Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic

Descripción del Articulo

Background In this study, we estimated excess all-cause deaths and excess death rates during the COVID-19 pandemic in 25 Peruvian regions, stratified by sex and age group. Design Cross-sectional study. Setting Twenty-five Peruvian regions with complete mortality data. Participants Annual all-cause o...

Descripción completa

Detalles Bibliográficos
Autores: Ramírez Soto, Max Carlos, Ortega-Cáceres, Gutia, Arroyo-Hernández, Hugo
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/5784
Enlace del recurso:https://hdl.handle.net/20.500.12867/5784
http://dx.doi.org/10.1136/bmjopen-2021-057056
Nivel de acceso:acceso abierto
Materia:Mortality
COVID-19
https://purl.org/pe-repo/ocde/ford#3.00.00
id UTPD_da6724bd38f9f46250e7767aaab8263a
oai_identifier_str oai:repositorio.utp.edu.pe:20.500.12867/5784
network_acronym_str UTPD
network_name_str UTP-Institucional
repository_id_str 4782
dc.title.es_PE.fl_str_mv Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
title Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
spellingShingle Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
Ramírez Soto, Max Carlos
Mortality
COVID-19
https://purl.org/pe-repo/ocde/ford#3.00.00
title_short Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
title_full Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
title_fullStr Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
title_full_unstemmed Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
title_sort Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic
author Ramírez Soto, Max Carlos
author_facet Ramírez Soto, Max Carlos
Ortega-Cáceres, Gutia
Arroyo-Hernández, Hugo
author_role author
author2 Ortega-Cáceres, Gutia
Arroyo-Hernández, Hugo
author2_role author
author
dc.contributor.author.fl_str_mv Ramírez Soto, Max Carlos
Ortega-Cáceres, Gutia
Arroyo-Hernández, Hugo
dc.subject.es_PE.fl_str_mv Mortality
COVID-19
topic Mortality
COVID-19
https://purl.org/pe-repo/ocde/ford#3.00.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.00.00
description Background In this study, we estimated excess all-cause deaths and excess death rates during the COVID-19 pandemic in 25 Peruvian regions, stratified by sex and age group. Design Cross-sectional study. Setting Twenty-five Peruvian regions with complete mortality data. Participants Annual all-cause official mortality data set from SINADEF (Sistema Informático Nacional de Defunciones) at the Ministry of Health of Peru for 2017– 2020, disaggregated by age and sex. Main outcome measures Excess deaths and excess death rates (observed deaths vs expected deaths) in 2020 by sex and age (0–29, 30–39, 40 49, 50–59, 60–69, 70–79 and ≥80 years) were estimated using P-score. The ORs for excess mortality were summarised with a randomeffects meta-analysis. Results In the period between January and December 2020, we estimated an excess of 68 608 (117%) deaths in men and 34 742 (69%) deaths in women, corresponding to an excess death rate of 424 per 100 000 men and 211 per 100 000women compared with the expected mortality rate. The number of excess deaths increased with age and was higher in men aged 60–69 years (217%) compared with women (121%). Men between the ages of 40 and 79 years experienced twice the rate of excess deaths compared with the expected rate. In eight regions, excess deaths were higher than 100% in men, and in seven regions excess deaths were higher than 70% in women. Men in eight regions and women in one region had two times increased odds of excess death than the expected mortality. There were differences in excess mortality according to temporal distribution by epidemiological week. Conclusion Approximately 100 000 excess all-cause deaths occurred in 2020 in Peru. Age-stratified excess death rates were higher in men than in women. There was strong excess in geographical and temporal mortality patterns according to region.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-07-27T07:57:12Z
dc.date.available.none.fl_str_mv 2022-07-27T07:57:12Z
dc.date.issued.fl_str_mv 2022
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2044-605
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/5784
dc.identifier.journal.es_PE.fl_str_mv BMJ Open
dc.identifier.doi.none.fl_str_mv http://dx.doi.org/10.1136/bmjopen-2021-057056
identifier_str_mv 2044-605
BMJ Open
url https://hdl.handle.net/20.500.12867/5784
http://dx.doi.org/10.1136/bmjopen-2021-057056
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.ispartofseries.none.fl_str_mv BMJ Open;12:e057056
