プロジェクトメンバー

• Claus Aranha　Claus Aranha
  システム情報系／人工知能科学センター（機械学習分野）
  Johns Hopkins University

研究概要

Simulation Model of Disease Transmission (Figures 1-3)

Objectives:

• Improve the preparedness for future pandemics;
• Planning and evaluation of Non-medical Interventions (NMIs);
• Ease of use across borders.

Methods:

• Simulator with community scope;
• Data Collaboration Techniques for privacy preserving;
• Integration of data from different sources using DC and clustering;
• Machine learning of mobility patterns for social simulation.

Disease Model Platform (DMP) (Figures 4-5)

• Ingests detailed disease-demographics specific information;
• Outputs a “disease trajectory” specific to one agent;
• Allow much more specific disease detail, variants and new diseases.

Figure 1: Simulation model of disease transmission

Figure 2: Mobility simulator

Figure 3: Delineo simulator

Figure 4: Monte Carlo based agent modeling

Figure 5: Multi-agent mobility learning