Your browser doesn't support javascript.
loading
Area-level inequalities in Covid-19 outcomes in Brazil in 2020 and 2021: An analysis of 1,894,165 severe Covid-19 cases.
Boing, Antonio Fernando; Boing, Alexandra Crispim; Veras, Maria Amélia; de Lacerda, Josimari Telino; da Silva, Rafael Lopes Paixão; Barbato, Paulo Roberto; Fabrin, Caroline; Subramanian, S V.
Afiliación
  • Boing AF; Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil. Electronic address: antonio.boing@ufsc.br.
  • Boing AC; Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil.
  • Veras MA; Faculdade de Ciências Médicas da Santa Casa de São Paulo, SP, Brazil.
  • de Lacerda JT; Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil.
  • da Silva RLP; Instituto de Física Teórica, Universidade do Estado de São Paulo, SP, Brazil.
  • Barbato PR; Universidade Federal da Fronteira Sul, Campus Chapecó, SC, Brazil.
  • Fabrin C; Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil.
  • Subramanian SV; Harvard Center for Population & Development Studies, Harvard University, USA.
Prev Med ; 164: 107298, 2022 11.
Article en En | MEDLINE | ID: mdl-36220401
ABSTRACT
The study aims to analyze inequalities in Covid-19 outcomes in Brazil in 2020/2021 according to the per capita Gross Domestic Product (pcGDP) of municipalities. All cases of Severe Acute Respiratory Syndrome (SARS) who were hospitalized or died, regardless of hospitalization, registered in Brazil in 2020 and 2021 were analyzed (n = 2,902,742), including those with a confirmed diagnosis of Covid-19 (n = 1,894,165). We calculated lethality due to Covid-19, the performance of diagnostic tests among patients with SARS, and the hospital care received by those with Covid-19 according to the pcGDP of the patients' municipalities of residence. Data were analyzed for each epidemiological week and the risk of each outcome was estimated using Poisson regression. Municipalities in the lowest pcGDP decile had (i) 30% (95%CI 28%-32%) higher lethality from Covid-19, (ii) three times higher proportion of patients with SARS without the collection of biological material for the diagnosis of Covid-19, (iii) 16% (95%CI 15%-16%) higher proportion of SARS patients testing in a period longer than two days from the onset of symptoms, (iv) 140% (95%CI 134%-145%) higher absence of CT scan use. There is deep socioeconomic inequality among Brazilian municipalities regarding the occurrence of Covid-19 negative outcomes.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Prev Med Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Prev Med Año: 2022 Tipo del documento: Article