COVID health structure index : the vulnerability of Brazilian microregions.

Detalhes bibliográficos
Autor(a) principal: Ferraz, Diogo
Data de Publicação: 2021
Outros Autores: Mariano, Enzo Barberio, Manzine, Patricia Regina, Moralles, Herick Fernando, Morceiro, Paulo César, Torres, Bruno Guimarães, Almeida, Mariana Rodrigues de, Mello, João Carlos Soares de, Rebelatto, Daisy Aparecida do Nascimento
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFOP
Texto Completo: http://www.repositorio.ufop.br/jspui/handle/123456789/14967
https://doi.org/10.1007/s11205-021-02699-3
Resumo: Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures equipped with doctors, intensive care units and respirators are not available to a sufcient extent in all regions. Using Data Envelopment Analysis, we create a COVID Index to verify whether the hospital structures in 543 Brazilian microregions are adequate to deal with COVID-19 and to verify whether public policies were implemented in the right direction. The results indicate that hospital structures in the poorest microregions were the most vulnerable, although the peak of COVID-19 occurred in the richest microregions (Sao Paulo). The Southeast states could relocate hospital resources or even patients between their regions. The relocation was not possible in many states in the Northeast, as the health system poorly assisted the interior of these states. These fndings reveal that the heterogeneity of microre- gions’ hospital structures follows the patterns of socioeconomic inequalities. We conclude that it is easier for the wealthier regions to reallocate hospital resources internally than for the poorest regions. By using the COVID Index, policymakers and hospital managers have straightforward information to decide which regions must receive new investments and reallocate underutilized resources.
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spelling COVID health structure index : the vulnerability of Brazilian microregions.Coronavirus pandemicHealth serviceDecision indexData Envelopment Analysis - DEAMany developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures equipped with doctors, intensive care units and respirators are not available to a sufcient extent in all regions. Using Data Envelopment Analysis, we create a COVID Index to verify whether the hospital structures in 543 Brazilian microregions are adequate to deal with COVID-19 and to verify whether public policies were implemented in the right direction. The results indicate that hospital structures in the poorest microregions were the most vulnerable, although the peak of COVID-19 occurred in the richest microregions (Sao Paulo). The Southeast states could relocate hospital resources or even patients between their regions. The relocation was not possible in many states in the Northeast, as the health system poorly assisted the interior of these states. These fndings reveal that the heterogeneity of microre- gions’ hospital structures follows the patterns of socioeconomic inequalities. We conclude that it is easier for the wealthier regions to reallocate hospital resources internally than for the poorest regions. By using the COVID Index, policymakers and hospital managers have straightforward information to decide which regions must receive new investments and reallocate underutilized resources.2022-06-10T21:29:12Z2022-06-10T21:29:12Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFERRAZ, D. et al. COVID health structure index: the vulnerability of Brazilian microregions. Social Indicators Research, v. 158, p. 197-215, maio 2021. Disponível em: <https://link.springer.com/article/10.1007/s11205-021-02699-3>. Acesso em: 24 maio 2022.1573-0921http://www.repositorio.ufop.br/jspui/handle/123456789/14967https://doi.org/10.1007/s11205-021-02699-3This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Fonte: o PDF do artigo.info:eu-repo/semantics/openAccessFerraz, DiogoMariano, Enzo BarberioManzine, Patricia ReginaMoralles, Herick FernandoMorceiro, Paulo CésarTorres, Bruno GuimarãesAlmeida, Mariana Rodrigues deMello, João Carlos Soares deRebelatto, Daisy Aparecida do Nascimentoengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOP2022-06-10T21:29:18Zoai:repositorio.ufop.br:123456789/14967Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332022-06-10T21:29:18Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false
dc.title.none.fl_str_mv COVID health structure index : the vulnerability of Brazilian microregions.
title COVID health structure index : the vulnerability of Brazilian microregions.
spellingShingle COVID health structure index : the vulnerability of Brazilian microregions.
