Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina

Autores
Perner, Mónica Serena; Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; Pacífico, Natalia; Berazategui, Romina; Alazraqui, Marcio; Diez Roux, Ana Victoria
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: The COVID-19 pandemic has shown how intraurban inequalities are likely to reinforce health and social inequalities. Studies at small area level help to visualize social inequialities hidden in large areas as cities or regions. Aim: To describe the spatial patterning of COVID-19 death rates in neighborhoods of the medium-sized city of Bariloche, Argentina, and to explore its relationship with the socioeconomic characteristics of neighborhoods. Methods: We conducted an ecological study in Bariloche, Argentina. The outcome was counts of COVID-19 deaths between June 2020 and May 2022 obtained from the surveillance system and georeferenced to neighborhoods. We estimated crude- and age-adjusted death rates by neighborhood using a Bayesian approach through a Poisson regression that accounts for spatial-autocorrelation via Conditional Autoregressive (CAR) structure. We also analyzed associations of age-adjusted death rates with area-level socioeconomic indicators. Results: Median COVID-19 death rate across neighborhoods was 17.9 (10th/90th percentile of 6.3/35.2) per 10,000 inhabitants. We found lower age-adjusted rates in the city core and western part of the city. The age-adjusted death rate in the most deprived areas was almost double than in the least deprived areas, with an education-related relative index of inequality (RII) of 2.14 (95% CI 1.55 to 2.96). Conclusion: We found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 death rates, with a clear social gradient, and a higher burden in already deprived areas. This highlights the importance of studying inequalities in health outcomes across small areas to inform placed-based interventions.
Fil: Perner, Mónica Serena. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Trotta, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Acharya, Binod. Drexel University; Estados Unidos
Fil: Quick, Harrison. Drexel University; Estados Unidos
Fil: Pacífico, Natalia. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Berazategui, Romina. Hospital Zonal Bariloche; Argentina
Fil: Alazraqui, Marcio. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
Materia
COVID-19
SMALL AREAS
SOCIAL INEQUALITIES
SPATIAL ANALYSIS
URBAN HEALTH
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/219922
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/219922
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, ArgentinaPerner, Mónica SerenaTrotta, AndrésBilal, UsamaAcharya, BinodQuick, HarrisonPacífico, NataliaBerazategui, RominaAlazraqui, MarcioDiez Roux, Ana VictoriaCOVID-19SMALL AREASSOCIAL INEQUALITIESSPATIAL ANALYSISURBAN HEALTHhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background: The COVID-19 pandemic has shown how intraurban inequalities are likely to reinforce health and social inequalities. Studies at small area level help to visualize social inequialities hidden in large areas as cities or regions. Aim: To describe the spatial patterning of COVID-19 death rates in neighborhoods of the medium-sized city of Bariloche, Argentina, and to explore its relationship with the socioeconomic characteristics of neighborhoods. Methods: We conducted an ecological study in Bariloche, Argentina. The outcome was counts of COVID-19 deaths between June 2020 and May 2022 obtained from the surveillance system and georeferenced to neighborhoods. We estimated crude- and age-adjusted death rates by neighborhood using a Bayesian approach through a Poisson regression that accounts for spatial-autocorrelation via Conditional Autoregressive (CAR) structure. We also analyzed associations of age-adjusted death rates with area-level socioeconomic indicators. Results: Median COVID-19 death rate across neighborhoods was 17.9 (10th/90th percentile of 6.3/35.2) per 10,000 inhabitants. We found lower age-adjusted rates in the city core and western part of the city. The age-adjusted death rate in the most deprived areas was almost double than in the least deprived areas, with an education-related relative index of inequality (RII) of 2.14 (95% CI 1.55 to 2.96). Conclusion: We found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 death rates, with a clear social gradient, and a higher burden in already deprived areas. This highlights the importance of studying inequalities in health outcomes across small areas to inform placed-based interventions.Fil: Perner, Mónica Serena. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Trotta, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; ArgentinaFil: Bilal, Usama. Drexel University; Estados UnidosFil: Acharya, Binod. Drexel University; Estados UnidosFil: Quick, Harrison. Drexel University; Estados UnidosFil: Pacífico, Natalia. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; ArgentinaFil: Berazategui, Romina. Hospital Zonal Bariloche; ArgentinaFil: Alazraqui, Marcio. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; ArgentinaFil: Diez Roux, Ana Victoria. Drexel University; Estados UnidosBioMed Central Ltd2023-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/219922Perner, Mónica Serena; Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; et al.; Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina; BioMed Central Ltd; International Journal for Equity in Health; 22; 1; 9-2023; 1-111475-9276CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://equityhealthj.biomedcentral.com/articles/10.1186/s12939-023-02019-winfo:eu-repo/semantics/altIdentifier/doi/10.1186/s12939-023-02019-winfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:00Zoai:ri.conicet.gov.ar:11336/219922instacron: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:34982025-09-03 10:06:00.585CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
title Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
spellingShingle Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
Perner, Mónica Serena
