Comparisons of head injury risk prediction methods to field data in far-side impacts-Reference-Cited by-同舟云学术

Comparisons of head injury risk prediction methods to field data in far-side impacts

Published:2022-10-03 Issue:sup1 Volume:23 Page:S189-S192
ISSN:1538-9588
Container-title:Traffic Injury Prevention
language:en
Short-container-title:Traffic Injury Prevention

Author:

Devane Karan¹^ORCID,Hsu Fang-Chi²^ORCID,Koya Bharath¹^ORCID,Davis Matthew³,A. Weaver Ashley¹^ORCID,Gayzik F. Scott¹³^ORCID,Guleyupoglu Berkan³^ORCID

Affiliation:

1. Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, North Carolina

2. Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina

3. Elemance, LLC, Winston-Salem, North Carolina

Funder

United States Council for Automotive Research

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/15389588.2022.2124809

Reference12 articles.

1. Augenstein J, Perdeck E, Stratton J. 2003. Characteristics of crashes that increase the risk of serious injuries. Annu Proc Assoc Adv Automot Med. 47:561–576.

2. Occurrence of Serious Injury in Real-World Side Impacts of Vehicles with Good Side-Impact Protection Ratings

3. Simulation-based assessment of injury risk for an average male motorsport driver

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