Evidence map›Paper›PMID 42643787›Full record

ArticleBMJ public health2026

How do structural inequalities influence COVID-19 hospital mortality among traditional peoples and communities? A cross-sectional study in São Paulo, Brazil, 2021-2023.

Sebastião Bruno Taveira Silva, Audêncio Victor, Eucilene Alves Santana, Simone Monzani Vivaldini, Mariana de-Carvalho, Ana Raquel Ernesto Manuel Gotine, Vanilda Alves Moreira, Sancho Xavier Pedro, Elena de Carvalho Prendergast, Aline Kelen Vesely Reis and 2 more

Abstract read
In one paragraph

Article in BMJ public health, 2026. 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

12 authors.

Sebastião Bruno Taveira Silva *Health and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Audêncio Victor *Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-8161-3639
Eucilene Alves SantanaHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Simone Monzani VivaldiniHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Mariana de-CarvalhoHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Ana Raquel Ernesto Manuel GotineSchool of Public Health, Department of Public Health, University of São Paulo, São Paulo, Brazil.
Vanilda Alves MoreiraSchool of Public Health, Department of Public Health, University of São Paulo, São Paulo, Brazil.
Sancho Xavier PedroSchool of Public Health, Department of Public Health, University of São Paulo, São Paulo, Brazil.
Elena de Carvalho PrendergastHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Aline Kelen Vesely ReisHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Greice Madeleine Ikeda do CarmoHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Luciana Nogueira de Almeida GuimarãesHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic exposed and deepened structural inequalities, disproportionately affecting vulnerable populations. Traditional peoples and communities (TPCs) in Brazil, including Indigenous groups, face socioeconomic vulnerabilities. This study aimed to investigate factors associated with COVID-19 mortality among hospitalised individuals from these populations in São Paulo, Brazil. Methods: A cross-sectional study was conducted using data from the Influenza Epidemiological Surveillance Information System from 2021 to 2023, focusing on cases of severe acute respiratory infection (SARI) caused by COVID-19. Sociodemographic data, clinical conditions, comorbidities and hospital support information were analysed. Multivariate logistic regression was performed to identify factors associated with mortality, with adjusted ORs and 95% CIs calculated for each variable. Results: A total of 965 hospitalisations were analysed. Factors associated with higher mortality included low education levels, such as primary education (first cycle: OR=11.20, 95% CI 2.16 to 20.70; second cycle: OR=11.30, 95% CI 2.14 to 20.80), dyspnoea (OR=3.15, 95% CI 1.54 to 6.91), diarrhoea (OR=1.95, 95% CI 1.11 to 3.39), asthma (OR=4.49, 95% CI 1.35 to 16.00), chronic respiratory disease (OR=2.10, 95% CI 1.13 to 4.45) and chronic liver disease (OR=6.50, 95% CI 2.10 to 8.34). The use of invasive ventilation was the strongest predictor of mortality (OR=23.70, 95% CI 19.80 to 56.20), followed by non-invasive ventilation (OR=3.25, 95% CI 1.62 to 7.44). Admission to the intensive care unit was marginally associated with mortality (OR=1.56, 95% CI 1.01 to 2.41). Conclusions: The study findings highlights how structural inequalities affect COVID-19 mortality among TPCs in São Paulo. Education, clinical conditions and invasive hospital support were key predictors of death. These findings emphasise the need for public health strategies that address inequities and focus on vulnerable groups to reduce the impact of future health crises.

Indexed as

Community HealthCOVID-19Public HealthSARS-CoV-2

Identifiers

PMID42643787
PMCPMC13504865

What OpenQuestion holds

Textmetadata
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.