• Medientyp: E-Artikel
  • Titel: A decomposition analysis for socioeconomic inequalities in health status associated with the COVID-19 diagnosis and related symptoms during Brazil's first wave of infections
  • Beteiligte: França, Natália Cecília de [Verfasser:in]; Lima Campêlo, Guaracyane [Verfasser:in]; França, João Mário Santos de [Verfasser:in]; Vale, Eleydiane Maria Gomes [Verfasser:in]; Badagnan, Thaísa França [Verfasser:in]
  • Erschienen: 2021
  • Erschienen in: Economia ; 22(2021), 3 vom: Dez., Seite 251-264
  • Sprache: Englisch
  • DOI: 10.1016/j.econ.2021.09.002
  • Identifikator:
  • Schlagwörter: COVID-19 ; Decomposition analysis ; Health inequality ; Pre-existing disease ; Socioeconomic factors ; Aufsatz in Zeitschrift
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Recent studies have shown that COVID-19 affects different population groups asymmetrically. This work uses data from the National Survey of Households-PNAD COVID-19/IBGE-to quantify the socioeconomic inequality in health during the first wave of COVID-19 infections in Brazil. We use the concentration curve, the concentration index, and a decomposition analysis to verify the factors that most influence the inequalities in the specified health variables. We find a positive concentration index for the incidence rate, indicating a greater concentration of diagnoses (number of tests) among groups with higher income levels. When considering symptoms similar to a COVID-19 infection, inequality practically disappears. Among people with higher income, a pre-existing disease has a more significant contribution to the concentration of COVID-19 in the presence of correlated symptoms than in its diagnosis. Tests of dominance support the findings. Moreover, the decomposition results show that if the inequalities were explained only by race (non-white) and place of living (North and Northeast), there would be a concentration of COVID-19 among the poorest.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung - Nicht-kommerziell - Keine Bearbeitung (CC BY-NC-ND)