Machine Learning
JHU-Tsukuba Collaboration on Contagion Simulation
Project Members
- Claus Aranha Claus Aranha
Institute of Systems and Information Engineering / Center for Artificial Intelligence Research (Machine Learning)
Johns Hopkins University
Research Outline
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