Geospatial analysis of injury severity on major roads in Ghana (2017-2020): implications for targeted injury prevention and control initiatives.

BACKGROUND

Road safety authorities in high-income countries use geospatial motor vehicle collision data for planning hazard reduction and intervention targeting. However, low-income and middle-income countries (LMICs) rarely conduct such geospatial analyses due to a lack of data. Since 1991, Ghana has maintained a database of all collisions and is uniquely positioned to lead data-informed road injury prevention and control initiatives.

METHODS

We identified and mapped geospatial patterns of hotspots of collisions, injuries, severe injuries and deaths using a well-known injury severity index with geographic information systems statistical methods (Getis-Ord Gi*).

RESULTS

We identified specific areas (4.66% of major roads in urban areas and 6.16% of major roads in rural areas) to target injury control. Key roads, including National Road 1 (from the border of Cote D'Ivoire to the border of Togo) and National Road 6 (from Accra to Kumasi), have a significant concentration of high-risk roads.

CONCLUSIONS

A few key road sections are critical to target for injury prevention. We conduct a collaborative geospatial study to demonstrate the importance of addressing data and research gaps in LMICs and call for similar future research on targeting injury control and prevention efforts.

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.