Evidence map›Paper›PMID 40900510›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2025

Impacts of the COVID-19 pandemic on excess deaths: descriptive study, Pernambuco, 2020-2022.

Hélder Limeira Campos, Gabriel Jesus Alves Fernandes, Daphne Galvão de Sousa, Paloma Luna Maranhão Conrado, Évelyn de Oliveira Campos, Ricardo Augusto Barros Dos Santos Filho, Polyana Felipe Ferreira da Costa, Carolina Maria da Silva, George Alessandro Maranhão Conrado, Pauliana Valéria Machado Galvão

Abstract read
In one paragraph

Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hélder Limeira CamposUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0009-0006-9203-4102
Gabriel Jesus Alves FernandesUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0000-0002-5867-2884
Daphne Galvão de SousaUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0000-0002-8634-6277
Paloma Luna Maranhão ConradoUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0000-0001-8828-667X
Évelyn de Oliveira CamposUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0009-0008-2319-414X
Ricardo Augusto Barros Dos Santos FilhoUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0000-0002-1212-329X
Polyana Felipe Ferreira da CostaUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0000-0002-6054-8401
Carolina Maria da SilvaUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0000-0003-2680-9767
George Alessandro Maranhão ConradoUniversidade de Pernambuco, Faculdade de Medicina, Serra Talhada, PE, Brazil.ORCID http://orcid.org/0000-0001-6649-577X
Pauliana Valéria Machado GalvãoUniversidade de Pernambuco, Faculdade de Ciências Médicas, Recife, PE, Brazil.ORCID http://orcid.org/0000-0002-4418-218X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the excess deaths during the COVID-19 pandemic in Pernambuco between 2020 and 2022.

methodsThis descriptive study used data from the Mortality Information System (SIM). The excess deaths, expressed as the observed-to-expected deaths ratio, and the P-score, expressed as the proportional excess deaths, were evaluated. The estimated deaths used historical data from 2015 to 2019 based on linear regression models.

resultsThe highest proportional excess mortality for 2020 was evidenced in the Regional Health Management Department I, III, and IV (28.0%, 25.9%, and 18.1%); for 2021, in the Regional Health Management Departments I, XII and VIII (35.4%, 24.7% and 23.2%); and for 2022, in the Regional Health Management Departments XI, IV and VII (20.1%, 19.1% and 16.3%).

conclusionThe distribution of excess mortality in Pernambuco varied during the pandemic years and highlighted the inland spread of COVID-19-related deaths.

Indexed as

COVID-19MortalityBrazilFemaleHumansLinear ModelsMalePandemics

Identifiers

PMID40900510
PMCPMC12404601

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Registered trials

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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.