Using latent class analysis of 5,280 Kansas PRAMS participants, this study identifies five distinct antenatal stress profiles and links them to adverse birth outcomes including low birth weight, small for gestational age, and preterm birth.

This study analyzes U.S. nonfatal self-inflicted firearm injuries using clinical narratives and machine learning to uncover distinct racial and ethnic patterns and improve injury prevention strategies.

This study investigates the lasting emotional and physical symptoms experienced by survivors of intimate partner violence (IPV) in the United States. Analyzing national survey data from 2009 to 2023, the researchers examined whether sustaining a serious physical injury (such as broken bones, gunshot wounds, internal injuries, or loss of consciousness) is associated with subsequent health symptoms. The findings reveal that IPV survivors who sustain serious injuries have significantly higher odds of experiencing both emotional symptoms (such as feeling vulnerable, unsafe, or distrustful) and physical symptoms (including headaches, chronic fatigue, and muscle tension). This highlights the compounding burden of physical injury on overall well-being and emphasizes the critical need for integrated medical, legal, and mental health interventions to support survivors.

This study examined the spatial overlap of child welfare and juvenile justice involvement using multivariate Bayesian spatial modeling. Results show a significant positive association between juvenile justice and child maltreatment referrals across neighborhoods. After adjusting for residential instability, immigrant concentration, and residential segregation, children in the least deprived 20% of neighborhoods were 95.2% and 55.5% less likely to be referred to child welfare or justice systems, respectively, compared to those in the most deprived 20%.

Presented at the ISPCAN World Congress on Child Abuse and Neglect, Melbourne, Australia, August 2426, 2026. Full title: Detecting Hidden Mechanisms of Abuse-Related Injury in Children: Structured Topic Modeling of Clinical Death Reviews and Legal Opinions Triangulating Multidisciplinary Child Fatality Reviews with Factual and Procedural Narratives from Case Law

Presentation at the American Educational Research Association (AERA) Annual Meeting Date: Saturday, April 11, 2026 Time: 9:45 AM to 11:15 AM PDT (12:45 PM to 2:15 PM EDT)

Dr. Barboza-Salerno addresses the Grand Challenge to Prevent Gun Violence in a feature by the College of Social Work.

Our presentation, Modeling Firearm Injury Risk Using Spatial Random Forests, will be delivered by Dr. Gia Barboza-Salerno at the Women in Statistics and Data Science on November 12, 2025 in Cincinnati, OH.

This new article by Dr. Gia E. Barboza-Salerno argues that Predictive Risk Models (PRMs) can be effective when focused on prevention.

This Bayesian spatiotemporal study in Cook County integrates remote sensing data with census-based deprivation measures to reveal that nighttime light intensity predicts a 10x increase in opioid overdose mortality, with rising temporal trends across all urbanicity levels.

This study integrates over 1.5 million crowdsourced sidewalk labels with spatial machine learning to show that street-level accessibility deficits are structural determinants of health inequities, particularly depression, among persons with disabilities.

This ecological time-series study in Chicago links extreme heat events to a 20% increase in suicide risk per 1°C above threshold among adults aged 65+, highlighting the intersection of climate change and mental health disparities.

This study applies LLMs and LDA topic modeling to emergency department narratives in NEISS to improve surveillance and etiological classification of IPV-related head and neck injuries.

This study integrates cause-of-death narratives with neighborhood typologies using unsupervised ML and NLP to identify place-specific mortality mechanisms across Cook County, Illinois census tracts.