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv BMJ Publishing Group
dc.publisher.country.es_PE.fl_str_mv GB
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
dc.source.none.fl_str_mv reponame:UTP-Institucional
instname:Universidad Tecnológica del Perú
instacron:UTP
instname_str Universidad Tecnológica del Perú
instacron_str UTP
institution UTP
reponame_str UTP-Institucional
collection UTP-Institucional
bitstream.url.fl_str_mv http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/2/license.txt
http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/1/M.Ramirez_Articulo.pdf
http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/3/M.Ramirez_Articulo.pdf.txt
http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/4/M.Ramirez_Articulo.pdf.jpg
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
6cbdcd1d6c6befa9ac5d200d1d14d3d2
299f1037613f39ff04a2fba1995e9fd3
5315b050935fab8dea00716a6d9ec3ec
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional de la Universidad Tecnológica del Perú
repository.mail.fl_str_mv repositorio@utp.edu.pe
_version_ 1817984831871516672
spelling Ramírez Soto, Max CarlosOrtega-Cáceres, GutiaArroyo-Hernández, Hugo2022-07-27T07:57:12Z2022-07-27T07:57:12Z20222044-605https://hdl.handle.net/20.500.12867/5784BMJ Openhttp://dx.doi.org/10.1136/bmjopen-2021-057056Background In this study, we estimated excess all-cause deaths and excess death rates during the COVID-19 pandemic in 25 Peruvian regions, stratified by sex and age group. Design Cross-sectional study. Setting Twenty-five Peruvian regions with complete mortality data. Participants Annual all-cause official mortality data set from SINADEF (Sistema Informático Nacional de Defunciones) at the Ministry of Health of Peru for 2017– 2020, disaggregated by age and sex. Main outcome measures Excess deaths and excess death rates (observed deaths vs expected deaths) in 2020 by sex and age (0–29, 30–39, 40 49, 50–59, 60–69, 70–79 and ≥80 years) were estimated using P-score. The ORs for excess mortality were summarised with a randomeffects meta-analysis. Results In the period between January and December 2020, we estimated an excess of 68 608 (117%) deaths in men and 34 742 (69%) deaths in women, corresponding to an excess death rate of 424 per 100 000 men and 211 per 100 000women compared with the expected mortality rate. The number of excess deaths increased with age and was higher in men aged 60–69 years (217%) compared with women (121%). Men between the ages of 40 and 79 years experienced twice the rate of excess deaths compared with the expected rate. In eight regions, excess deaths were higher than 100% in men, and in seven regions excess deaths were higher than 70% in women. Men in eight regions and women in one region had two times increased odds of excess death than the expected mortality. There were differences in excess mortality according to temporal distribution by epidemiological week. Conclusion Approximately 100 000 excess all-cause deaths occurred in 2020 in Peru. Age-stratified excess death rates were higher in men than in women. There was strong excess in geographical and temporal mortality patterns according to region.Campus Lima Centroapplication/pdfspaBMJ Publishing GroupGBBMJ Open;12:e057056info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Repositorio Institucional - UTPUniversidad Tecnológica del Perúreponame:UTP-Institucionalinstname:Universidad Tecnológica del Perúinstacron:UTPMortalityCOVID-19https://purl.org/pe-repo/ocde/ford#3.00.00Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemicinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALM.Ramirez_Articulo.pdfM.Ramirez_Articulo.pdfapplication/pdf4364700http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/1/M.Ramirez_Articulo.pdf6cbdcd1d6c6befa9ac5d200d1d14d3d2MD51TEXTM.Ramirez_Articulo.pdf.txtM.Ramirez_Articulo.pdf.txtExtracted texttext/plain37456http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/3/M.Ramirez_Articulo.pdf.txt299f1037613f39ff04a2fba1995e9fd3MD53THUMBNAILM.Ramirez_Articulo.pdf.jpgM.Ramirez_Articulo.pdf.jpgGenerated Thumbnailimage/jpeg25602http://repositorio.utp.edu.pe/bitstream/20.500.12867/5784/4/M.Ramirez_Articulo.pdf.jpg5315b050935fab8dea00716a6d9ec3ecMD5420.500.12867/5784oai:repositorio.utp.edu.pe:20.500.12867/57842023-05-22 12:36:32.536Repositorio Institucional de la Universidad Tecnológica del Perúrepositorio@utp.edu.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
score 13.765981
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).