Evidence map›Paper›PMID 34678195›Full record

ArticleThe Lancet. Global health2021

High anti-SARS-CoV-2 antibody seroconversion rates before the second wave in Manaus, Brazil, and the protective effect of social behaviour measures: results from the prospective DETECTCoV-19 cohort.

Pritesh Lalwani, Roger V Araujo-Castillo, Christian A Ganoza, Bárbara Batista Salgado, Ivanildo Vieira Pereira Filho, Danielle Severino Sena da Silva, Thiago Barros do Nascimento de Morais, Maele Ferreira Jordão, Jessica Vanina Ortiz, Aguyda Rayany Cavalcante Barbosa and 10 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Antibody Response in Healthcare Workers During the SARS-CoV-2 Gamma Variant Outbreak in Manaus, Brazil.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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  7. Resolving the enigma of Iquitos and Manaus: A modeling analysis of multiple COVID-19 epidemic waves in two Amazonian cities.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 2 countries.

Pritesh LalwaniInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil. Electronic address: pritesh.lalwani@fiocruz.br.
Roger V Araujo-CastilloFacultad de Ciencias de la Salud, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Christian A GanozaInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Bárbara Batista SalgadoInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil.
Ivanildo Vieira Pereira FilhoInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil; Faculdade de Ciências Farmacêuticas, Universidade Federal do Amazonas, Manaus, Brazil.
Danielle Severino Sena da SilvaInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil.
Thiago Barros do Nascimento de MoraisInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil.
Maele Ferreira JordãoInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil.
Jessica Vanina OrtizInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil.
Aguyda Rayany Cavalcante BarbosaInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil; Instituto de Ciências Biológicas, Universidade Federal do Amazonas, Manaus, Brazil.
Wlademir Braga Salgado SobrinhoInstituto Leoônidas e Maria Deane, Fiocruz Amazoônia, Manaus, Brazil.
Isabelle Bezerra CordeiroInstituto de Ciências Biológicas, Universidade Federal do Amazonas, Manaus, Brazil.
Júlio Nino de Souza NetoCentro de Apoio Multidisciplinar, Universidade Federal do Amazonas, Manaus, Brazil.
Enedina Nogueira de AssunçãoCentro de Apoio Multidisciplinar, Universidade Federal do Amazonas, Manaus, Brazil.
Cristiano Fernandes da CostaFundação de Vigilância em Saúde do Amazonas, Manaus, Brazil.
Pedro Elias de SouzaPrograma de Pós-Graduação em Cirurgia, Faculdade de Medicina, Universidade Federal do Amazonas, Manaus, Brazil.
Bernardino Claudio de AlbuquerqueFaculdade de Medicina, Universidade Federal do Amazonas, Manaus, Brazil.
Spartaco Astofi-FilhoInstituto de Ciências Biológicas, Universidade Federal do Amazonas, Manaus, Brazil; Centro de Apoio Multidisciplinar, Universidade Federal do Amazonas, Manaus, Brazil.
DETECTCoV-19 Study Team
Jaila Dias Borges LalwaniFaculdade de Ciências Farmacêuticas, Universidade Federal do Amazonas, Manaus, Brazil. Electronic address: jaila@ufam.edu.br.
Universidade Federal do Amazonas · BRFundação de Medicina Tropical · BRFundação Oswaldo Cruz · BRPeruvian University of Applied Sciences · PEUniversidad Peruana Cayetano Heredia · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe city of Manaus, Brazil, has seen two collapses of the health system due to the COVID-19 pandemic. We report anti-SARS-CoV-2 nucleocapsid IgG antibody seroconversion rates and associated risk factors in Manaus residents before the second wave of the epidemic in Brazil.

methodsA convenience sample of adult (aged ≥18 years) residents of Manaus was recruited through online and university website advertising into the DETECTCoV-19 study cohort. The current analysis of seroconversion included a subgroup of DETECTCoV-19 participants who had at least two serum sample collections separated by at least 4 weeks between Aug 19 and Oct 2, 2020 (visit 1), and Oct 19 and Nov 27, 2020 (visit 2). Those who reported (or had no data on) having a COVID-19 diagnosis before visit 1, and who were positive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at visit 1 were excluded. Using an in-house ELISA, the reactivity index (RI; calculated as the optical density ratio of the sample to the negative control) for serum anti-SARS-CoV-2 nucleocapsid IgG antibodies was measured at both visits. We calculated the incidence of seroconversion (defined as RI values ≤1·5 at visit 1 and ≥1·5 at visit 2, and a ratio >2 between the visit 2 and visit 1 RI values) during the study period, as well as incidence rate ratios (IRRs) through cluster-corrected and adjusted Poisson regression models to analyse associations between seroconversion and variables related to sociodemographic characteristics, health access, comorbidities, COVID-19 exposure, protective behaviours, and symptoms.

findings2496 DETECTCoV-19 cohort participants returned for a follow-up visit between Oct 19 and Nov 27, 2020, of whom 204 reported having COVID-19 before the first visit and 24 had no data regarding previous disease status. 559 participants were seropositive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at baseline. Of the remaining 1709 participants who were seronegative at baseline, 71 did not meet the criteria for seroconversion and were excluded from the analyses. Among the remaining 1638 participants who were seronegative at baseline, 214 showed seroconversion at visit 2. The seroconversion incidence was 13·06% (95% CI 11·52-14·79) overall and 6·78% (5·61-8·10) for symptomatic seroconversion, over a median follow-up period of 57 days (IQR 54-61). 48·1% of seroconversion events were estimated to be asymptomatic. The sample had higher proportions of affluent and higher-educated people than those reported for the Manaus city population. In the fully adjusted and corrected model, risk factors for seroconversion before visit 2 were having a COVID-19 case in the household (IRR 1·49 [95% CI 1·21-1·83]), not wearing a mask during contact with a person with COVID-19 (1·25 [1·09-1·45]), relaxation of physical distancing (1·31 [1·05-1·64]), and having flu-like symptoms (1·79 [1·23-2·59]) or a COVID-19 diagnosis (3·57 [2·27-5·63]) between the first and second visits, whereas working remotely was associated with lower incidence (0·74 [0·56-0·97]).

interpretationAn intense infection transmission period preceded the second wave of COVID-19 in Manaus. Several modifiable behaviours increased the risk of seroconversion, including non-compliance with non-pharmaceutical interventions measures such as not wearing a mask during contact, relaxation of protective measures, and non-remote working. Increased testing in high-transmission areas is needed to provide timely information about ongoing transmission and aid appropriate implementation of transmission mitigation measures.

fundingMinistry of Education, Brazil; Fundação de Amparo à Pesquisa do Estado do Amazonas; Pan American Health Organization (PAHO)/WHO.

Indexed as

EpidemicsSeroconversionAdolescentAdultAgedAntibodies, ViralBrazilCOVID-19FemaleHumansImmunoglobulin GMaleMiddle AgedProspective StudiesSARS-CoV-2Social BehaviorAntibodies, ViralImmunoglobulin G

Identifiers

PMID34678195
PMCPMC8525986
OpenAlexW3139474118

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.