Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/2100 |
Resumo: | The objective of this study was to analyze the COVID-19 incidence of and mortality in a population from a territorial area with a predominance of neighborhoods with slum areas (subnormal settlements), and its relationship with contextual variables. We analyzed 36 neighborhoods of the Canal do Cunha Sub-basin that presented 30,008 deaths by COVID-19 until February 5, 2021. Cumulative incidence, cumulative mortality, and cumulative lethality rates were considered as dependent variables. Contextual variables included patient neighborhood; proportion of ASN by neighborhoods, percentage of black and brown people, age group; income ratio, and sanitation indices. The variables were analyzed descriptively, bivariately by Spearman correlation, and Moran's spatial statistics were performed. The Complexo do Alemão, Mangueira, and Maré neighborhoods had the highest proportions of cases and deaths from COVI-19. The percentage of infection in the 20 to 29, 30 to 39, and 40 to 49 age groups were 13.6%, 21.5%, and 20.1%, respectively. In the 70 to 79 age group was 7.3% of the total COVID-19 cases, and 26.7% deaths and 34.2% lethality rate. When added the records of black and brown people with those without records for color/race there was significant positive moderate correlation between the cumulative incidence rate and mortality rate (rho = 0.383; p=0.048 and rho= 0.3176; p= 0.0106). The global and local Moran's spatial statistical evaluation allowed to verify intermediate and medium priority areas that need to strengthen the surveillance and control system of COVID-19. The epidemiological situation of an area with a high percentage of slum areas showed that mortality by COVID-19 in black and brown people is related to demographic aspects and that there is low notification of cases and deaths attributed to COVID-19 in residents of areas with slums. |
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Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de JaneiroAspectos demográficos, socioeconômicos e epidemiológicos da COVID-19 na Região da Sub-Bacia do Canal do Cunha, Rio de JaneiroInfecção por CoronavírusCOVID-19Áreas de FavelaIncidênciaMortalidadeEstatística espacialCoronavirus infectionCOVID-19Slum areasIncidenceMortalitySpatial statisticsThe objective of this study was to analyze the COVID-19 incidence of and mortality in a population from a territorial area with a predominance of neighborhoods with slum areas (subnormal settlements), and its relationship with contextual variables. We analyzed 36 neighborhoods of the Canal do Cunha Sub-basin that presented 30,008 deaths by COVID-19 until February 5, 2021. Cumulative incidence, cumulative mortality, and cumulative lethality rates were considered as dependent variables. Contextual variables included patient neighborhood; proportion of ASN by neighborhoods, percentage of black and brown people, age group; income ratio, and sanitation indices. The variables were analyzed descriptively, bivariately by Spearman correlation, and Moran's spatial statistics were performed. The Complexo do Alemão, Mangueira, and Maré neighborhoods had the highest proportions of cases and deaths from COVI-19. The percentage of infection in the 20 to 29, 30 to 39, and 40 to 49 age groups were 13.6%, 21.5%, and 20.1%, respectively. In the 70 to 79 age group was 7.3% of the total COVID-19 cases, and 26.7% deaths and 34.2% lethality rate. When added the records of black and brown people with those without records for color/race there was significant positive moderate correlation between the cumulative incidence rate and mortality rate (rho = 0.383; p=0.048 and rho= 0.3176; p= 0.0106). The global and local Moran's spatial statistical evaluation allowed to verify intermediate and medium priority areas that need to strengthen the surveillance and control system of COVID-19. The epidemiological situation of an area with a high percentage of slum areas showed that mortality by COVID-19 in black and brown people is related to demographic aspects and that there is low notification of cases and deaths attributed to COVID-19 in residents of areas with slums.Objetivo desse estudo foi analisar a incidência e mortalidade por COVID-19 em população de área territorial com predominância de bairros com áreas de favelas (aglomerados subnormais), e sua relação com variáveis contextuais. Foram analisados 36 bairros da Sub-bacia do Canal do Cunha que apresentaram 30.008 óbitos por COVID-19 até o dia 05 de fevereiro de 2021. Considerou-se como variáveis dependentes as taxas de incidência acumulada, mortalidade acumulada e letalidade acumulada. Entre as variáveis contextuais, foram incluídas bairro do paciente; proporção de ASN por bairros, percentual de pretos e pardos, faixa etária; razão de renda, e índices de saneamento. As variáveis foram analisadas de forma descritiva, bivariada pela correlação de Spearman e utilizado a estatística espacial de Moran. Os bairros Complexo do Alemão, Mangueira e Maré foram que apresentaram as maiores proporções de casos e óbitos por COVI-19. O percentual de infecção nas faixas de 20 a 29 anos, 30 a 39 anos e 40 a 49 anos foram de 13,6%, 21.5% e 20,1%, respectivamente. Na faixa etária entre 70 e 79 anos foi 7,3% do total de casos de COVID-19, e 26,7% de óbitos e 34,2% taxa de letalidade. Quando somado os registros de pessoas pretas e parda com os sem registro para cor/raça houve correlação moderada positiva significativa entre a taxa de incidência acumulada e a taxa de mortalidade (rho = 0,383; p=0,048 e rho= 0,3176; p=0,0106). A avaliação estatística espacial global e local de Moran permitiu verificar áreas de prioridade intermediárias e médias que necessitam reforçar o sistema de vigilância e controle da COVID-19. A situação epidemiológica de área com grande percentual de áreas favelas mostrou que a mortalidade por COVID-19 em pessoas pretas e pardas está relacionada a aspectos demográficos e que ocorre baixa notificação de casos e de óbitos atribuídas ao COVID-19 em moradores de áreas com favelas.