Charyk Stewart, Tanya

Halari, Moheem M

McClafferty, Kevin

Pellar, Allison

Pickup, Michael

Shkrum, Michael

English

Scholarship@Western

Western University Scholarship@Western Inspiring Minds – A Digital Collection of Western’s Graduate Research, Scholarship and Creative Activity Inspiring Minds November 2022 Trauma Patterns Among Pedestrians and Cyclists Involved in a Motor Vehicle Collision Moheem M. Halari Western University, mhalari@uwo.ca Michael Shkrum Western University Tanya Charyk Stewart London Health Sciences Centre Kevin McClafferty Motor Vehicle Safety Research Team, kevin@ontariocrash.ca Allison Pellar Motor Vehicle Safety Research Team, allipellar@gmail.com See next page for additional authors Follow this and additional works at: https://ir.lib.uwo.ca/inspiringminds Citation of this paper: Halari, Moheem M.; Shkrum, Michael; Charyk Stewart, Tanya; McClafferty, Kevin; Pellar, Allison; and Pickup, Michael, "Trauma Patterns Among Pedestrians and Cyclists Involved in a Motor Vehicle Collision" (2022). Inspiring Minds – A Digital Collection of Western’s Graduate Research, Scholarship and Creative Activity. 341. https://ir.lib.uwo.ca/inspiringminds/341 Authors Moheem M. Halari, Michael Shkrum, Tanya Charyk Stewart, Kevin McClafferty, Allison Pellar, and Michael Pickup This article is available at Scholarship@Western: https://ir.lib.uwo.ca/inspiringminds/341 Trauma Patterns Among Pedestrians and Cyclists Involved in a Motor Vehicle Collision  Of the 1.35 million deaths that occur annually worldwide due to motor vehicle collisions (MVCs), more than half of these involve pedestrians, cyclists, and motorcyclists. In Canada, there is an increasing number of motor vehicle pedestrian (7%) and cyclist (2.5%) collisions compared to previous years. In Ontario, these MVCs involving pedestrian and cyclist deaths are investigated by the Office of the Chief Coroner for Ontario which include autopsies done by pathologists who document the injuries sustained. My research involves collecting injury data from the pathologists’ reports and crash data (vehicle type, speed, impact zone, location) from the police report to understand the injury mechanisms. Using this information, I plan on creating a predictive model using machine learning that can be used not only by pathologists to assist coroners and police investigators in collision reconstruction (especially hit and run’s), but also provide evidence-based data to emergency or trauma centers for triage.  

Trauma Patterns Among Pedestrians and Cyclists Involved in a Motor Vehicle Collision

https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1284&context=inspiringminds

Trauma Patterns Among Pedestrians and Cyclists Involved in a Motor Vehicle Collision

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