Healthcare Accessibility Shifts Analysis and Tool Using Mobility Data
Healthcare Accessibility Shifts Analysis and Tool Using Mobility Data
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We integrate large-scale mobility data with interpretable machine learning to examine year-over-year changes in healthcare accessibility between 2019 and 2022, focusing on four healthcare service types: Adult Primary Care, Pediatric Primary Care, Urgent Care Visits, and Emergency Room Visits. Codes are shared via the Jupyter notebook.
Link to the tool: https://github.com/SMIL-AI/VITAL-GA
Related Publication: H. Zhen, L. Pang, and J. Yang, “Dissecting Healthcare Accessibility Shifts during COVID-19 using Mobility Data,” submitted to 2026 TRB Annual Meeting (Paper Number: TRBAM-26-04193).