Assessment of the potential for morbidity and mortality from COVID-19 in rural quilombola communities in Goiás, Brazil

Authors

  • Valéria Pagotto Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: valeriapagotto@ufg.br.
  • Paulo Sérgio Scalize Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: pscalize.ufg@gmail.com. https://orcid.org/0000-0002-0833-7826
  • Rafael Alves Guimarães Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: rafaelalves@ufg.br. https://orcid.org/0000-0001-5171-7958
  • Daniela Gonçalves Barros Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: daani.barros1@gmail.com.
  • Silene Lima Dourado Ximenes Santos Fundação Nacional de Saúde Pública (FUNASA), Brasília, Distrito Federal, Brasil. E-mail: silenexfunasa@gmail.com. https://orcid.org/0000-0003-3232-1776
  • Ysabella de Paula dos Reis Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: ysabella.eng@gmail.com.
  • Thaynara Lorrayne de Oliveira Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: thaynaralorrayne_@hotmail.com.
  • Nayana Cristina Souza Camargo Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: cristynay@gmail.com.
  • Nolan Ribeiro Bezerra Instituto Federal de Educação, Ciência e Tecnologia de Goiás (IFG), Goiânia, Goiás, Brasil. E-mail: nolan.teixeira@ifg.edu.br.
  • Luis Rodrigo Fernandes Baumann Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: fbaumann@ufg.br. https://orcid.org/0000-0001-5308-9721
  • Bárbara Souza Rocha Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brasil. E-mail: barbararocha@ufg.br.

DOI:

https://doi.org/10.5216/ree.v24.69334

Keywords:

Coronavirus Infections, Rural Population, Indicators of Morbidity and Mortality, Vulnerable Populations

Abstract

Objective: to analyze the potential for morbidity and mortality from COVID-19 in rural quilombola communities. Methods: cross-sectional study, with 26 communities in the State of Goiás. The Analytic Hierarchy Process (AHP) method was used, which ranks criteria to estimate the COVID-19 morbidity and mortality priority index, namely: male gender, age ≥ 60 years, diabetes, cancer, hypertension, smoking, dyslipidemia and obesity. Results: among the 1,672 respondents, 52.0% were men, 19.0% ≥ 60 years, 5.5% self-reported diabetes, 19.6% hypertension, 9.2% dyslipidemia, 1.3% obesity, 0.4% cancer and 13.9% smoking. There was a lower priority index in the Engenho 2 community, and higher in the Buracão; where: age ≥ 60 years in the Quilombo do Magalhães; male gender in the Kalunga dos Morros; diabetes and hypertension in the Tomás Cardoso; dyslipidemia in the Almeidas; obesity in the Buracão; cancer in the Água Limpa; smoking in the José de Coleto. Conclusion: there were different potential for morbidity and mortality from COVID-19, demonstrating which community has the highest/lowest priority for strategic actions to face the pandemic.

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Published

2022-12-30

Issue

Vol. 24 (2022)

Section

Original Article

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