COVID-19
SMALL AREAS
SOCIAL INEQUALITIES
SPATIAL ANALYSIS
URBAN HEALTH
title_short Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
title_full Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
title_fullStr Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
title_full_unstemmed Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
title_sort Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina
dc.creator.none.fl_str_mv Perner, Mónica Serena
Trotta, Andrés
Bilal, Usama
Acharya, Binod
Quick, Harrison
Pacífico, Natalia
Berazategui, Romina
Alazraqui, Marcio
Diez Roux, Ana Victoria
author Perner, Mónica Serena
author_facet Perner, Mónica Serena
Trotta, Andrés
Bilal, Usama
Acharya, Binod
Quick, Harrison
Pacífico, Natalia
Berazategui, Romina
Alazraqui, Marcio
Diez Roux, Ana Victoria
author_role author
author2 Trotta, Andrés
Bilal, Usama
Acharya, Binod
Quick, Harrison
Pacífico, Natalia
Berazategui, Romina
Alazraqui, Marcio
Diez Roux, Ana Victoria
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COVID-19
SMALL AREAS
SOCIAL INEQUALITIES
SPATIAL ANALYSIS
URBAN HEALTH
topic COVID-19
SMALL AREAS
SOCIAL INEQUALITIES
SPATIAL ANALYSIS
URBAN HEALTH
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background: The COVID-19 pandemic has shown how intraurban inequalities are likely to reinforce health and social inequalities. Studies at small area level help to visualize social inequialities hidden in large areas as cities or regions. Aim: To describe the spatial patterning of COVID-19 death rates in neighborhoods of the medium-sized city of Bariloche, Argentina, and to explore its relationship with the socioeconomic characteristics of neighborhoods. Methods: We conducted an ecological study in Bariloche, Argentina. The outcome was counts of COVID-19 deaths between June 2020 and May 2022 obtained from the surveillance system and georeferenced to neighborhoods. We estimated crude- and age-adjusted death rates by neighborhood using a Bayesian approach through a Poisson regression that accounts for spatial-autocorrelation via Conditional Autoregressive (CAR) structure. We also analyzed associations of age-adjusted death rates with area-level socioeconomic indicators. Results: Median COVID-19 death rate across neighborhoods was 17.9 (10th/90th percentile of 6.3/35.2) per 10,000 inhabitants. We found lower age-adjusted rates in the city core and western part of the city. The age-adjusted death rate in the most deprived areas was almost double than in the least deprived areas, with an education-related relative index of inequality (RII) of 2.14 (95% CI 1.55 to 2.96). Conclusion: We found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 death rates, with a clear social gradient, and a higher burden in already deprived areas. This highlights the importance of studying inequalities in health outcomes across small areas to inform placed-based interventions.
Fil: Perner, Mónica Serena. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Trotta, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Acharya, Binod. Drexel University; Estados Unidos
Fil: Quick, Harrison. Drexel University; Estados Unidos
Fil: Pacífico, Natalia. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Berazategui, Romina. Hospital Zonal Bariloche; Argentina
Fil: Alazraqui, Marcio. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
description Background: The COVID-19 pandemic has shown how intraurban inequalities are likely to reinforce health and social inequalities. Studies at small area level help to visualize social inequialities hidden in large areas as cities or regions. Aim: To describe the spatial patterning of COVID-19 death rates in neighborhoods of the medium-sized city of Bariloche, Argentina, and to explore its relationship with the socioeconomic characteristics of neighborhoods. Methods: We conducted an ecological study in Bariloche, Argentina. The outcome was counts of COVID-19 deaths between June 2020 and May 2022 obtained from the surveillance system and georeferenced to neighborhoods. We estimated crude- and age-adjusted death rates by neighborhood using a Bayesian approach through a Poisson regression that accounts for spatial-autocorrelation via Conditional Autoregressive (CAR) structure. We also analyzed associations of age-adjusted death rates with area-level socioeconomic indicators. Results: Median COVID-19 death rate across neighborhoods was 17.9 (10th/90th percentile of 6.3/35.2) per 10,000 inhabitants. We found lower age-adjusted rates in the city core and western part of the city. The age-adjusted death rate in the most deprived areas was almost double than in the least deprived areas, with an education-related relative index of inequality (RII) of 2.14 (95% CI 1.55 to 2.96). Conclusion: We found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 death rates, with a clear social gradient, and a higher burden in already deprived areas. This highlights the importance of studying inequalities in health outcomes across small areas to inform placed-based interventions.
publishDate 2023
dc.date.none.fl_str_mv 2023-09
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/11336/219922
Perner, Mónica Serena; Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; et al.; Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina; BioMed Central Ltd; International Journal for Equity in Health; 22; 1; 9-2023; 1-11
1475-9276
CONICET Digital
CONICET
url http://hdl.handle.net/11336/219922
identifier_str_mv Perner, Mónica Serena; Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; et al.; Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina; BioMed Central Ltd; International Journal for Equity in Health; 22; 1; 9-2023; 1-11
1475-9276
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://equityhealthj.biomedcentral.com/articles/10.1186/s12939-023-02019-w
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12939-023-02019-w
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv BioMed Central Ltd
publisher.none.fl_str_mv BioMed Central Ltd
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
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