Learning to build network-oriented epidemic simulation models in epidemiology education

Ji Lung Hsieh, Chung Yuan Huang*, Chuen-Tsai Sun, Yu Shiuan Tsai, Yi Ming Kao Gloria

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Epidemic simulations and intervention strategy assessments are attracting interest in light of recent and potential outbreaks of infectious diseases such as SARS and avian flu. Universities are using computational modelling and simulation tools to teach epidemiology concepts to students, but integrating domain-specific knowledge and building network-based simulation models are difficult tasks in terms of teacher preparation and learner evaluation. To illustrate challenges to creating network-oriented models in epidemiology education, we introduce an architecture based on demographic and geographic data for building network-oriented epidemic simulation models, and describe our experiences simulating the transmission dynamics of three infectious diseases in Taiwan.

Original languageEnglish
Pages (from-to)31-41
Number of pages11
JournalInternational Journal of Simulation and Process Modelling
Volume5
Issue number1
DOIs
StatePublished - 11 Jun 2009

Keywords

  • Bipartite networks
  • Cellular automata
  • Computational modelling and simulation
  • Epidemic dynamics
  • HIV
  • Network-oriented simulation models
  • SARS
  • Seasonal influenza
  • Social mirror identities

Fingerprint Dive into the research topics of 'Learning to build network-oriented epidemic simulation models in epidemiology education'. Together they form a unique fingerprint.

Cite this