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

• Main Authors: Roberta Fernandes Correia (Author), Ana Carolina Carioca da Costa (Author), Daniella Campelo Batalha Cox Moore (Author), Saint Clair Gomes Junior (Author), Maria Paula Carneiro de Oliveira (Author), Maria Célia Chaves Zuma (Author), Rômulo Gonçalves Galvani (Author), Wilson Savino (Author), Adriana Cesar Bonomo (Author), Zilton Farias Meira Vasconcelos (Author), Elizabeth Artmann (Author)
• Format: Book
• Published: Elsevier, 2022-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

Summary: 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.

Item Description

2667-193X
10.1016/j.lana.2021.100170