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SARS-CoV-2 seroprevalence and social inequalities in different subgroups of healthcare workers in Rio de Janeiro, Brazil

BACKGROUND: COVID-19 has exacerbated health inequalities worldwide. Yet, such a perspective has not been investigated in specific healthcare workers and their resulting inclusion as a priority group for vaccination have been an important focus of political and social discussion. This study aimed at...

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Detalles Bibliográficos
Autores principales: Correia, Roberta Fernandes, da Costa, Ana Carolina Carioca, Moore, Daniella Campelo Batalha Cox, Gomes Junior, Saint Clair, de Oliveira, Maria Paula Carneiro, Zuma, Maria Célia Chaves, Galvani, Rômulo Gonçalves, Savino, Wilson, Bonomo, Adriana Cesar, Vasconcelos, Zilton Farias Meira, Artmann, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718903/
https://www.ncbi.nlm.nih.gov/pubmed/35005692
http://dx.doi.org/10.1016/j.lana.2021.100170
Descripción
Sumario:BACKGROUND: COVID-19 has exacerbated health inequalities worldwide. Yet, such a perspective has not been investigated in specific healthcare workers and their resulting inclusion as a priority group for vaccination have been an important focus of political and social discussion. This study aimed at investigating whether SARS-CoV-2-seropositivity in healthcare workers in a public hospital in Rio de Janeiro, Brazil, was influenced by social determinants of health and the social vulnerability in subgroups of workers. METHODS: A serological survey was conducted in 1,154 healthcare workers in June and July 2020. The association between the serological test results for detection of IgG antibodies to SARS-CoV-2 and socioeconomic, occupational characteristics and transportation used by the workers to commute was assessed using the Pearson´s chi-square test and Cramer's V. FINDINGS: Overall, the serum prevalence for the virus in the healthcare workers was 30% (342/1141). Non-white workers (208/561) with lower income (169/396) and schooling (150/353), as well as users of the mass transportation system (157/246) showed the highest infection rates. Importantly they mostly corresponded to hospital support workers (131/324), in particular the cleaning personnel (42/70). Accordingly, income, schooling and work modality appeared as negative predictors, as ascertained by forest plot analysis. INTERPRETATIONS: The data clearly illustrate the inequality in SARS-CoV-2 infection in the Brazilian population, comprising even healthcare workers of the Brazilian unified health system. FUNDINGS: This study was financed by Fiocruz, CNPq, Faperj, Capes, FOCEM/Mercosur and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.