Selected article for: "ability access and low education"

Author: Li, Sabrina L; Pereira, Rafael H M; Prete Jr, Carlos A; Zarebski, Alexander E; Emanuel, Lucas; Alves, Pedro J H; Peixoto, Pedro S; Braga, Carlos K V; de Souza Santos, Andreza Aruska; de Souza, William M; Barbosa, Rogerio J; Buss, Lewis F; Mendrone, Alfredo; de Almeida-Neto, Cesar; Ferreira, Suzete C; Salles, Nanci A; Marcilio, Izabel; Wu, Chieh-Hsi; Gouveia, Nelson; Nascimento, Vitor H; Sabino, Ester C; Faria, Nuno R; Messina, Jane P
Title: Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil
  • Cord-id: wasts18l
  • Document date: 2021_4_29
  • ID: wasts18l
    Snippet: INTRODUCTION: Little evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in São Paulo state, Brazil, and show how vulnerability to COVID-19 is shaped by socioeconomic inequalities. METHODS: We conducted a cross-sectional study using hospitalised severe acute respiratory infections notified from March to August 2020 in the Sistema de Monitoramento Inteligente de São Paulo datab
    Document: INTRODUCTION: Little evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in São Paulo state, Brazil, and show how vulnerability to COVID-19 is shaped by socioeconomic inequalities. METHODS: We conducted a cross-sectional study using hospitalised severe acute respiratory infections notified from March to August 2020 in the Sistema de Monitoramento Inteligente de São Paulo database. We examined the risk of hospitalisation and death by race and socioeconomic status using multiple data sets for individual-level and spatiotemporal analyses. We explained these inequalities according to differences in daily mobility from mobile phone data, teleworking behaviour and comorbidities. RESULTS: Throughout the study period, patients living in the 40% poorest areas were more likely to die when compared with patients living in the 5% wealthiest areas (OR: 1.60, 95% CI 1.48 to 1.74) and were more likely to be hospitalised between April and July 2020 (OR: 1.08, 95% CI 1.04 to 1.12). Black and Pardo individuals were more likely to be hospitalised when compared with White individuals (OR: 1.41, 95% CI 1.37 to 1.46; OR: 1.26, 95% CI 1.23 to 1.28, respectively), and were more likely to die (OR: 1.13, 95% CI 1.07 to 1.19; 1.07, 95% CI 1.04 to 1.10, respectively) between April and July 2020. Once hospitalised, patients treated in public hospitals were more likely to die than patients in private hospitals (OR: 1.40%, 95% CI 1.34% to 1.46%). Black individuals and those with low education attainment were more likely to have one or more comorbidities, respectively (OR: 1.29, 95% CI 1.19 to 1.39; 1.36, 95% CI 1.27 to 1.45). CONCLUSIONS: Low-income and Black and Pardo communities are more likely to die with COVID-19. This is associated with differential access to quality healthcare, ability to self-isolate and the higher prevalence of comorbidities.

    Search related documents:
    Co phrase search for related documents
    • accuracy limit and low access: 1
    • acute respiratory infection and additional research: 1, 2, 3, 4, 5
    • acute respiratory infection and adjusted crude: 1
    • acute respiratory infection and living condition: 1
    • acute respiratory infection and local level: 1
    • acute respiratory infection and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72
    • acute respiratory infection and long period: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • acute respiratory infection and low ability: 1, 2
    • acute respiratory infection and low access: 1, 2, 3
    • acute respiratory infection and low education: 1
    • acute respiratory infection and low educational attainment: 1
    • acute respiratory infection and low income: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31
    • acute respiratory infection and low income individual: 1
    • acute respiratory infection and low income population: 1, 2
    • acute respiratory infection and low socioeconomic: 1, 2
    • acute respiratory infection and low socioeconomic status: 1, 2
    • additional research and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14