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Acidentes de transporte terrestre: estudo Carga Global de Doenças, Brasil e unidades federadas, 1990 e 2015

Overview of attention for article published in Revista Brasileira de Epidemiologia, May 2017
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Title
Acidentes de transporte terrestre: estudo Carga Global de Doenças, Brasil e unidades federadas, 1990 e 2015
Published in
Revista Brasileira de Epidemiologia, May 2017
DOI 10.1590/1980-5497201700050013
Pubmed ID
Authors

Roberto Marini Ladeira, Deborah Carvalho Malta, Otaliba Libânio de Morais Neto, Marli de Mesquita Silva Montenegro, Adauto Martins Soares Filho, Cíntia Honório Vasconcelos, Meghan Mooney, Mohsen Naghavi

Abstract

To describe the global burden of disease due to road traffic accidents in Brazil and federated units in 1990 and 2015. This is an analysis of secondary data from the 2015 Global Burden of Disease study estimates. The following estimates were used: standardized mortality rates and years of life lost by death or disability, potential years of life lost due to premature death, and years of unhealthy living conditions. The Mortality Information System was the main source of death data. Underreporting and redistribution of ill-defined causes and nonspecific codes were corrected. Around 52,326 deaths due to road traffic accidents were estimated in Brazil in 2015. From 1990 to 2015, mortality rates decreased from 36.9 to 24.8/100 thousand people, a reduction of 32.8%. Tocantins and Piauí have the highest mortality risks among the federated units (FU), with 41.7/100 and 33.1/100 thousand people, respectively. They both present the highest rates of potential years of life lost due to premature deaths. Road traffic accidents are a public health problem. Using death- or disability-adjusted life years in studies of these causes is important because there are still no sources to know the magnitude of sequelae, as well as the weight of early deaths. Since its data are updated every year, the Global Burden of Disease study may provide evidence to formulate traffic security and health attention policies, which are guided to the needs of the federated units and of different groups of traffic users.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 25%
Student > Master 9 11%
Student > Postgraduate 8 10%
Student > Doctoral Student 6 7%
Researcher 5 6%
Other 13 16%
Unknown 20 25%
Readers by discipline Count As %
Medicine and Dentistry 25 31%
Nursing and Health Professions 15 19%
Engineering 4 5%
Psychology 3 4%
Veterinary Science and Veterinary Medicine 2 2%
Other 7 9%
Unknown 25 31%