COVID health structure index : the vulnerability of Brazilian microregions.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
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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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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1813002842879819776 |