Evidence map›Paper›PMID 36936517›Full record

ArticleLancet regional health. Americas2023

The effectiveness of COVID-19 vaccines against severe cases and deaths in Brazil from 2021 to 2022: a registry-based study.

Cleber Vinicius Brito Dos Santos, Naiara Cristina Morais Valiati, Tatiana Guimarães de Noronha, Victor Bertollo Gomes Porto, Antônio Guilherme Pacheco, Laís Picinini Freitas, Flávio Codeço Coelho, Marcelo Ferreira da Costa Gomes, Leonardo Soares Bastos, Oswaldo Gonçalves Cruz and 6 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  10. Impact of vaccination and SARS-CoV-2 variants on severe COVID-19 outcomes: a cross-sectional study, Brazil, 2021-2022.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
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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

16 authors.

Cleber Vinicius Brito Dos SantosDepartamento de Epidemiologia, Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Naiara Cristina Morais ValiatiPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Tatiana Guimarães de NoronhaInstituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Victor Bertollo Gomes PortoPrograma Nacional de Imunização, Ministério da Saúde, Brasília, Brazil.
Antônio Guilherme PachecoPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Laís Picinini FreitasPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Flávio Codeço CoelhoEscola de Matemática Aplicada, Fundação Getúlio Vargas (FGV), Rio de Janeiro, Brazil.
Marcelo Ferreira da Costa GomesPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Leonardo Soares BastosPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Oswaldo Gonçalves CruzPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Raquel Martins LanaPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Paula Mendes LuzInstituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Luiz Max Fagundes de CarvalhoEscola de Matemática Aplicada, Fundação Getúlio Vargas (FGV), Rio de Janeiro, Brazil.
Guilherme Loureiro WerneckDepartamento de Epidemiologia, Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Claudio José StruchinerDepartamento de Epidemiologia, Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Daniel Antunes Maciel VillelaPrograma de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brazil started the COVID-19 mass vaccination in January 2021 with CoronaVac and ChAdOx1, followed by BNT162b2 and Ad26.COV2.S vaccines. By the end of 2021, more than 317 million vaccine doses were administered in the adult population. This study aimed at estimating the effectiveness of the primary series of COVID-19 vaccination and booster shots in protecting against severe cases and deaths in Brazil during the first year of vaccination. Methods: A cohort dataset of over 158 million vaccination and severe cases records linked from official national registries was analyzed via a mixed-effects Poisson model, adjusted for age, state of residence, time after immunization, and calendar time to estimate the absolute vaccine effectiveness of the primary series of vaccination and the relative effectiveness of the booster. The method permitted analysis of effectiveness against hospitalizations and deaths, including in the periods of variant dominance. Findings: Vaccine effectiveness against severe cases and deaths remained over 25% and 50%, respectively, after 19 weeks from primary vaccination of BNT162b2, ChAdOx1, or CoronaVac vaccines. The boosters conferred greater protection than the primary series of vaccination, with heterologous boosters providing marginally greater protection than homologous. The effectiveness against hospitalization during the Omicron dominance in the 60+ years old population started at 61.7% (95% CI, 26.1-86.2) for ChAdOx1, 95.6% (95% CI, 82.4-99.9) for CoronaVac, and 72.3% (95% CI, 51.4-87.4) for the BNT162b2 vaccine. Interpretation: This study provides real-world evidence of the effectiveness of COVID-19 vaccination in Brazil, including during the Omicron wave, demonstrating protection even after waning effectiveness. Comparisons of the effectiveness among different vaccines require caution due to potential bias effects related to age groups, periods in the pandemic, and eventual behavioural changes. Funding: Fundação Oswaldo Cruz (FIOCRUZ), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ), Pan American Health Organization (PAHO), Departamento de Ciência e Tecnologia da Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos em Saúde do Ministério da Saúde do Brasil (DECIT/SCTIE/MS).

Indexed as

BrazilCOVID-19COVID-19 vaccinesEffectivenessLatin AmericaMoH, Ministry of HealthPandemicRegistry-based studyrVE, Relative Vaccine EffectivenessVE, Vaccine EffectivenessVOC, Variant of Concern

Identifiers

PMID36936517
PMCPMC10010656

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.