A digital decision-support system for urban health management using behavioral mediation analysis and managerial dashboard

Abstract

A computer-implemented decision-support system for urban health management integrates multi-source urban data—including behavioral data capturing learned familial patterns (e.g., via audiometric sensors), social, environmental, and spatial inputs---via a behavioral mediation analysis engine, employing machine learning to identify and weight behavioral factors mediating health outcomes. The system features a managerial dashboard for visualizing synthesized analytics and a scenario report generation module that simulates intervention impacts. An educational variant supports early behavior correction in schools. The system enables proactive, data-driven urban health planning through technical integration of disparate datasets and dynamic scenario modeling.

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