Evidence map›Paper›PMID 36820750›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2023

Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil.

Valeria Saraceni, Oswaldo Gonçalves Cruz, João Roberto Cavalcante, Fernanda Morena Dos Santos Barbeiro Vieira, Bruno Baptista Cardoso, Débora Medeiros de Oliveira E Cruz, Gislani Mateus Oliveira Aguilar, Betina Durovni, Daniel Soranz, Márcio Henrique de Oliveira Garcia

Open access · diamondAbstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Valeria SaraceniSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0001-7360-6490
Oswaldo Gonçalves CruzSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0002-3289-3195
João Roberto CavalcanteSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0003-2070-3822
Fernanda Morena Dos Santos Barbeiro VieiraSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0002-2010-761X
Bruno Baptista CardosoSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0001-8147-9452
Débora Medeiros de Oliveira E CruzSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0002-8325-6866
Gislani Mateus Oliveira AguilarSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0001-9103-9864
Betina DurovniSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0002-5555-8015
Daniel SoranzSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0002-7224-5854
Márcio Henrique de Oliveira GarciaSecretaria Municipal de Saúde do Município do Rio de Janeiro - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0002-9001-278X
Secretaria Municipal de Saúde · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022).

methodsEcological 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.

resultsWe 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.

conclusionThe 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.

Indexed as

COVID-19Influenza, HumanBrazilCausalityHumansPandemics

Identifiers

PMID36820750
PMCPMC9949491
OpenAlexW4321380416

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.