ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Hygeia (Uberlândia) |
Texto Completo: | https://seer.ufu.br/index.php/hygeia/article/view/58324 |
Resumo: | The present paper aims to analyze the spatial distribution of confirmed cases of COVID-19 in the State of Bahia, between the period of March, 2020 to June, 2020, while it searchs to analyze the critical care beds' distribution of and the population with higher age to 60 years, owing to the possibility of allocating equipment to support intensive health based on the patterns of disease spread and the concentration of the elderly. Therefore, using the data from the Epidemiological Bulletins of the Health Secretariat of the State of Bahia (SESAB, 2020) and the COVID Portal (IBGE, 2020), the tools of the Geographic Information System were used to qualify and analyze the distribution of COVID -19. The results show that the virus's dispersion in the territory's state had a strong relationship with the major road and air routes in the state. Thus, until June 2020, 93.52% of the state's municipalities did not have ICU beds, in addition, alarming data stands out for the number of cases and deaths in the Metropolitan Identity Territory of Salvador, as well as the high incidence rate for the southern region of the state, among others. With regard to the number of ICUs, there is a concentration of beds in the Metropolitan Region of Salvador, while the municipalities with the highest recommendations for the elderly are concentrated in the Midwest of the state, in small municipalities, with fragile health networks, which arouses the need for planning health actions. In the end, this work is legitimized by recognizing spatial patterns of dispersion routes and providing relevant information for understanding and mitigating damage related to the COVID-19's pandemic. |
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ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASILBahiaDistribuição espacialCOVID-19 The present paper aims to analyze the spatial distribution of confirmed cases of COVID-19 in the State of Bahia, between the period of March, 2020 to June, 2020, while it searchs to analyze the critical care beds' distribution of and the population with higher age to 60 years, owing to the possibility of allocating equipment to support intensive health based on the patterns of disease spread and the concentration of the elderly. Therefore, using the data from the Epidemiological Bulletins of the Health Secretariat of the State of Bahia (SESAB, 2020) and the COVID Portal (IBGE, 2020), the tools of the Geographic Information System were used to qualify and analyze the distribution of COVID -19. The results show that the virus's dispersion in the territory's state had a strong relationship with the major road and air routes in the state. Thus, until June 2020, 93.52% of the state's municipalities did not have ICU beds, in addition, alarming data stands out for the number of cases and deaths in the Metropolitan Identity Territory of Salvador, as well as the high incidence rate for the southern region of the state, among others. With regard to the number of ICUs, there is a concentration of beds in the Metropolitan Region of Salvador, while the municipalities with the highest recommendations for the elderly are concentrated in the Midwest of the state, in small municipalities, with fragile health networks, which arouses the need for planning health actions. In the end, this work is legitimized by recognizing spatial patterns of dispersion routes and providing relevant information for understanding and mitigating damage related to the COVID-19's pandemic.O presente texto tem como objetivo analisar a distribuição espacial dos casos confirmados da COVID-19 no Estado da Bahia, entre o período de março a junho de 2020, ao passo que busca analisar a distribuição dos leitos de terapia intensiva e da população com idade superior a 60 anos, tendo em vista a possibilidade de alocação dos equipamentos de suporte à saúde intensiva com base nos padrões de disseminação da doença e na concentração de idosos. Para tal, a partir de dados dos Boletins Epidemiológicos da Secretaria de Saúde do Estado da Bahia (SESAB, 2020) e do Portal COVID (IBGE, 2020) foram utilizadas ferramentas de Sistema de Informação Geográfica, para qualificação e análise da distribuição espacial da COVID-19. Os resultados apontam que a dispersão do vírus no território estadual teve forte relação com os eixos rodoviários e aéreos de maior porte do estado. Desta forma, até junho de 2020, 93,52% dos municípios do estado não detinham de leitos de UTI, além disso, ressalta-se a alta taxa de incidência para a Região Sul do estado e destaca-se a concentração dos