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Forecasting global road traffic injury mortality for 2030

Injury prevention, 2020-08, Vol.26 (4), p.339-343 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1353-8047 ;EISSN: 1475-5785 ;DOI: 10.1136/injuryprev-2019-043336 ;PMID: 31395682

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  • Title:
    Forecasting global road traffic injury mortality for 2030
  • Author: Inada, Haruhiko ; Li, Qingfeng ; Bachani, Abdulgafoor ; Hyder, Adnan A
  • Subjects: Age ; Datasets ; Educational attainment ; Fatalities ; Injuries ; Mortality ; Per capita ; Population ; Traffic
  • Is Part Of: Injury prevention, 2020-08, Vol.26 (4), p.339-343
  • Description: ObjectiveTo forecast the number and rate of deaths from road traffic injuries (RTI) in the world in 2030.MethodsThis study was a secondary analysis of annual country-level data of RTI mortality rates for 1990–2017 in the Global Burden of Disease (GBD) 2017 Study, population projection for 2030, gross domestic product (GDP) per capita for 1990–2030 and average years of schooling among people aged 15 years+ for 1990–2030. We developed up to 6884 combinations of forecasting models for each subgroup stratified by country, sex and mode of transport using linear and squared year, GDP per capita and average years of schooling as potential predictors. We conducted a fixed-size, rolling window out-of-sample forecast to choose the best combination for each subgroup. In the validation, we used the data for 1990–2002, 1991–2003 and 1992–2004 (fit periods) to forecast mortality rates in 2015, 2016 and 2017 (test periods), respectively. We applied the selected combination of models to the data for 1990–2017 to forecast the mortality rate in 2030 for each subgroup. To forecast the number of deaths, we multiplied the forecasted mortality rates by the corresponding population projection.ResultsDuring the test periods, the selected combination of models produced the number of deaths that is higher than that estimated in the GBD Study by 5.1% collectively. Our model resulted in 1.225 million deaths and 14.3 deaths per 100 000 population in 2030, which were 1% and 12% less than those for 2017 in the GBD Study, respectively.ConclusionsThe world needs to accelerate its efforts towards achieving the Decade of Action for Road Safety goal and the Sustainable Development Goals target.
  • Publisher: England: BMJ Publishing Group LTD
  • Language: English
  • Identifier: ISSN: 1353-8047
    EISSN: 1475-5785
    DOI: 10.1136/injuryprev-2019-043336
    PMID: 31395682
  • Source: ProQuest Central
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