELDERLY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/221708
Acceder
id CONICETDig_37e2951ecc7480258f11d5da67020bb1
oai_identifier_str oai:ri.conicet.gov.ar:11336/221708
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Statistical determination of COVID-19 mortality in age groups in the Ecuadorian HighlandsSantillán Lima, Juan CarlosMolina Granja, FernandoSantillán Lima, PatricioCaichug Rivera, Daniela MargothLozada Yánez, RaúlLuna Encalada, WashingtonBOOTSTRAP BY PROPORTIONSCONFIDENCE INTERVALSCOVID-19DEATH FROM COVID-19ELDERLYhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1INTRODUCTION: A problem plaguing humanity is the countless deaths from COVID-19. Conducting a statistical study based on deaths data during the pandemic will allow us to identify the age groups most vulnerable to death. This information can be used by public and private health organizations to take preventive measures in the most vulnerable population. OBJECTIVES: To determine the age groups most vulnerable to COVID 19 in the Ecuadorian highlands during the periods 2020-2021. METHODS: The "Bootstrap method to calculate the confidence interval for proportions" was applied to the age groups of those who died from COVID in the Ecuadorian highlands in 2020 and 2021. The method is implemented in R Studio. RESULTS: The adjusted confidence intervals suggest that there is a 95% confidence that the age group most prone to death from COVID-19 is the Elderly with a point estimate of 72.70% in 2020 and 76.61% in 2021. The main subgroup of 80 to 90 years followed by 65 to 70 years. CONCLUSION: Adjusted confidence intervals indicate that there is a 95% confidence that the age subgroup most prone to death from COVID-19 is 80 to 90 years with a point estimate of 16.13% in 2020 and 16.85% in 2021. And 65 to 70 years with a point estimate of 12.98% in 2020 and 12.57% in 2021.Fil: Santillán Lima, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Molina Granja, Fernando. Universidad Nacional de Chimborazo; EcuadorFil: Santillán Lima, Patricio. Universidad Nacional de Chimborazo; EcuadorFil: Caichug Rivera, Daniela Margoth. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Química. Laboratorio de Estudio de Compuestos Orgánicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Lozada Yánez, Raúl. Escuela Superior Politécnica de Chimborazo; EcuadorFil: Luna Encalada, Washington. Escuela Superior Politécnica de Chimborazo; EcuadorEuropean Alliance for Innovation2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/221708Santillán Lima, Juan Carlos; Molina Granja, Fernando; Santillán Lima, Patricio; Caichug Rivera, Daniela Margoth; Lozada Yánez, Raúl; et al.; Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands; European Alliance for Innovation; EAI Endorsed Transactions on Pervasive Health and Technology; 9; 1; 5-2023; 1-72411-7145CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.4108/eetpht.9.4133info:eu-repo/semantics/altIdentifier/url/https://publications.eai.eu/index.php/phat/article/view/4133info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:09:16Zoai:ri.conicet.gov.ar:11336/221708instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:09:17.207CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
title Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
spellingShingle Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
Santillán Lima, Juan Carlos
BOOTSTRAP BY PROPORTIONS
CONFIDENCE INTERVALS
COVID-19
DEATH FROM COVID-19
ELDERLY
title_short Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
title_full Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
title_fullStr Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
title_full_unstemmed Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
title_sort Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands
dc.creator.none.fl_str_mv Santillán Lima, Juan Carlos
Molina Granja, Fernando
Santillán Lima, Patricio
Caichug Rivera, Daniela Margoth
Lozada Yánez, Raúl
Luna Encalada, Washington
author Santillán Lima, Juan Carlos
author_facet Santillán Lima, Juan Carlos
Molina Granja, Fernando
Santillán Lima, Patricio
Caichug Rivera, Daniela Margoth
Lozada Yánez, Raúl
Luna Encalada, Washington
author_role author
author2 Molina Granja, Fernando
Santillán Lima, Patricio
Caichug Rivera, Daniela Margoth
Lozada Yánez, Raúl
Luna Encalada, Washington
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv BOOTSTRAP BY PROPORTIONS
CONFIDENCE INTERVALS
COVID-19
DEATH FROM COVID-19
ELDERLY
