Evidence map›Paper›PMID 35366959›Full record

ArticleThe Lancet. Infectious diseases2022

Effectiveness of CoronaVac, ChAdOx1 nCoV-19, BNT162b2, and Ad26.COV2.S among individuals with previous SARS-CoV-2 infection in Brazil: a test-negative, case-control study.

Thiago Cerqueira-Silva, Jason R Andrews, Viviane S Boaventura, Otavio T Ranzani, Vinicius de Araújo Oliveira, Enny S Paixão, Juracy Bertoldo Júnior, Tales Mota Machado, Matt D T Hitchings, Murilo Dorion and 10 more

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 6 pooled it
12.1field-weighted citation impact, top 1% 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

85 citing papers in PubMed, 6 syntheses or guidelines pooled it, 123 citations in OpenAlex.

  1. Globally approved vaccines for COVID-19: a systematic review.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 3 countries.

Thiago Cerqueira-SilvaInstituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA.
Viviane S BoaventuraInstituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.
Otavio T RanzaniBarcelona Institute for Global Health, Barcelona, Spain; Pulmonary Division, Heart Institute, Hospital das Clínicas, Faculdade de Medicina, São Paulo, SP, Brazil.
Vinicius de Araújo OliveiraInstituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Center for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.
Enny S PaixãoDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Juracy Bertoldo JúniorCenter for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA, Brazil.
Tales Mota MachadoDiretoria de Tecnologia da Informação, Universidade Federal de Ouro Preto, Ouro Preto, MG, Brazil.
Matt D T HitchingsDepartment of Biostatistics, College of Public Health & Health Professions, University of Florida, Gainesville, FL, USA.
Murilo DorionDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Margaret L LindDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Gerson O PennaNúcleo de Medicina Tropical, Universidade de Brasília, Brasília, DF, Brazil; Escola Fiocruz de Governo, Fiocruz Brasília, Brasília, DF, Brazil.
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, FL, USA; Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Natalie E DeanDepartment of Biostatistics & Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Guilherme Loureiro WerneckDepartamento de Epidemiologia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Neil PearceDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK.
Mauricio L BarretoCenter for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA, Brazil.
Albert I KoInstituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Julio CrodaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil; Fiocruz Mato Grosso do Sul, Fiocruz, Campo Grande, MS, Brazil. Electronic address: julio.croda@fiocruz.br.
Manoel Barral-NettoInstituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Center for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.
London School of Hygiene & Tropical Medicine · GBYale University · USEmory University · USStanford University · USUniversidade do Estado do Rio de Janeiro · BRUniversidade Federal de Ouro Preto · BRUniversity of Florida · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundCOVID-19 vaccines have proven highly effective among individuals without a previous SARS-CoV-2 infection, but their effectiveness in preventing symptomatic infection and severe outcomes among individuals with previous infection is less clear. We aimed to estimate the effectiveness of four COVID-19 vaccines against symptomatic infection, hospitalisation, and death for individuals with laboratory-confirmed previous SARS-CoV-2 infection.

methodsUsing national COVID-19 notification, hospitalisation, and vaccination datasets from Brazil, we did a test-negative, case-control study to assess the effectiveness of four vaccines (CoronaVac [Sinovac], ChAdOx1 nCoV-19 [AstraZeneca], Ad26.COV2.S [Janssen], and BNT162b2 [Pfizer-BioNtech]) for individuals with laboratory-confirmed previous SARS-CoV-2 infection. We matched cases with RT-PCR positive, symptomatic COVID-19 with up to ten controls with negative RT-PCR tests who presented with symptomatic illnesses, restricting both groups to tests done at least 90 days after an initial infection. We used multivariable conditional logistic regression to compare the odds of test positivity and the odds of hospitalisation or death due to COVID-19, according to vaccination status and time since first or second dose of vaccines.

findingsBetween Feb 24, 2020, and Nov 11, 2021, we identified 213 457 individuals who had a subsequent, symptomatic illness with RT-PCR testing done at least 90 days after their initial SARS-CoV-2 infection and after the vaccination programme started. Among these, 30 910 (14·5%) had a positive RT-PCR test consistent with reinfection, and we matched 22 566 of these cases with 145 055 negative RT-PCR tests from 68 426 individuals as controls. Among individuals with previous SARS-CoV-2 infection, vaccine effectiveness against symptomatic infection 14 or more days from vaccine series completion was 39·4% (95% CI 36·1-42·6) for CoronaVac, 56·0% (51·4-60·2) for ChAdOx1 nCoV-19, 44·0% (31·5-54·2) for Ad26.COV2.S, and 64·8% (54·9-72·4) for BNT162b2. For the two-dose vaccine series (CoronaVac, ChAdOx1 nCoV-19, and BNT162b2), effectiveness against symptomatic infection was significantly greater after the second dose than after the first dose. Effectiveness against hospitalisation or death 14 or more days from vaccine series completion was 81·3% (75·3-85·8) for CoronaVac, 89·9% (83·5-93·8) for ChAdOx1 nCoV-19, 57·7% (-2·6 to 82·5) for Ad26.COV2.S, and 89·7% (54·3-97·7) for BNT162b2.

interpretationAll four vaccines conferred additional protection against symptomatic infections and severe outcomes among individuals with previous SARS-CoV-2 infection. The provision of a full vaccine series to individuals after recovery from COVID-19 might reduce morbidity and mortality.

fundingBrazilian National Research Council, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Oswaldo Cruz Foundation, JBS, Instituto de Salud Carlos III, Spanish Ministry of Science and Innovation, and Generalitat de Catalunya.

Indexed as

COVID-19COVID-19 VaccinesAd26COVS1BNT162 VaccineBrazilCase-Control StudiesChAdOx1 nCoV-19HumansSARS-CoV-2Ad26COVS1BNT162 VaccineChAdOx1 nCoV-19COVID-19 Vaccines

Identifiers

PMID35366959
PMCPMC8971277
OpenAlexW4220930132

What OpenQuestion holds

Textmetadata
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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.