COVID-19: profile of Brazilian workers of a mining company and the dynamic of community cases
Year: 2023
Type: article
Study design: Observational Study
Abstract: Objective: to describe the COVID-19 clinical outcomes profile from mining workers and the cases dynamic within the mining units and their respective municipalities. Methods: a cohort and ecological study using workers clinical-epidemiological, sociodemographic, and occupational secondary data of a multinational mining company, and of COVID-19 cases from five municipalities where the mining units were located, in Brazil, between March 2020 to April 2021. We calculated the cases cumulative incidence and the 7-day moving average (MA), and compared at the mining unit and respective municipality. Results: the study included 17,523 workers, 88.4% male, and 22.6% had at least one positive result for COVID-19. The workers most tested, with positive results, placed in quarantine, and with symptoms were female, middle-aged, living and working in Rio de Janeiro state, directly hired by the mining company, in shift-work, and in high-risk occupations. All mining units presented a cumulative incidence higher than their respective municipalities. Three municipalities showed peaks of COVID-19 with MA cases coinciding with an increase in cases among mining workers. Conclusion: approximately one-fifth of workers were diagnosed with COVID-19. The mining units had a similar temporal distribution of COVID-19 cases to the municipalities where they were located.
Authors: Magda do Carmo Parajára, Juliana Ilídio da Silva, Luiz Antônio Alves de Menezes-Júnior, Aline Dayrell Ferreira Sales, Amélia Augusta de Lima Friche, Elaine Leandro Machado, Luiz Sérgio Silva, Amanda Cristina de Souza Andrade, Silvia Nascimento de Freitas, Waleska Teixeira Caiaffa, Adriana Lúcia Meireles
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Fundação de Desenvolvimento da Pesquisa, Universidade Federal de Minas Gerais, Universidade Federal de Ouro Preto, Universidade Federal de Mato Grosso do Sul
Awards: G1426168670, G29316538
OpenAlex ID: W4388837019
