Jason Kerrigan
Overview
Explore the profile of Jason Kerrigan including associated specialties, affiliations and a list of published articles.
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25
Citations
38
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Recent Articles
1.
Shin J, Kerrigan J, stling M
Traffic Inj Prev
. 2024 Dec;
:1-10.
PMID: 39625481
Objective: Field data studies have suggested greater injury risk in motor vehicle crashes for females compared to males. Data on female responses may provide more insight into these sex-based differences...
2.
Lopez-Valdes F, Mascarenas Brito A, Agnew A, Cripton P, Kerrigan J, Masouros S, et al.
Traffic Inj Prev
. 2024 Jul;
25(8):1115-1128.
PMID: 39042839
Objective: This study aims to establish best practices and guidelines to ensure that experimental research utilizing Postmortem Human Subjects (PMHS) for injury prevention adheres to relevant ethical principles, which are...
3.
Shin J, Donlon J, Richardson R, Espelien C, Sochor S, Gallaher M, et al.
Accid Anal Prev
. 2023 Oct;
193:107334.
PMID: 37832356
Disparities in injury tolerance and kinematic response remain understudied despite field data highlighting sex-based differences in injury risk. Furthermore, the automotive industry anticipates occupants will prefer reclined seating in highly...
4.
Richardson R, Donlon J, Gepner B, Forman J, Hallman J, Kerrigan J
Ann Biomed Eng
. 2023 Jul;
51(11):2566-2578.
PMID: 37442922
The interaction of the three-point seat belt with the occupant, particularly the lap belt with the pelvis, is affected by a multitude of intrinsic and extrinsic factors, including the torso...
5.
Chastain K, Gepner B, Moreau D, Koerber B, Forman J, Hallman J, et al.
Traffic Inj Prev
. 2023 Jun;
24(sup1):S55-S61.
PMID: 37267016
Objective: The goal of this study was to evaluate the effect of axial compression, employed with a follower-load mechanism, on the response of the lumbar spine in flexion and extension...
6.
Joodaki H, Gepner B, Lee S, Katagiri M, Kim T, Kerrigan J
Traffic Inj Prev
. 2021 Sep;
22(8):623-628.
PMID: 34468249
Objective: To optimize the components of restraint systems for protecting obese (BMI = 35 kg/m) and normal BMI (BMI = 25) human body models (HBMs) in frontal crash simulations, and...
7.
Richardson R, Jayathirtha M, Chastain K, Donlon J, Forman J, Gepner B, et al.
Traffic Inj Prev
. 2020 Nov;
21(sup1):S66-S71.
PMID: 33206553
Objective: Highly automated vehicles may permit alternative seating postures, which could alter occupant kinematics and challenge current restraint designs. One predicted posture is a reclined seated position. While the spine...
8.
Leveraging machine learning for predicting human body model response in restraint design simulations
Joodaki H, Gepner B, Kerrigan J
Comput Methods Biomech Biomed Engin
. 2020 Nov;
24(6):597-611.
PMID: 33179985
The objective of this study was to leverage and compare multiple machine learning techniques for predicting the human body model response in restraint design simulations. Parametric simulations with 16 independent...
9.
Roberts C, Forman J, Kerrigan J, Pipkorn B
Traffic Inj Prev
. 2020 Nov;
21(sup1):S168-S170.
PMID: 33179977
Objective: This study aims to evaluate the assumption of geometric similitude inherent to equal-stress equal-velocity scaling by determining if scale factors created with different anthropometry metrics result in different scaled...
10.
Donlon J, Richardson R, Jayathirtha M, Forman J, Kerrigan J, Kent R, et al.
Traffic Inj Prev
. 2020 Apr;
21(4):272-277.
PMID: 32315202
Up to one-half of drivers swerve before a crash, which may cause vehicle motions that displace an occupant from a normal seated position. How these altered postures affect occupant restraint...