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Redução de acidentes de trânsito e óbitos no Brasil: abordagem data-driven
Daielly Mantovani, Douglas da Silva Cardoso, Guilherme Arevalo Leal
This work aims to create analyses and models from open public data made available by the Brazilian Federal Highway Police Department (DPRF) for public health intelligence and to develop an analytical dashboard for monitoring data and formulating hypotheses. One of the targets of the Sustainable Development Goals for Health and Well-being (SDG 3) is to “halve global deaths and injuries from road accidents by 2030”. Although fatal accidents have decreased from 2010 to 2020 and have been increasing since then, Brazil is the third largest country in deaths from traffic accidents, which makes the problem a public health issue. The results show that the main causes of fatalities are human error (illegal overtaking) in poor road conditions (single lane, rural area) or peak times (weekends and nighttime).
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