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COVID-19 risk areas associated with social vulnerability in northeastern Brazil: an ecological study in 2020.
Alencar do Nascimento, Cícera Maria; Freire De Souza, Carlos Dornels; De Oliveira Silva, Lucas Emanuel; Oliveira Silva, Wedja; Amaro Barbosa, Nicolas; Feliciano do Carmo, Rodrigo; De Lima Andrade, Esdras; Henrique de Oliveira Teixeira, Sérgio; José Matos Rocha, Thiago.
Afiliação
  • Alencar do Nascimento CM; Programa de Pós-Graduação em Análise de Sistemas Ambientais, Cesmac, Maceió, Alagoas, Brasil.
  • Freire De Souza CD; Programa de Pós-Graduação em Saúde da Família, Universidade Federal de Alagoas, Maceió, Brasil. carlos.freire@arapiraca.ufal.br.
  • De Oliveira Silva LE; Universidade Estadual de Ciências da Saúde de Alagoas, Maceió, Alagoas, Brasil.
  • Oliveira Silva W; Campus de Engenharia e Ciências Agrárias, Universidade Federal de Alagoas, Maceió, Alagoas, Brasil.
  • Amaro Barbosa N; Universidade Estadual de Ciências da Saúde de Alagoas, Maceió, Alagoas, Brasil.
  • Feliciano do Carmo R; Colegiado de Ciências Farmacêuticas, Universidade Federal do Vale do São Francisco, Petrolina, Pernambuco, Brasil.
  • De Lima Andrade E; Instituto de Geografia, Desenvolvimento e Meio Ambiente, Universidade Federal de Alagoas, Alagoas, Brasil.
  • Henrique de Oliveira Teixeira S; Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas.
  • José Matos Rocha T; Universidade Estadual de Ciências da Saúde de Alagoas, Maceió, Alagoas, Brasil.
J Infect Dev Ctries ; 16(8): 1285-1293, 2022 08 30.
Article em En | MEDLINE | ID: mdl-36099371
ABSTRACT

INTRODUCTION:

COVID-19 is a major public health concern in this century. The causative agent SARS-CoV-2, is highly contagious and spreads continuously across territories. Spatial analysis is of enormous importance in the process of understanding the disease and its transmission mechanisms. We aimed to identify the risk areas for COVID-19 and analyze their association with social vulnerability in Maceió, Alagoas. The study was conducted in 2020.

METHODOLOGY:

This is an ecological study to evaluate the incidence, mortality and case fatality rate of COVID-19 and their relationship with 12 indicators of human development and social vulnerability. Multivariate and spatial statistics were applied. A 95% confidence interval and a 5% confidence level were considered.

RESULTS:

The spatial scan statistic revealed the existence of six high-risk clusters for the incidence of COVID-19. The regression model showed that social indicators, such as literacy of people, residents of private households, households with more than four residents, and resident brown population, were associated with COVID-19 transmission in Maceió-AL. The disease affected localities whose populations are exposed to a context of intense socioeconomic vulnerability.

CONCLUSIONS:

Based on the results, it is necessary to adopt measures that take into account the social determinants of health in order to minimize the damage caused by the pandemic.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Infect Dev Ctries Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Infect Dev Ctries Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil