AI-Powered Predictive Outbreak Analytics

Focus: Using machine learning and big data to forecast, model, and mitigate the spread of infectious diseases.

  • Key Topics:
    • Epidemic Forecasting: Developing ML models to predict outbreak trajectories, hotspots, and resurgence of pathogens like influenza, dengue.
    • Early Warning Systems: Integrating disparate data sources (e.g., wastewater surveillance, internet search trends, climate data, flight patterns) for early signal detection.
    • One Health Surveillance: Applying AI to analyze data from animal populations, environmental sensors, and human health records to predict zoonotic spillover events.
    • Evaluating Intervention Impact: Simulating and forecasting the effects of public health interventions (e.g., travel restrictions, lockdowns) before implementation.

    AI-Powered Predictive Outbreak Analytics Conference Speakers

      Recommended Sessions

      Related Journals

      Are you interested in