Evidence map›Paper›PMID 41904442›Full record

ArticleBMC infectious diseases2026

Prevalence and predictive factors of long COVID in nurses in Brazil.

José Francisco Martoreli Júnior, Laelson Rochelle Milanês Sousa, Andrey Oeiras Pedroso, Laís do Espírito Santo Lima, Cristine Maria Pereira Gusmão, Cristina Mara Zamarioli, Mayra Gonçalves Menegueti, Ana Cristina de Oliveira E Silva, Glenda Roberta Oliveira Naiff Ferreira, Elucir Gir and 1 more

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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

José Francisco Martoreli JúniorUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil. jose.martoreli@usp.br.
Laelson Rochelle Milanês SousaState University of Maranhão, Coroatá, Brazil.
Andrey Oeiras PedrosoUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil.
Laís do Espírito Santo LimaUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil.
Cristine Maria Pereira GusmãoUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil.
Cristina Mara ZamarioliUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil.
Mayra Gonçalves MeneguetiUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil.
Ana Cristina de Oliveira E SilvaCenter for Exact and Natural Sciences, Federal University of Paraíba, João Pessoa, Brazil.
Glenda Roberta Oliveira Naiff FerreiraInstitute of Health Science, Federal University of Pará, Belém, Brazil.
Elucir GirUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil.
Renata Karina ReisUniversity of São Paulo at Ribeirão Preto College of Nursing, Brazil of Nursing, Ribeirão Preto, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has posed significant challenges to global public health, particularly affecting nursing professionals, owing to their continuous exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and intense working conditions. This study aims to analyze the frequency and predictors of symptoms persisting for 4 weeks or more after COVID-19 among Brazilian nurses, examining associations with situational and clinical variables.

methodsA cross-sectional study was conducted involving 3,155 nurses from all macroregions of Brazil who tested positive for COVID-19, of whom 1,921 reported persistent symptoms lasting four weeks or more due to COVID-19. Data collection included sociodemographic, situational, and clinical variables. The statistical tests chi-square was applied to assess differences between independent variables and symptom persistence. Additionally, in order to assess associations between the outcome variable and independent variables a logistic regression were applied. Finally co-occurrence analysis and the Jaccard index were used to identify patterns associated with persistency of COVID-19 symptoms.

resultsThe study consisted of 3,155 nurses, predominantly female (84.0%). The prevalence of symptoms persisting for four weeks or longer after COVID-19 through the sample was 60,9%. Chronic conditions were reported by 33.0% of the participants, the most common persistent symptoms included fatigue (70.0%), memory loss (68.8%). Statistically significant associations were observed between long COVID-19 duration and the presence of comorbidities, especially rhinitis and obesity (p < 0.01). Cooccurrence analysis revealed strong correlations between cough and memory loss (Jaccard = 0.980), insomnia and loss of taste (0.978).

conclusionsThe findings highlight the complexity of COVID-19 among Brazilian nurses and identify clinical and sociodemographic factors associated with persistent symptoms, informing strategies to support affected healthcare professionals. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

COVID-19NursesAdultBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsPost-Acute COVID-19 SyndromePrevalenceRisk FactorsSARS-CoV-2COVID-19Long COVIDNurses

Identifiers

PMID41904442
PMCPMC13151105

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LicenceCC BY-NC-ND
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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.