Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality

Detalhes bibliográficos
Autor(a) principal: Santos, Cleber Vinicius Brito dos
Data de Publicação: 2021
Outros Autores: Cavalcante, João Roberto, Pungartnik, Paula Cristina, Guimarães, Raphael Mendonça
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/2712
Resumo: Objective: To describe the space-time evolution of cases and deaths due to COVID-19 in the Rio de Janeiro municipality during the first year of the pandemic. Methods: We carried out an ecological study whose units of analysis were the neighborhoods of the municipality of Rio de Janeiro. We calculated Incidence and mortality rates, excess risk, global Moran index (Moran's I), Local indicator of spatial association (LISA), standardized incidence ratio (SIR) and standardized mortality ratio (SMR) for neighborhoods in the municipality of Rio de Janeiro. Results: Over the first year, City of Rio de Janeiro registries included 204,888 cases and 19,017 deaths due to COVID-19. During the first three months of the pandemic, the municipality show higher incidence rates than the State of Rio de Janeiro and Brazil and higher mortality rates than the State of Rio de Janeiro and Brazil from May 2020 to February 2021. Bonsucesso was the neighborhood with the highest incidence and mortality rates, and throughout the communities and months, there is no synchrony between the worst moments of the COVID-19 pandemic. Conclusion: We emphasize the need to implement more rigid control and prevention measures, increase case detection, and accelerate the COVID-19 immunization campaign.
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spelling Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipalityAnálise espaço-temporal do primeiro ano da pandemia de COVID-19 no município do Rio de JaneiroCOVID-19SARS-CoV-2análise espacialepidemiologiasaúde coletivaCOVID-19SARS-CoV-2spatial analysisepidemiologypublic healthObjective: To describe the space-time evolution of cases and deaths due to COVID-19 in the Rio de Janeiro municipality during the first year of the pandemic. Methods: We carried out an ecological study whose units of analysis were the neighborhoods of the municipality of Rio de Janeiro. We calculated Incidence and mortality rates, excess risk, global Moran index (Moran's I), Local indicator of spatial association (LISA), standardized incidence ratio (SIR) and standardized mortality ratio (SMR) for neighborhoods in the municipality of Rio de Janeiro. Results: Over the first year, City of Rio de Janeiro registries included 204,888 cases and 19,017 deaths due to COVID-19. During the first three months of the pandemic, the municipality show higher incidence rates than the State of Rio de Janeiro and Brazil and higher mortality rates than the State of Rio de Janeiro and Brazil from May 2020 to February 2021. Bonsucesso was the neighborhood with the highest incidence and mortality rates, and throughout the communities and months, there is no synchrony between the worst moments of the COVID-19 pandemic. Conclusion: We emphasize the need to implement more rigid control and prevention measures, increase case detection, and accelerate the COVID-19 immunization campaign.Objetivo: descrever a evolução espaço-temporal de detecção de casos e mortalidade por COVID-19 no município do Rio de Janeiro durante o primeiro ano da pandemia. Métodos: foi realizado um estudo ecológico cujas unidades de análise foram os bairros do município do Rio de Janeiro. Foram calculadas as taxas de incidência e mortalidade, excesso de risco, índice de Moran global (I de Moran), indicador local de associação espacial (LISA), razão de incidência padronizada (SIR) e razão de mortalidade padronizada (SMR) para bairros do município do Rio de Janeiro. Resultados: foram notificados 204.888 casos e 19.017 óbitos por COVID-19, o município apresentou durante os 3 primeiros meses de pandemia taxas de incidência superiores ao Estado do Rio de Janeiro e ao Brasil e taxas de mortalidade superiores ao Estado do Rio de Janeiro e Brasil a partir de maio de 2020 até fevereiro de 2021. Bonsucesso foi o bairro com maiores taxas de incidência e mortalidade, e ao longo dos bairros e dos meses não há sincronia entre os piores momentos da pandemia de COVID-19 Conclusão: ressaltamos a necessidade de implantação de medidas mais rígidas para controle e prevenção, aumento na detecção de casos e a aceleração da campanha de imunização da COVID-19.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-07-29info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/271210.1590/1980-549720210046porhttps://preprints.scielo.org/index.php/scielo/article/view/2712/4767Copyright (c) 2021 Cleber Vinicius Brito dos Santos, João Roberto Cavalcante, Paula Cristina Pungartnik, Raphael Mendonça Guimarãeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Cleber Vinicius Brito dosCavalcante, João Roberto Pungartnik, Paula Cristina Guimarães, Raphael Mendonça reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-07-28T17:53:04Zoai:ops.preprints.scielo.org:preprint/2712Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-07-28T17:53:04SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
Análise espaço-temporal do primeiro ano da pandemia de COVID-19 no município do Rio de Janeiro
title Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
spellingShingle Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
Santos, Cleber Vinicius Brito dos
COVID-19
SARS-CoV-2
análise espacial
epidemiologia
saúde coletiva
COVID-19
SARS-CoV-2
spatial analysis
epidemiology
public health
title_short Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
title_full Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
title_fullStr Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
title_full_unstemmed Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
title_sort Space-time analysis of the first year of COVID-19 pandemic in Rio de Janeiro municipality
author Santos, Cleber Vinicius Brito dos
author_facet Santos, Cleber Vinicius Brito dos
Cavalcante, João Roberto
Pungartnik, Paula Cristina
Guimarães, Raphael Mendonça
author_role author
author2 Cavalcante, João Roberto
Pungartnik, Paula Cristina
Guimarães, Raphael Mendonça
author2_role author
author
author
dc.contributor.author.fl_str_mv Santos, Cleber Vinicius Brito dos
Cavalcante, João Roberto
Pungartnik, Paula Cristina
Guimarães, Raphael Mendonça
dc.subject.por.fl_str_mv COVID-19
SARS-CoV-2
análise espacial
epidemiologia
saúde coletiva
COVID-19
SARS-CoV-2
spatial analysis
epidemiology
public health
topic COVID-19
SARS-CoV-2
análise espacial
epidemiologia
saúde coletiva
COVID-19
SARS-CoV-2
spatial analysis
epidemiology
public health
description Objective: To describe the space-time evolution of cases and deaths due to COVID-19 in the Rio de Janeiro municipality during the first year of the pandemic. Methods: We carried out an ecological study whose units of analysis were the neighborhoods of the municipality of Rio de Janeiro. We calculated Incidence and mortality rates, excess risk, global Moran index (Moran's I), Local indicator of spatial association (LISA), standardized incidence ratio (SIR) and standardized mortality ratio (SMR) for neighborhoods in the municipality of Rio de Janeiro. Results: Over the first year, City of Rio de Janeiro registries included 204,888 cases and 19,017 deaths due to COVID-19. During the first three months of the pandemic, the municipality show higher incidence rates than the State of Rio de Janeiro and Brazil and higher mortality rates than the State of Rio de Janeiro and Brazil from May 2020 to February 2021. Bonsucesso was the neighborhood with the highest incidence and mortality rates, and throughout the communities and months, there is no synchrony between the worst moments of the COVID-19 pandemic. Conclusion: We emphasize the need to implement more rigid control and prevention measures, increase case detection, and accelerate the COVID-19 immunization campaign.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-29
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10.1590/1980-549720210046
url https://preprints.scielo.org/index.php/scielo/preprint/view/2712
identifier_str_mv 10.1590/1980-549720210046
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/2712/4767
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dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
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SciELO Preprints
SciELO Preprints
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