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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/221708
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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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 Técnicas2025-09-29T10:37:03Zoai: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:34982025-09-29 10:37:03.92CONICET 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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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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 |
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13.070432 |