06/11/2026
How can data science and machine learning help us better understand, predict, and manage asthma exacerbation in children?
For the last few years, clinicians and researchers with Children's Hospital of The King's Daughters (CHKD), Eastern Virginia Medical School, Jefferson Lab, and Old Dominion University have, through the Joint Institute on Advanced Computing for Environmental Studies and the HRBRC, been exploring how mathematical and computational modeling can be used to understand and predict asthma exacerbation in children across Hampton Roads.
Using clinical data from 2018–2023 on acute asthma exacerbation visits and air pollution, weather, and neighborhood opportunity data, the team developed several computational models and compared their predictive performance. They then estimated relative risks for asthma exacerbations and highlighted possible environmental and socioeconomic interactions that influence asthma exacerbations in children, providing a foundation for future research to inform healthcare and public health strategies in coastal Virginia.
The team recently submitted their work, "Learning to model pediatric asthma exacerbation from multiple risk factors: A case study in coastal Virginia," to Environmental Science & Pollution Research.
You can read the pre-print here!
https://arxiv.org/abs/2606.06174