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-04-13info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/210010.1590/SciELOPreprints.2100porhttps://preprints.scielo.org/index.php/scielo/article/view/2100/3504Copyright (c) 2021 Adriana Sotero-Martins, Wagner Nazário Coelho, Geane Lopes Flores, Eric Lopes Gama, Elvira Carvajal, Marilda Agudo Mendonça Teixeira de Siqueira, Maria de Lourdes Aguiar-Oliveirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSotero-Martins, AdrianaCoelho, Wagner Nazário Flores, Geane LopesGama, Eric LopesCarvajal, Elvira Siqueira, Marilda Agudo Mendonça Teixeira deAguiar-Oliveira, Maria de Lourdesreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-04-09T17:04:47Zoai:ops.preprints.scielo.org:preprint/2100Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-04-09T17:04:47SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro Aspectos demográficos, socioeconômicos e epidemiológicos da COVID-19 na Região da Sub-Bacia do Canal do Cunha, Rio de Janeiro |
title |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro |
spellingShingle |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro Sotero-Martins, Adriana Infecção por Coronavírus COVID-19 Áreas de Favela Incidência Mortalidade Estatística espacial Coronavirus infection COVID-19 Slum areas Incidence Mortality Spatial statistics |
title_short |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro |
title_full |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro |
title_fullStr |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro |
title_full_unstemmed |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro |
title_sort |
Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro |
author |
Sotero-Martins, Adriana |
author_facet |
Sotero-Martins, Adriana Coelho, Wagner Nazário Flores, Geane Lopes Gama, Eric Lopes Carvajal, Elvira Siqueira, Marilda Agudo Mendonça Teixeira de Aguiar-Oliveira, Maria de Lourdes |
author_role |
author |
author2 |
Coelho, Wagner Nazário Flores, Geane Lopes Gama, Eric Lopes Carvajal, Elvira Siqueira, Marilda Agudo Mendonça Teixeira de Aguiar-Oliveira, Maria de Lourdes |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Sotero-Martins, Adriana Coelho, Wagner Nazário Flores, Geane Lopes Gama, Eric Lopes Carvajal, Elvira Siqueira, Marilda Agudo Mendonça Teixeira de Aguiar-Oliveira, Maria de Lourdes |
dc.subject.por.fl_str_mv |
Infecção por Coronavírus COVID-19 Áreas de Favela Incidência Mortalidade Estatística espacial Coronavirus infection COVID-19 Slum areas Incidence Mortality Spatial statistics |
topic |
Infecção por Coronavírus COVID-19 Áreas de Favela Incidência Mortalidade Estatística espacial Coronavirus infection COVID-19 Slum areas Incidence Mortality Spatial statistics |
description |
The objective of this study was to analyze the COVID-19 incidence of and mortality in a population from a territorial area with a predominance of neighborhoods with slum areas (subnormal settlements), and its relationship with contextual variables. We analyzed 36 neighborhoods of the Canal do Cunha Sub-basin that presented 30,008 deaths by COVID-19 until February 5, 2021. Cumulative incidence, cumulative mortality, and cumulative lethality rates were considered as dependent variables. Contextual variables included patient neighborhood; proportion of ASN by neighborhoods, percentage of black and brown people, age group; income ratio, and sanitation indices. The variables were analyzed descriptively, bivariately by Spearman correlation, and Moran's spatial statistics were performed. The Complexo do Alemão, Mangueira, and Maré neighborhoods had the highest proportions of cases and deaths from COVI-19. The percentage of infection in the 20 to 29, 30 to 39, and 40 to 49 age groups were 13.6%, 21.5%, and 20.1%, respectively. In the 70 to 79 age group was 7.3% of the total COVID-19 cases, and 26.7% deaths and 34.2% lethality rate. When added the records of black and brown people with those without records for color/race there was significant positive moderate correlation between the cumulative incidence rate and mortality rate (rho = 0.383; p=0.048 and rho= 0.3176; p= 0.0106). The global and local Moran's spatial statistical evaluation allowed to verify intermediate and medium priority areas that need to strengthen the surveillance and control system of COVID-19. The epidemiological situation of an area with a high percentage of slum areas showed that mortality by COVID-19 in black and brown people is related to demographic aspects and that there is low notification of cases and deaths attributed to COVID-19 in residents of areas with slums. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/2100 10.1590/SciELOPreprints.2100 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/2100 |
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10.1590/SciELOPreprints.2100 |
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por |
language |
por |
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https://preprints.scielo.org/index.php/scielo/article/view/2100/3504 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints - SciELO |
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