EPIAIDEA integrates epidemiologic theory with AI-enabled methods to translate large-scale digital, clinical, and administrative data into validated evidence for public health action.
Population signals from search behavior, platforms, and real-world digital traces.
Scalable analytics with interpretability, validation, and epidemiologic grounding.
Inference-ready outputs that support policy, health systems, and equity decisions.
County-level access disparities using geospatial distance metrics and service listings. Interactive mapping and reproducible outputs.
Digital population signals aligned against structural care access to quantify mismatch and guide targeted interventions.
Plotly/Folium dashboards for policy monitoring, access metrics, and spatial-temporal epidemiology.
Methods-forward approach: bias awareness, uncertainty, and transparent evaluation over black-box prediction.