A multilayer epidemic simulation framework integrating geographic information system with traveling networks

Chung Yuan Huang*, Yu Shiuan Tsai, Tzai Hung Wen, Chuen-Tsai Sun

*Corresponding author for this work

Research output: Contribution to journalConference article

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 languageEnglish
Pages (from-to)357-363
Number of pages7
JournalProceedings of the IASTED International Conference on Modelling, Identification and Control
DOIs
StatePublished - 20 Jul 2010
Event29th IASTED International Conference on Modelling, Identification and Control, MIC 2010 - Innsbruck, Austria
Duration: 15 Feb 201017 Feb 2010

Keywords

  • Computer simulation
  • Epidemic dynamics
  • Geographic information system
  • Multilayer model
  • Traveling network

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