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

• Autor(a) principal: Maciel, Ethel
• 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 Lucia Gomes de, Cardoso , Orlei Amaral, Medeiros Junior , Nésio Fernandes de, Bastos , Whisllay Maciel, Bertolani , Marlon Neves, Silva , Leticia Tabachi, Zandonade , Eliana
• Tipo de documento: preprint
• Idioma: por
• Título da fonte: SciELO Preprints
• Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/2446
• topic: Infecções por Coronavirus; Prevalência; Habitação; Distribuição Espacial da População; Coronavirus Infections; Prevalence; Housing; Population spacial distribution

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.