Road traffic injuries and deaths and the achievement of UN Sustainable Development Goals in Brazil: results from the Global Burden of Disease Study, 1990 to 2019

Data de publicação



Revista da Sociedade Brasileira de Medicina Tropical


Introduction – Brazil ranks 5th in the number of deaths due to road injuries. This study aimed to analyze mortality and disabilities resulting from road injuries in Brazil, and to assess the Sustainable Development Goals (SDG) target of reducing deaths due to road injuries by 50% by 2030.

Methods – This descriptive and exploratory study used the estimates from the Global Burden of Disease 2019: indicators of mortality, premature deaths, and disabilities according to sex, age group, and type of transport for 1990, 2015, and 2019. Time trends in mortality rates from 1990 to 2019 were assessed, and a projection for 2030 was calculated, applying a linear regression model.

Results – Deaths due to road injuries were 44,236 in 1990, and 44,529 in 2019, representing a 43% reduction in mortality rates. The highest rates were in the North, Northeast, and Midwest regions of Brazil, in males and young adults. A 77% reduction was observed in mortality rates for pedestrians and an increase of 53% for motorcyclists and of 54% for cyclists during the period. In terms of motorcycle road injuries, the mortality rate for men increased from 7.3/100,000 (1990) to 11.7/100,000 inhabitants (2019). The rates of premature deaths and disabilities were also higher for men when compared to women. Amputations, fractures, spinal cord injuries, and head trauma were the main types of road injuries. The projections for 2030 show that Brazil might not reach the SDG target.

Conclusions – Despite the decline in mortality rates, the 2030 Agenda’s target might not be achieved.



Vínculo institucional



Deborah Carvalho Malta

Universidade Federal de Minas Gerais, Departamento de Enfermagem Materno Infantil e Saúde Pública, Belo Horizonte, MG, Brasil.

Otaliba Libânio de Morais Neto

Universidade Federal de Goiás, Instituto de Patologia Tropical e Saúde Pública, Goiânia, GO, Brasil.

Laís Santos de Magalhães Cardoso

Universidade Federal de Minas Gerais, Escola de Enfermagem, Programa de Pós-Graduação em Enfermagem, Belo Horizonte, MG, Brasil.

Guilherme Augusto Veloso

Universidade Federal de Minas Gerais, Departamento de Estatística, Programa de Pós-Graduação em Estatística, Belo Horizonte, MG, Brasil.

Fabiana Martins Dias de Andrade

Universidade Federal de Minas Gerais, Faculdade de Medicina, Programa de Pós-Graduação em Saúde Pública, Belo Horizonte, MG, Brasil.

Ana Maria Nogales Vasconcelos

Universidade de Brasília, Departamento de Estatística, Brasília, DF, Brasil.

Cheila Marina de Lima

Ministério da Saúde, Secretaria de Vigilância em Saúde, Brasília, DF, Brasil.

Antonio Luiz Pinho Ribeiro

Universidade Federal de Minas Gerais, Faculdade de Medicina, Hospital das Clínicas, Belo Horizonte, MG, Brasil.

Mohsen Naghavi

University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA.