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Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil
OBJECTIVE: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). METHODS: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Saúde Coletiva
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949491/ https://www.ncbi.nlm.nih.gov/pubmed/36820750 http://dx.doi.org/10.1590/1980-549720230013 |
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author | Saraceni, Valeria Cruz, Oswaldo Gonçalves Cavalcante, João Roberto Vieira, Fernanda Morena dos Santos Barbeiro Cardoso, Bruno Baptista Cruz, Débora Medeiros de Oliveira e Aguilar, Gislani Mateus Oliveira Durovni, Betina Soranz, Daniel Garcia, Márcio Henrique de Oliveira |
author_facet | Saraceni, Valeria Cruz, Oswaldo Gonçalves Cavalcante, João Roberto Vieira, Fernanda Morena dos Santos Barbeiro Cardoso, Bruno Baptista Cruz, Débora Medeiros de Oliveira e Aguilar, Gislani Mateus Oliveira Durovni, Betina Soranz, Daniel Garcia, Márcio Henrique de Oliveira |
author_sort | Saraceni, Valeria |
collection | PubMed |
description | OBJECTIVE: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). METHODS: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess mortality was estimated by the difference between the mean number of all expected deaths and the mean number of observed deaths, considering the 2015–2019 period. The quantile regression method was adjusted. The total value of cases above that expected by the historical series was estimated. Among all deaths, cases of COVID-19 and Influenza as underlying causes of death were selected. The ratio between excess mortality and deaths due to COVID-19 was calculated. RESULTS: We identified an excess of 31,920 deaths by the mean (increase of 26.8%). The regression pointed to 31,363 excess deaths. We found 33,401 deaths from COVID-19 and 176 deaths from Influenza. The ratio between the verified excess mortality and deaths due to COVID-19 was 0.96 by the mean and 0.95 by the regression. CONCLUSION: The study pointed to large excess deaths during the COVID-19 pandemic in the city of Rio de Janeiro distributed in waves, including the period of the Influenza outbreak. |
format | Online Article Text |
id | pubmed-9949491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Associação Brasileira de Saúde Coletiva |
record_format | MEDLINE/PubMed |
spelling | pubmed-99494912023-02-24 Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil Saraceni, Valeria Cruz, Oswaldo Gonçalves Cavalcante, João Roberto Vieira, Fernanda Morena dos Santos Barbeiro Cardoso, Bruno Baptista Cruz, Débora Medeiros de Oliveira e Aguilar, Gislani Mateus Oliveira Durovni, Betina Soranz, Daniel Garcia, Márcio Henrique de Oliveira Rev Bras Epidemiol Original Article OBJECTIVE: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). METHODS: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess mortality was estimated by the difference between the mean number of all expected deaths and the mean number of observed deaths, considering the 2015–2019 period. The quantile regression method was adjusted. The total value of cases above that expected by the historical series was estimated. Among all deaths, cases of COVID-19 and Influenza as underlying causes of death were selected. The ratio between excess mortality and deaths due to COVID-19 was calculated. RESULTS: We identified an excess of 31,920 deaths by the mean (increase of 26.8%). The regression pointed to 31,363 excess deaths. We found 33,401 deaths from COVID-19 and 176 deaths from Influenza. The ratio between the verified excess mortality and deaths due to COVID-19 was 0.96 by the mean and 0.95 by the regression. CONCLUSION: The study pointed to large excess deaths during the COVID-19 pandemic in the city of Rio de Janeiro distributed in waves, including the period of the Influenza outbreak. Associação Brasileira de Saúde Coletiva 2023-02-20 /pmc/articles/PMC9949491/ /pubmed/36820750 http://dx.doi.org/10.1590/1980-549720230013 Text en https://creativecommons.org/licenses/by/4.0/All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License |
spellingShingle | Original Article Saraceni, Valeria Cruz, Oswaldo Gonçalves Cavalcante, João Roberto Vieira, Fernanda Morena dos Santos Barbeiro Cardoso, Bruno Baptista Cruz, Débora Medeiros de Oliveira e Aguilar, Gislani Mateus Oliveira Durovni, Betina Soranz, Daniel Garcia, Márcio Henrique de Oliveira Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil |
title | Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil |
title_full | Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil |
title_fullStr | Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil |
title_full_unstemmed | Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil |
title_short | Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil |
title_sort | excess mortality from all causes during the covid-19 pandemic in the city of rio de janeiro, brazil |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949491/ https://www.ncbi.nlm.nih.gov/pubmed/36820750 http://dx.doi.org/10.1590/1980-549720230013 |
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