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Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries.

Sudeshna MitraKazuyuki NekiLeah Watetu MbuguaHialy GutierrezLeen BakdashMercer WinerRamshankar BalasubramaniyanJaeda L RobertsTheo VosErin HamiltonMohsen NaghaviJames E HarrisonR F Soames JobKavi Bhalla
Published in: BMJ global health (2021)
Traffic injuries are substantially underreported in official statistics of most LMICs. National surveys and censuses provide a viable alternative information source, but despite a large increase in their use to monitor SDGs, traffic injury measurements have not increased. We show that relatively small modifications and additions to questions in forthcoming surveys can provide countries with a way to benchmark their existing surveillance systems and result in a substantial increase in data for tracking road traffic injuries globally.
Keyphrases
  • air pollution
  • electronic health record
  • cross sectional
  • big data
  • public health
  • risk factors
  • mental health
  • physical activity
  • quality improvement
  • machine learning
  • health information
  • deep learning
  • social media