Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil

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.Me...

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Main Authors: Chieh-hsi Wu, Sabrina L Li, Rafael H M Pereira, Carlos A Prete Jr, Alexander E Zarebski, Lucas Emanuel, Pedro J H Alves, Pedro S Peixoto, Carlos K V Braga, Andreza Aruska de Souza Santos, William M de Souza, Rogerio J Barbosa, Lewis F Buss, Alfredo Mendrone, Cesar de Almeida-Neto, Suzete C Ferreira, Nanci A Salles, Izabel Marcilio, Nelson Gouveia, Vitor H Nascimento, Ester C Sabino, Nuno R Faria, Jane P Messina
Format: Article
Language:English
Published: BMJ Publishing Group 2021-04-01
Series:BMJ Global Health
Online Access:https://gh.bmj.com/content/6/4/e004959.full
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author Chieh-hsi Wu
Sabrina L Li
Rafael H M Pereira
Carlos A Prete Jr
Alexander E Zarebski
Lucas Emanuel
Pedro J H Alves
Pedro S Peixoto
Carlos K V Braga
Andreza Aruska de Souza Santos
William M de Souza
Rogerio J Barbosa
Lewis F Buss
Alfredo Mendrone
Cesar de Almeida-Neto
Suzete C Ferreira
Nanci A Salles
Izabel Marcilio
Nelson Gouveia
Vitor H Nascimento
Ester C Sabino
Nuno R Faria
Jane P Messina
spellingShingle Chieh-hsi Wu
Sabrina L Li
Rafael H M Pereira
Carlos A Prete Jr
Alexander E Zarebski
Lucas Emanuel
Pedro J H Alves
Pedro S Peixoto
Carlos K V Braga
Andreza Aruska de Souza Santos
William M de Souza
Rogerio J Barbosa
Lewis F Buss
Alfredo Mendrone
Cesar de Almeida-Neto
Suzete C Ferreira
Nanci A Salles
Izabel Marcilio
Nelson Gouveia
Vitor H Nascimento
Ester C Sabino
Nuno R Faria
Jane P Messina
Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil
BMJ Global Health
author_facet Chieh-hsi Wu
Sabrina L Li
Rafael H M Pereira
Carlos A Prete Jr
Alexander E Zarebski
Lucas Emanuel
Pedro J H Alves
Pedro S Peixoto
Carlos K V Braga
Andreza Aruska de Souza Santos
William M de Souza
Rogerio J Barbosa
Lewis F Buss
Alfredo Mendrone
Cesar de Almeida-Neto
Suzete C Ferreira
Nanci A Salles
Izabel Marcilio
Nelson Gouveia
Vitor H Nascimento
Ester C Sabino
Nuno R Faria
Jane P Messina
author_sort Chieh-hsi Wu
title Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil
title_short Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil
title_full Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil
title_fullStr Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil
title_full_unstemmed Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil
title_sort higher risk of death from covid-19 in low-income and non-white populations of são paulo, brazil
publisher BMJ Publishing Group
series BMJ Global Health
issn 2059-7908
publishDate 2021-04-01
description 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.
url https://gh.bmj.com/content/6/4/e004959.full
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spelling doaj-e0ddfb2984bf4e5599d8d5a3632c60ee2021-05-09T09:30:41ZengBMJ Publishing GroupBMJ Global Health2059-79082021-04-016410.1136/bmjgh-2021-004959Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, BrazilChieh-hsi Wu0Sabrina L Li1Rafael H M Pereira2Carlos A Prete Jr3Alexander E Zarebski4Lucas Emanuel5Pedro J H Alves6Pedro S Peixoto7Carlos K V Braga8Andreza Aruska de Souza Santos9William M de Souza10Rogerio J Barbosa11Lewis F Buss12Alfredo Mendrone13Cesar de Almeida-Neto14Suzete C Ferreira15Nanci A Salles16Izabel Marcilio17Nelson Gouveia18Vitor H Nascimento19Ester C Sabino20Nuno R Faria21Jane P Messina22Mathematical Sciences, University of Southampton, Southampton, UKSchool of Geography and the Environment, University of Oxford, Oxford, UKInstitute of Applied Economic Research, Brasília, BrazilDepartment of Electronic Systems Engineering, University of São Paulo, São Paulo, BrazilDepartment of Zoology, University of Oxford, Oxford, UKInstitute of Applied Economic Research, Brasília, BrazilInstitute of Applied Economic Research, Brasília, BrazilDepartment of Applied Mathematics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, BrazilInstitute of Applied Economic Research, Brasília, BrazilOxford School of Global and Area Studies, Latin American Centre, University of Oxford, Oxford, UKDepartment of Zoology, University of Oxford, Oxford, UKInstitute of Social and Political Studies (IESP), State University of Rio de Janeiro (UERJ), Rio de Janeiro, BrazilDepartamento de Molestias Infecciosas e Parasitarias andInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, BrazilFundação Pró-Sangue Hemocentro de São Paulo, São Paulo, BrazilFundação Pró-Sangue Hemocentro de São Paulo, São Paulo, BrazilFundação Pró-Sangue Hemocentro de São Paulo, São Paulo, BrazilFundação Pró-Sangue Hemocentro de São Paulo, São Paulo, BrazilHospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, University of São Paulo, São Paulo, BrazilDepartment of Preventive Medicine, University of São Paulo Medical School, São Paulo, BrazilDepartment of Electronic Systems Engineering, University of São Paulo, São Paulo, BrazilDepartamento de Molestias Infecciosas e Parasitarias andInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, BrazilDepartment of Zoology, University of Oxford, Oxford, UKSchool of Geography and the Environment, University of Oxford, Oxford, UKIntroduction 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.https://gh.bmj.com/content/6/4/e004959.full