Evidence map›Paper›PMID 39934893›Full record

ArticleHuman resources for health2025

Mapping the viral battlefield: SARS-CoV-2 infection dynamics among healthcare workers in Brazil.

Antonio Luiz Dal Bello Gasparoto, Samara Vilas-Bôas Graeff, Wellyngton Matheus de Souza Santiago, Danielle Gomes da Silva, Thaynara Azevedo Dos Santos, Leandro Martin Paulino, Wellington Santos Fava, Fernanda Paes Reis, Claudia Stutz, Adriana de Oliveira França and 18 more

Abstract read
In one paragraph

Article in Human resources for health, 2025. 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

28 authors.

Antonio Luiz Dal Bello GasparotoUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Samara Vilas-Bôas GraeffUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Wellyngton Matheus de Souza SantiagoUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Danielle Gomes da SilvaUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Thaynara Azevedo Dos SantosUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Leandro Martin PaulinoUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Wellington Santos FavaUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Fernanda Paes ReisUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Claudia StutzFundação Oswaldo Cruz (Fiocruz) - Ceará and Programa de Pós-Graduação em Ciências Farmacêuticas, Faculdade de Ciências Farmacêuticas, Alimentos e Nutrição (FACFAN), Fundação Universidade Federal de Mato Grosso do Sul (UFMS), Eusébio, CE, 61773-270, Brazil.
Adriana de Oliveira FrançaUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Ana Tereza Gomes Guerrero MoureauFundação Oswaldo Cruz - Vice-Presidência de Ambiente, Atenção e Promoção da Saúde (VPAAPS/FIOCRUZ-RJ), Recife, PE, 50740-465, Brazil.
Camila Amato MontalbanoUniversidade Estadual de Mato Grosso do sul, Campo Grande, MS, 79115-898, Brazil.
Everton Ferreira LemosUniversidade Estadual de Mato Grosso do sul, Campo Grande, MS, 79115-898, Brazil.
Crhistinne Cavalheiro Maymone GonçalvesUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Carlos Alberto Bento JúniorUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Rodrigo Pires DallacquaUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Julio CrodaUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Aline Pedroso LorenzUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Cristina SouzaUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Taynara Nogueira MartinsUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Kassia Roberta Nogueira da SilvaUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Alda Maria Teixeira FerreiraUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Adriana Carla Garcia NegriUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Anamaria Mello Miranda PaniagoUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Ana Rita Coimbra Motta-CastroUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
James VenturiniUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Ana Paula da Costa MarquesUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil.
Sandra Maria do Valle Leone de OliveiraUniversidade Federal de Mato Grosso do sul, Campo Grande, MS, 79070-900, Brazil. sandra.leone@fiocruz.br.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Financial Code 001
6 · The paper itself

Abstract

backgroundUnderstanding the dynamics of SARS-CoV-2 viral infection and factors associated with in-hospital transmission rates among healthcare workers (HCW) is crucial for their protection. Brazil experienced high mortality rates due to COVID-19, and limited data are available on transmission of SARS-CoV-2 infection among HCW. This cohort study aimed to assess the dynamic of SARS-CoV-2 infections in HCW from two tertiary hospitals in central Brazil, one of them a Reference Hospital for COVID-19.

methodsFrom May 2020 to January 2021, 554 HCW directly involved with COVID-19 care were followed through 12 biweekly visits. During these visits, blood, nasal, and oropharyngeal samples were collected, and participants underwent interviews. SARS-CoV-2 detection was carried out using RT-qPCR, while the assessment of seroprevalence was based on IgG detection. Additionally, 35 positive samples underwent viral whole-genome sequencing.

resultsThe infection prevalence, as per RT-qPCR, was 28.5% (24.9-32.4), reflecting an overall attack rate ranging from 0.5% to 9.5%, marked by two peaks in August and December 2020. Oligosymptomatic and asymptomatic infections accounted for 14% of prevalent infections. The seroprevalence rate stood at 25.8%. The hospitalization rate was 8.2%, with a fatality rate of 1.3%. Risk factors associated with a positive diagnosis of COVID-19 included being male, working at the referral hospital, having a graduate-education level, and using hydroxychloroquine and zinc for prevention or treatment. One reinfection was identified. Absenteeism was 56.6%. The infection dynamics mirrored the pattern observed in the general population.

conclusionOne-third of the professionals in the followed cohort were infected. Being male, working in a COVID-19 referral center, having a low level of education, and using medications for preventive treatment represented risk factors. Healthcare workers at the COVID-19 referral hospital exhibited a higher incidence rate compared to those at the non-referral hospital, increasing the plausibility that some of the infections occur in the hospital environment.

Indexed as

COVID-19Health PersonnelAdultBrazilCohort StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSARS-CoV-2Seroepidemiologic StudiesAsymptomatic infectionCOVID-19EpidemiologyHealthcare workerSARS-CoV-2

Identifiers

PMID39934893
PMCPMC11817727

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.