Living conditions, seroprevalence and symptoms of COVID-19 in slums in the Metropolitan Region of Vitória (Espírito Santo)

• Autor(a) principal: Maciel,Ethel Leonor Noia
• Data de Publicação: 2021
• Outros Autores: Jabor,Pablo Medeiros, Macedo,Laylla Ribeiro, Almada,Gilton Luiz, Zanotti,Raphael Lubiana, Cerutti Junior,Crispim, Gomes,Cristiana Costa, Alencar,Filomena Euridice Carvalho de, Reuter,Tania, Andrade,Vera Lúcia Gomes de, Cardoso,Orlei Amaral, Medeiros Junior,Nésio Fernandes de, Bastos,Whisllay Maciel, Bertolani,Marlon Neves, Silva,Leticia Tabachi, Zandonade,Eliana
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista brasileira de epidemiologia (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2021000100213
• topic: Coronavirus infections; Prevalence; Housing; Demography

ABSTRACT: Objectives: to estimate the prevalence of SARS-CoV-2 infection in residents of the Greater Vitória region living in subnormal and non-subnormal agglomerates, and to compare sociodemographic and clinical characteristics of total residents (infected and not infected with SARS-CoV-2) between them. Methods: Population-based prevalence study conducted by serological testing in 2020, with a study unit in households in Greater Vitória, grouped into census tracts classified as sub-normal agglomerates and non-sub-normal agglomerates. The two groups were compared in terms of prevalence and associated factors. The significance level adopted was 5%. Results: The prevalence found in the sub-normal clusters was 12.05% (95%CI 9.59–14.50), and in the non-sub-normal clusters 10.23% (95%CI 7.97–12.50) this difference was not statistically significant (p = 0.273). Comparing the sociodemographic characteristics, more people who declare themselves to be of mixed race were found in the sub-normal clusters, a higher percentage of illiterates and people with only elementary education, greater number of residents per household, longer stay in public transportation, sharing a bathroom with another household, fewer bedrooms per residence and higher frequency of irregular water supply when compared to non-sub-normal clusters (p < 0.05). Conclusions: The epidemiological characteristics of sub-normal clusters’ residents show the social inequalities that can hinder control measures in a pandemic situation.