topic BOOTSTRAP BY PROPORTIONS
CONFIDENCE INTERVALS
COVID-19
DEATH FROM COVID-19
ELDERLY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv INTRODUCTION: A problem plaguing humanity is the countless deaths from COVID-19. Conducting a statistical study based on deaths data during the pandemic will allow us to identify the age groups most vulnerable to death. This information can be used by public and private health organizations to take preventive measures in the most vulnerable population. OBJECTIVES: To determine the age groups most vulnerable to COVID 19 in the Ecuadorian highlands during the periods 2020-2021. METHODS: The "Bootstrap method to calculate the confidence interval for proportions" was applied to the age groups of those who died from COVID in the Ecuadorian highlands in 2020 and 2021. The method is implemented in R Studio. RESULTS: The adjusted confidence intervals suggest that there is a 95% confidence that the age group most prone to death from COVID-19 is the Elderly with a point estimate of 72.70% in 2020 and 76.61% in 2021. The main subgroup of 80 to 90 years followed by 65 to 70 years. CONCLUSION: Adjusted confidence intervals indicate that there is a 95% confidence that the age subgroup most prone to death from COVID-19 is 80 to 90 years with a point estimate of 16.13% in 2020 and 16.85% in 2021. And 65 to 70 years with a point estimate of 12.98% in 2020 and 12.57% in 2021.
Fil: Santillán Lima, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Molina Granja, Fernando. Universidad Nacional de Chimborazo; Ecuador
Fil: Santillán Lima, Patricio. Universidad Nacional de Chimborazo; Ecuador
Fil: Caichug Rivera, Daniela Margoth. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Química. Laboratorio de Estudio de Compuestos Orgánicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Lozada Yánez, Raúl. Escuela Superior Politécnica de Chimborazo; Ecuador
Fil: Luna Encalada, Washington. Escuela Superior Politécnica de Chimborazo; Ecuador
description INTRODUCTION: A problem plaguing humanity is the countless deaths from COVID-19. Conducting a statistical study based on deaths data during the pandemic will allow us to identify the age groups most vulnerable to death. This information can be used by public and private health organizations to take preventive measures in the most vulnerable population. OBJECTIVES: To determine the age groups most vulnerable to COVID 19 in the Ecuadorian highlands during the periods 2020-2021. METHODS: The "Bootstrap method to calculate the confidence interval for proportions" was applied to the age groups of those who died from COVID in the Ecuadorian highlands in 2020 and 2021. The method is implemented in R Studio. RESULTS: The adjusted confidence intervals suggest that there is a 95% confidence that the age group most prone to death from COVID-19 is the Elderly with a point estimate of 72.70% in 2020 and 76.61% in 2021. The main subgroup of 80 to 90 years followed by 65 to 70 years. CONCLUSION: Adjusted confidence intervals indicate that there is a 95% confidence that the age subgroup most prone to death from COVID-19 is 80 to 90 years with a point estimate of 16.13% in 2020 and 16.85% in 2021. And 65 to 70 years with a point estimate of 12.98% in 2020 and 12.57% in 2021.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/221708
Santillán Lima, Juan Carlos; Molina Granja, Fernando; Santillán Lima, Patricio; Caichug Rivera, Daniela Margoth; Lozada Yánez, Raúl; et al.; Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands; European Alliance for Innovation; EAI Endorsed Transactions on Pervasive Health and Technology; 9; 1; 5-2023; 1-7
2411-7145
CONICET Digital
CONICET
url http://hdl.handle.net/11336/221708
identifier_str_mv Santillán Lima, Juan Carlos; Molina Granja, Fernando; Santillán Lima, Patricio; Caichug Rivera, Daniela Margoth; Lozada Yánez, Raúl; et al.; Statistical determination of COVID-19 mortality in age groups in the Ecuadorian Highlands; European Alliance for Innovation; EAI Endorsed Transactions on Pervasive Health and Technology; 9; 1; 5-2023; 1-7
2411-7145
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.4108/eetpht.9.4133
info:eu-repo/semantics/altIdentifier/url/https://publications.eai.eu/index.php/phat/article/view/4133
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv European Alliance for Innovation
publisher.none.fl_str_mv European Alliance for Innovation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782469652611072
score 12.982451

Publicaciones similares