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DMA-PRIME Visualization Dashboard

Research Objective System Features Information
  • ● Integrate Multisource Data for Forecasting: Combine heterogeneous, real-time data streams including EHRs, wastewater surveillance, search trends, and mobile health records into a unified analytic framework.

  • ● Develop and Validate Predictive Models: Advance a suite of forecasting models (deep learning, ensemble, probabilistic) trained on continuously updated South Carolina data to predict respiratory disease dynamics at multiple spatial scales.

  • ● Enhance Public Health Decision-Making: Collaborate with state, local, and national public health partners to support timely interventions and equitable health responses.
  • ● Robust Partnership Network: Active collaborations with state and local agencies (SCDPH, Prisma Health, MUSC, CRH, CRPH, SC State Veterinarian, and Clemson LPH) and national partners (CDC CFA, Insight Net) for data sharing and dissemination.

  • ● Rich, Continuously Updated Data Streams: Integration of clinical, environmental, behavioral, and contextual datasets covering over half of South Carolina’s population with fine spatial and temporal granularity.

  • ● Comprehensive Modeling Framework: A modular platform supporting multiple forecasting paradigms regularly retrained for adaptive accuracy.

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