COVID-19 mortality in Brazil: socioeconomic determinants across age groups

Authors

  • Tatiana Lorena da Luz Kaestner Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil. https://orcid.org/0000-0001-9262-2277
  • Luka David Lechinewski Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil. https://orcid.org/0000-0001-6582-2580
  • Lucas Henrique Olandoski Erbano Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.
  • Daiane Cristina Pazin Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil. https://orcid.org/0000-0002-6626-9147
  • Maria Helena Gaya Pitz Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.
  • Bruna Erbano Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.
  • Thyago Proença de Moraes Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.
  • Milton Severo Universidade do Porto, Institute of Public Health – Porto, Portugal. https://orcid.org/0000-0002-5787-4871
  • Marcia Olandoski Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.
  • Jose Faria-Neto Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil. https://orcid.org/0000-0002-1397-0634

DOI:

https://doi.org/10.5712/rbmfc21(48)4981

Keywords:

COVID-19, Mortality, Health Inequalities, Primary Health Care, Social Determinants of Health

Abstract

Introduction: COVID-19 mortality is known to be higher among older populations, but determinants across different age groups remain poorly understood in countries with significant social inequalities. Objective: To evaluate the association between socioeconomic inequalities, primary healthcare availability, and COVID-19 mortality across age groups in Brazil during 2020. Methods: A population-based ecological study was conducted using data from the Ministry of Health and the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística – IBGE. COVID-19 mortality rates were analyzed in three age groups (<30, 30–59, and ≥60 years) across 26 states and the Federal District. Negative Binomial Regression models adjusted for population size were fitted. Results: Mortality varied significantly by state and age group. Higher income inequality (Gini Index) was consistently associated with increased mortality (p<0.05), while greater availability of primary healthcare teams was linked to lower mortality (p<0.05). Conclusions: Social inequalities were associated with higher COVID-19 mortality in Brazil, underscoring the need for equitable public health policies and stronger primary healthcare systems.

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Author Biographies

Tatiana Lorena da Luz Kaestner, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

Curitiba- Paraná

http://lattes.cnpq.br/0038482911222925

Luka David Lechinewski, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

Curitiba Paraná

http://lattes.cnpq.br/4561913072604998

Lucas Henrique Olandoski Erbano, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

http://lattes.cnpq.br/9049853351192168

Curitiba- Parana

Daiane Cristina Pazin, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

Curitiba- Paraná

http://lattes.cnpq.br/2758525941892285

Maria Helena Gaya Pitz, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

Curitiba- Paraná

http://lattes.cnpq.br/6221454922526392

Bruna Erbano, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

 

Curitiba- Paraná

http://lattes.cnpq.br/2375441274656442

Thyago Proença de Moraes, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

Curitiba- Paraná

http://lattes.cnpq.br/8933335840517872

Milton Severo, Universidade do Porto, Institute of Public Health – Porto, Portugal.

Porto- Portugal 

Marcia Olandoski, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

http://lattes.cnpq.br/3319513588033255

Curitiba- Paraná

Jose Faria-Neto, Pontifícia Universidade Católica do Paraná – Curitiba (PR), Brasil.

Curitiba- Paraná

http://lattes.cnpq.br/5672852682838022

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Published

2026-10-30

How to Cite

1.
Kaestner TL da L, Lechinewski LD, Erbano LHO, Pazin DC, Pitz MHG, Erbano B, et al. COVID-19 mortality in Brazil: socioeconomic determinants across age groups. Rev Bras Med Fam Comunidade [Internet]. 2026 Oct. 30 [cited 2026 Oct. 31];21(48):1-9. Available from: https://rbmfc.org.br/rbmfc/article/view/4981

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