Abstract
The post-infection symptoms that individuals present are affected by age and the routes by which viruses are spread are determined by such movement factors as traveling networks. Here we describe a multilayer epidemiological framework call MEDSIM that integrates population-based and network-oriented approaches. The multilayer framework, which contains a geographic information system for purposes of capturing spatial variations in disease transmission, is capable of providing geospatial insights that reflect the impacts of pandemics and the dynamic processes of different simulation scenarios. It is our wish that the proposed framework and the simulation technology will assist in understanding the impacts of different outbreak locations and response policy combinations, as well as the timing of interventions.
| Original language | English |
|---|---|
| Pages (from-to) | 357-363 |
| Number of pages | 7 |
| Journal | Proceedings of the IASTED International Conference on Modelling, Identification and Control |
| State | Published - 2010 |
| Event | 29th IASTED International Conference on Modelling, Identification and Control, MIC 2010 - Innsbruck, Austria Duration: 15 02 2010 → 17 02 2010 |
Keywords
- Computer simulation
- Epidemic dynamics
- Geographic information system
- Multilayer model
- Traveling network