Our work focuses on Five main objectives. First, we aim to better understand how environmental factors affect children’s health and school attendance by measuring both chemical stressors (such as air pollution and bioaerosols) and non-chemical stressors (such as heat exposure and social conditions), using a combination of data analysis and real-world insights from families.
Second, we evaluate practical and affordable interventions, including portable air purifiers and a three-level school-based health education program, to understand their impact on reducing illness-related absences.
Third, we leverage data and technology by deploying low-cost indoor sensors, integrating environmental data (e.g., EPA and Mesonet), and using advanced modeling and machine learning to predict indoor conditions and exposures.
Fourth, we develop a Children’s Health & Social (CHS) Vulnerability Index by combining multiple data sources and incorporating stakeholder input to create a reliable, actionable tool for communities.
Last, we maintain strong leadership and coordination, ensure continuous evaluation and improvement, and promote effective communication and outreach so that our research can be widely adopted by schools and communities