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High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka.

Publication ,  Journal Article
Staton, CA; De Silva, V; Krebs, E; Andrade, L; Rulisa, S; Mallawaarachchi, BC; Jin, K; RicardoVissoci, J; Østbye, T
Published in: BMC Public Health
January 20, 2016

BACKGROUND: Road traffic crashes (RTCs) are a leading cause of death. In low and middle income countries (LMIC) data to conduct hotspot analyses and safety audits are usually incomplete, poor quality, and not computerized. Police data are often limited, but there are no alternative gold standards. This project evaluates high road utilizer surveys as an alternative to police data to identify RTC hotspots. METHODS: Retrospective police RTC data was compared to prospective data from high road utilizer surveys regarding dangerous road locations. Spatial analysis using geographic information systems was used to map dangerous locations and identify RTC hotspots. We assessed agreement (Cohen's Kappa), sensitivity/specificity, and cost differences. RESULTS: In Rwanda police data identified 1866 RTC locations from 2589 records while surveys identified 1264 locations from 602 surveys. In Sri Lanka, police data identified 721 RTC locations from 752 records while survey data found 3000 locations from 300 surveys. There was high agreement (97 %, 83 %) and kappa (0.60, 0.60) for Rwanda and Sri Lanka respectively. Sensitivity and specificity are 92 % and 95 % for Rwanda and 74 % and 93 % for Sri Lanka. The cost per crash location identified was $2.88 for police and $2.75 for survey data in Rwanda and $2.75 for police and $1.21 for survey data in Sri Lanka. CONCLUSION: Surveys to locate RTC hotspots have high sensitivity and specificity compared to police data. Therefore, surveys can be a viable, inexpensive, and rapid alternative to the use of police data in LMIC.

Duke Scholars

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Published In

BMC Public Health

DOI

EISSN

1471-2458

Publication Date

January 20, 2016

Volume

16

Start / End Page

53

Location

England

Related Subject Headings

  • Sri Lanka
  • Spatial Analysis
  • Safety
  • Rwanda
  • Reproducibility of Results
  • Public Health
  • Police
  • Humans
  • Geographic Information Systems
  • Data Collection
 

Citation

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Staton, C. A., De Silva, V., Krebs, E., Andrade, L., Rulisa, S., Mallawaarachchi, B. C., … Østbye, T. (2016). High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka. BMC Public Health, 16, 53. https://doi.org/10.1186/s12889-015-2609-1
Staton, Catherine A., Vijitha De Silva, Elizabeth Krebs, Luciano Andrade, Stephen Rulisa, Badra Chandanie Mallawaarachchi, Kezhi Jin, Joao RicardoVissoci, and Truls Østbye. “High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka.BMC Public Health 16 (January 20, 2016): 53. https://doi.org/10.1186/s12889-015-2609-1.
Staton CA, De Silva V, Krebs E, Andrade L, Rulisa S, Mallawaarachchi BC, et al. High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka. BMC Public Health. 2016 Jan 20;16:53.
Staton, Catherine A., et al. “High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka.BMC Public Health, vol. 16, Jan. 2016, p. 53. Pubmed, doi:10.1186/s12889-015-2609-1.
Staton CA, De Silva V, Krebs E, Andrade L, Rulisa S, Mallawaarachchi BC, Jin K, RicardoVissoci J, Østbye T. High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka. BMC Public Health. 2016 Jan 20;16:53.
Journal cover image

Published In

BMC Public Health

DOI

EISSN

1471-2458

Publication Date

January 20, 2016

Volume

16

Start / End Page

53

Location

England

Related Subject Headings

  • Sri Lanka
  • Spatial Analysis
  • Safety
  • Rwanda
  • Reproducibility of Results
  • Public Health
  • Police
  • Humans
  • Geographic Information Systems
  • Data Collection