Evidence map›Paper›PMID 37386490›Full record

ArticleBMC public health2023

Vaccine coverage and effectiveness against laboratory-confirmed symptomatic and severe Covid-19 in indigenous people in Brazil: a cohort study.

Julia M Pescarini, Andrey M Cardoso, Ricardo Ventura Santos, Priscila F Scaff, Enny S Paixao, Otavio T Ranzani, Thiago Cerqueira-Silva, Viviane S Boaventura, Juracy Bertoldo-Junior, Vinicius A de Oliveira and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Varicella outbreak at the Itamaraju Indigenous Health Base Center: a descriptive study, Bahia, 2024.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2026
    Article
  5. Article
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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

13 authors at 6 institutions in 3 countries.

Julia M Pescarini *Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz, Salvador, BA, Brazil. julia.pescarini1@lshtm.ac.uk.
Andrey M Cardoso *Escola Nacional de Saúde Pública (ENSP), Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil. andrey.cardoso@fiocruz.br.
Ricardo Ventura SantosEscola Nacional de Saúde Pública (ENSP), Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Priscila F ScaffCenter of Data and Knowledge Integration for Health (Cidacs), Fiocruz, Salvador, BA, Brazil.
Enny S PaixaoCenter of Data and Knowledge Integration for Health (Cidacs), Fiocruz, Salvador, BA, Brazil.
Otavio T RanzaniBarcelona Institute for Global Health, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), ISGlobal, Barcelona, Spain.
Thiago Cerqueira-SilvaUniversidade Federal da Bahia (UFBA), Salvador, BA, Brazil.
Viviane S BoaventuraUniversidade Federal da Bahia (UFBA), Salvador, BA, Brazil.
Juracy Bertoldo-JuniorCenter of Data and Knowledge Integration for Health (Cidacs), Fiocruz, Salvador, BA, Brazil.
Vinicius A de OliveiraCenter of Data and Knowledge Integration for Health (Cidacs), Fiocruz, Salvador, BA, Brazil.
Guilherme L WerneckUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Mauricio L BarretoCenter of Data and Knowledge Integration for Health (Cidacs), Fiocruz, Salvador, BA, Brazil.
Manoel Barral-NettoCenter of Data and Knowledge Integration for Health (Cidacs), Fiocruz, Salvador, BA, Brazil.
Fundação Oswaldo Cruz · BRUniversidade Federal da Bahia · BRLondon School of Hygiene & Tropical Medicine · GBHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Federal do Rio de Janeiro · BRUniversitat Pompeu Fabra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndigenous people have historically suffered devastating impacts from epidemics and continue to have lower access to healthcare and be especially vulnerable to respiratory infections. We estimated the coverage and effectiveness of Covid-19 vaccines against laboratory-confirmed Covid-19 cases among indigenous people in Brazil.

methodsWe linked nationwide Covid-19 vaccination data with flu-like surveillance records and studied a cohort of vaccinated indigenous people aged ≥ 5 years between 18th January 2021 and 1st March 2022. We considered individuals unexposed from the date they received the first dose of vaccine until the 13th day of vaccination, partially vaccinated from the 14th day after the first dose until the 13th day after receiving the second dose, and fully vaccinated onwards. We estimated the Covid-19 vaccination coverage and used Poisson regression to calculate the relative risks (RR) and vaccine effectiveness (VE) of CoronaVac, ChAdOx1, and BNT162b2 against Covid-19 laboratory-confirmed cases incidence, mortality, hospitalisation, and hospital-progression to Intensive Care Unit (ICU) or death. VE was estimated as (1-RR)*100, comparing unexposed to partially or fully vaccinated.

resultsBy 1st March 2022, 48.7% (35.0-62.3) of eligible indigenous people vs. 74.8% (57.9-91.8) overall Brazilians had been fully vaccinated for Covid-19. Among fully vaccinated indigenous people, we found a lower risk of symptomatic cases (RR: 0.47, 95%CI: 0.40-0.56) and mortality (RR: 0.47, 95%CI: 0.14-1.56) after the 14th day of the second dose. VE for the three Covid-19 vaccines combined was 53% (95%CI:44-60%) for symptomatic cases, 53% (95%CI:-56-86%) for mortality and 41% (95%CI:-35-75%) for hospitalisation. In our sample, we found that vaccination did not reduce Covid-19 related hospitalisation. However, among hospitalised patients, we found a lower risk of progression to ICU (RR: 0.14, 95%CI: 0.02-0.81; VE: 87%, 95%CI:27-98%) and Covid-19 death (RR: 0.04, 95%CI:0.01-0.10; VE: 96%, 95%CI: 90-99%) after the 14th day of the second dose.

conclusionsLower coverage but similar Covid-19 VE among indigenous people than overall Brazilians suggest the need to expand access, timely vaccination, and urgently offer booster doses to achieve a great level of protection among this group.

Indexed as

COVID-19VaccinesBNT162 VaccineBrazilCohort StudiesCOVID-19 VaccinesHumansIndigenous PeoplesVaccines, InactivatedBNT162 VaccineCOVID-19 Vaccinessinovac COVID-19 vaccineVaccinesVaccines, InactivatedBrazilCohort studyCOVID-19Indigenous peoplesVaccine coverageVaccine effectiveness

Identifiers

PMID37386490
PMCPMC10311776
OpenAlexW4382602764

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.