leitos de UTIs na Região Metropolitana de Salvador, ao passo que os municípios com maiores concentrações de idosos se concentram no Centro Oeste do estado, em municípios pequenos, com redes de saúde frágeis, o que desperta a necessidade para o planejamento de ações em saúde. Ao final, este trabalho legitima-se ao reconhecer padrões espaciais de rotas de dispersão e fornecer relevantes informações para a compreensão e mitigação de danos relacionado a pandemia da COVID-19.Universidade Federal de Uberlândia2021-09-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/5832410.14393/Hygeia17058324Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 17 (2021); 198 - 2151980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/hygeia/article/view/58324/32527Copyright (c) 2022 Sarah Andrade Sampaio, Gabriel Carneiro Silva Cunha, Felipe de Souza Reis, Sirius Oliveira Souza info:eu-repo/semantics/openAccessSampaio, Sarah AndradeCunha, Gabriel Carneiro Silva Reis, Felipe de SouzaSouza , Sirius Oliveira2022-03-06T01:21:12Zoai:ojs.www.seer.ufu.br:article/58324Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2022-03-06T01:21:12Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL |
title |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL |
spellingShingle |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL Sampaio, Sarah Andrade Bahia Distribuição espacial COVID-19 |
title_short |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL |
title_full |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL |
title_fullStr |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL |
title_full_unstemmed |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL |
title_sort |
ANÁLISE ESPACIAL DOS CASOS DA COVID-19 E LEITOS DE TERAPIA INTENSIVA NO ESTADO DA BAHIA-BRASIL |
author |
Sampaio, Sarah Andrade |
author_facet |
Sampaio, Sarah Andrade Cunha, Gabriel Carneiro Silva Reis, Felipe de Souza Souza , Sirius Oliveira |
author_role |
author |
author2 |
Cunha, Gabriel Carneiro Silva Reis, Felipe de Souza Souza , Sirius Oliveira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Sampaio, Sarah Andrade Cunha, Gabriel Carneiro Silva Reis, Felipe de Souza Souza , Sirius Oliveira |
dc.subject.por.fl_str_mv |
Bahia Distribuição espacial COVID-19 |
topic |
Bahia Distribuição espacial COVID-19 |
description |
The present paper aims to analyze the spatial distribution of confirmed cases of COVID-19 in the State of Bahia, between the period of March, 2020 to June, 2020, while it searchs to analyze the critical care beds' distribution of and the population with higher age to 60 years, owing to the possibility of allocating equipment to support intensive health based on the patterns of disease spread and the concentration of the elderly. Therefore, using the data from the Epidemiological Bulletins of the Health Secretariat of the State of Bahia (SESAB, 2020) and the COVID Portal (IBGE, 2020), the tools of the Geographic Information System were used to qualify and analyze the distribution of COVID -19. The results show that the virus's dispersion in the territory's state had a strong relationship with the major road and air routes in the state. Thus, until June 2020, 93.52% of the state's municipalities did not have ICU beds, in addition, alarming data stands out for the number of cases and deaths in the Metropolitan Identity Territory of Salvador, as well as the high incidence rate for the southern region of the state, among others. With regard to the number of ICUs, there is a concentration of beds in the Metropolitan Region of Salvador, while the municipalities with the highest recommendations for the elderly are concentrated in the Midwest of the state, in small municipalities, with fragile health networks, which arouses the need for planning health actions. In the end, this work is legitimized by recognizing spatial patterns of dispersion routes and providing relevant information for understanding and mitigating damage related to the COVID-19's pandemic. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/hygeia/article/view/58324 10.14393/Hygeia17058324 |
url |
https://seer.ufu.br/index.php/hygeia/article/view/58324 |
identifier_str_mv |
10.14393/Hygeia17058324 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/hygeia/article/view/58324/32527 |
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.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 17 (2021); 198 - 215 1980-1726 reponame:Hygeia (Uberlândia) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Hygeia (Uberlândia) |
collection |
Hygeia (Uberlândia) |
repository.name.fl_str_mv |
Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
samuel@ufu.br||flavia.santos@ufu.br |
_version_ |
1799944284617572352 |