Publications

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Rural Residents’ Access to Trauma Care

Rural Residents’ Access to Trauma Care

A study team, led by Elinore Kaufman and including Jamie Song, analyzed the treatment of injured rural residents across different hospital types. The research revealed that rural non-trauma centers (NTCs) provided care for over half of injured rural patients,...

Facemask Impacts and Concussions in Professional Football

Facemask Impacts and Concussions in Professional Football

Research led by Kristy Arbogast analyzed head acceleration data from 98 NFL players, revealing that 59% of the most severe head acceleration events were caused by facemask impacts. This highlights the need for improved facemask designs and changes in player techniques...

E-Scooter Injury Risks by Time of Day

E-Scooter Injury Risks by Time of Day

Kevin Rix, Kate McDonald, and colleagues conducted a retrospective cohort study analyzing the relationship between the time of day and injury incidence among e-scooter riders in a large U.S. city. The study found that e-scooter injury incidence is significantly higher...

Firearm Access and Youth Conflict in the ED

Firearm Access and Youth Conflict in the ED

Joel Fein and colleagues investigate the link between firearm access, fighting behavior, and conflict perception among adolescents in an urban emergency department. Their analysis reveals that youth who report fighting are more likely to have firearm access,...

Sex Differences in Concussion Recovery

Sex Differences in Concussion Recovery

Bernadette D'Alonzo, Andrea Schneider, and colleagues studied sex differences in concussion recovery, highlighting the role of sport contact level. Using data from the Ivy League–Big Ten Epidemiology of Concussion Study, they found that while recovery timelines appear...

Assault Data Opportunity

Assault Data Opportunity

Millan AbiNader led a study that demonstrated that an established national dataset - the National Emergency Medical Services Information System (NEMSIS) - can be used to surveil domestic assaults in communities and respond to population-specific needs.

Driver Algorithm Accuracy

Driver Algorithm Accuracy

A validation study led by Jeff Ebert, Kate McDonald, and Kit Delgado demonstrated that a widely used algorithm for classifying driver trips vs. passenger trips using smartphone kinematics was 97% accurate and robust to a variety of phone characteristics, vehicle...