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Covid-19 in subnormal and non-subnormal cluster areas in Espírito Santo, Brazil

##article.authors##

  • Ethel Maciel Universidade Federal do Espírito Santo https://orcid.org/0000-0003-4826-3355
  • Pablo Medeiros Jabor Instituto Jones dos Santos Neves
  • Laylla Ribeiro Macedo Universidade Federal do Espírito Santo, Laboratório de Epidemiologia https://orcid.org/0000-0002-6246-3559
  • Gilton Luiz Almada Secretaria de Estado da Saúde do Espírito Santo
  • Raphael Lubiana Zanotti Secretaria Estadual de Saúde do Espírito Santo
  • Crispim Cerutti Junior Universidade Federal do Espírito Santo
  • Cristiana Costa Gomes OPAS
  • Filomena Euridice Carvalho de Alencar Universidade Federal do Espírito Santo
  • Tania Reuter Hospital Universitário Cassiano Antonio de Moraes
  • Vera Lucia Gomes de Andrade Secretaria Estadual de Saúde do Espírito Santo
  • Orlei Amaral Cardoso Secretaria Estadual de Saúde do Espírito Santo
  • Nésio Fernandes de Medeiros Junior Secretaria Estadual de Saúde do Espírito Santo
  • Whisllay Maciel Bastos Secretaria Estadual de Saúde do Tocantins
  • Marlon Neves Bertolani Instituto Jones dos Santos Neves
  • Leticia Tabachi Silva Instituto Jones dos Santos Neves
  • Eliana Zandonade Universidade Federal do Espírito Santo, Centro de Ciências Exatas

DOI:

https://doi.org/10.1590/SciELOPreprints.2446

Keywords:

Coronavirus Infections, Prevalence, Housing, Population spacial distribution

Abstract

Objectives: to estimate the prevalence of SARS-CoV-2 infection in residents of the Greater Vitória region living in subnormal and non-subnormal agglomerations; and, compare sociodemographic and clinical characteristics of total residents (infected and not infected with SARS-CoV-2), among these clusters. Method: Population-based prevalence study, through serological testing carried out in 2020, with a study unit in households in Greater Vitória, grouped into census tracts classified as sub-normal clusters (AGSN) and non-sub-normal clusters (AGNSN ). The two groups were compared in terms of prevalence and associated factors. The significance level adopted was 5%. Results: The prevalence found in the AGSN was 12.05% (95% CI from 9.59 to 14.50%), and in the AGNSN group it was 10.23% (95% CI from 7.97% to 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 SGNA, a higher percentage of illiterates and people with only elementary education, greater number of residents per household, longer stay in public transport, sharing a bathroom with another household , fewer bedrooms per residence and higher frequency of irregular water supply when compared to AGNSN(P<0.05). Conclusions: The epidemiological characteristics of the SNGA residents show the social inequalities that can hinder control measures in a pandemic situation.

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Posted

06/10/2021

How to Cite

Maciel, E., Jabor , P. M., Macedo, L. R., Almada, G. L., Zanotti , R. L., Cerutti Junior , C. ., Gomes , C. C., Alencar , F. E. C. de, Reuter, T. ., Andrade , V. L. G. de, Cardoso , O. A., Medeiros Junior , N. F. de, Bastos , W. M., Bertolani , M. N., Silva , L. T., & Zandonade , E. . (2021). Covid-19 in subnormal and non-subnormal cluster areas in Espírito Santo, Brazil. In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.2446

Section

Health Sciences