Revista Brasileira de Epidemiologia ()

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

  • Ethel Leonor Noia Maciel,
  • Pablo Medeiros Jabor,
  • Laylla Ribeiro Macedo,
  • Gilton Luiz Almada,
  • Raphael Lubiana Zanotti,
  • Crispim Cerutti Junior,
  • Cristiana Costa Gomes,
  • Filomena Euridice Carvalho de Alencar,
  • Tania Reuter,
  • Vera Lúcia Gomes de Andrade,
  • Orlei Amaral Cardoso,
  • Nésio Fernandes de Medeiros Junior,
  • Whisllay Maciel Bastos,
  • Marlon Neves Bertolani,
  • Leticia Tabachi Silva,
  • Eliana Zandonade

DOI
https://doi.org/10.1590/1980-549720210048

Abstract

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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.

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