Ferraz, Diogo
Coronavirus pandemic
Health service
Decision index
Data Envelopment Analysis - DEA
title_short COVID health structure index : the vulnerability of Brazilian microregions.
title_full COVID health structure index : the vulnerability of Brazilian microregions.
title_fullStr COVID health structure index : the vulnerability of Brazilian microregions.
title_full_unstemmed COVID health structure index : the vulnerability of Brazilian microregions.
title_sort COVID health structure index : the vulnerability of Brazilian microregions.
author Ferraz, Diogo
author_facet Ferraz, Diogo
Mariano, Enzo Barberio
Manzine, Patricia Regina
Moralles, Herick Fernando
Morceiro, Paulo César
Torres, Bruno Guimarães
Almeida, Mariana Rodrigues de
Mello, João Carlos Soares de
Rebelatto, Daisy Aparecida do Nascimento
author_role author
author2 Mariano, Enzo Barberio
Manzine, Patricia Regina
Moralles, Herick Fernando
Morceiro, Paulo César
Torres, Bruno Guimarães
Almeida, Mariana Rodrigues de
Mello, João Carlos Soares de
Rebelatto, Daisy Aparecida do Nascimento
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ferraz, Diogo
Mariano, Enzo Barberio
Manzine, Patricia Regina
Moralles, Herick Fernando
Morceiro, Paulo César
Torres, Bruno Guimarães
Almeida, Mariana Rodrigues de
Mello, João Carlos Soares de
Rebelatto, Daisy Aparecida do Nascimento
dc.subject.por.fl_str_mv Coronavirus pandemic
Health service
Decision index
Data Envelopment Analysis - DEA
topic Coronavirus pandemic
Health service
Decision index
Data Envelopment Analysis - DEA
description Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures equipped with doctors, intensive care units and respirators are not available to a sufcient extent in all regions. Using Data Envelopment Analysis, we create a COVID Index to verify whether the hospital structures in 543 Brazilian microregions are adequate to deal with COVID-19 and to verify whether public policies were implemented in the right direction. The results indicate that hospital structures in the poorest microregions were the most vulnerable, although the peak of COVID-19 occurred in the richest microregions (Sao Paulo). The Southeast states could relocate hospital resources or even patients between their regions. The relocation was not possible in many states in the Northeast, as the health system poorly assisted the interior of these states. These fndings reveal that the heterogeneity of microre- gions’ hospital structures follows the patterns of socioeconomic inequalities. We conclude that it is easier for the wealthier regions to reallocate hospital resources internally than for the poorest regions. By using the COVID Index, policymakers and hospital managers have straightforward information to decide which regions must receive new investments and reallocate underutilized resources.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022-06-10T21:29:12Z
2022-06-10T21:29:12Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv FERRAZ, D. et al. COVID health structure index: the vulnerability of Brazilian microregions. Social Indicators Research, v. 158, p. 197-215, maio 2021. Disponível em: <https://link.springer.com/article/10.1007/s11205-021-02699-3>. Acesso em: 24 maio 2022.
1573-0921
http://www.repositorio.ufop.br/jspui/handle/123456789/14967
https://doi.org/10.1007/s11205-021-02699-3
identifier_str_mv FERRAZ, D. et al. COVID health structure index: the vulnerability of Brazilian microregions. Social Indicators Research, v. 158, p. 197-215, maio 2021. Disponível em: <https://link.springer.com/article/10.1007/s11205-021-02699-3>. Acesso em: 24 maio 2022.
1573-0921
url http://www.repositorio.ufop.br/jspui/handle/123456789/14967
https://doi.org/10.1007/s11205-021-02699-3
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFOP
instname:Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
instname_str Universidade Federal de Ouro Preto (UFOP)
instacron_str UFOP
institution UFOP
reponame_str Repositório Institucional da UFOP
collection Repositório Institucional da UFOP
repository.name.fl_str_mv Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)
repository.mail.fl_str_mv repositorio@ufop.edu.br
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