Environmental Health
SCADS research in environmental health sciences focuses on leveraging large-scale geospatial and mobility data to investigate how environmental factors influence human health and behavior. Domains such as environmental epidemiology, nutrition access, and physical activity monitoring increasingly depend on data-driven methods to study the complex interplay between people and their surroundings. With the rise of high-resolution location data—such as smartphone-derived timelines—these fields now have unprecedented analytic potential, but also face new challenges in processing and interpreting large, spatiotemporally complex datasets. SCADS projects address these needs through scalable geospatial algorithms, including hierarchical partitioning techniques, and innovative applications of location history data to support public health insight and decision-making.
Papers
- Oje, O., Amram, O., Hystad, P., Gebremedhin, A. and Monsivais, P. Use of Individual Google Location History Data to Identify Consumer Encounters with Food Outlets, International Journal of Health Geographics, 24(1), 2025.
Abstract Paper
- Amram, O., Oje, O., Larkin, A., Baokye, K., Avery, A., Gebremedhin, A., Williams, B., Duncan, G. and Hystad, P. Smartphone Google Location History: A Novel Approach to Outdoor Physical Activity Research, Journal of Physical Activity and Health, 19, 2024.
Abstract Paper
- Oje, O., Stirewalt, T., Amram, O., Hystad, P., Amiri, S. and Gebremedhin, A. HierGP: Hierarchical Grid Partitioning for Scalable Geospatial Data Analytics, ACM Transactions on Spatial Algorithms and Systems, Accepted Sep 2024.
Abstract Paper - Hystad, P., Amram, O., Oje, O., Larkin, A., Boakye, K., Avery, A., Gebremedhin, A. and Duncan, G. Bring Your Own Location Data: Use of Google Smartphone Location History Data for Environmental Health Research, Environmental Health Perspectives, 130(11), CID 117005, 2022.
Abstract Paper