Teaching through Simulation: Epidemic Dynamics and Public Health Policies

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

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

A growing number of epidemiologists are now working to refine computer simulation methods for diseases as a strategy for helping public policy decision-makers assess the potential efficacies of tactics in response to newly emerging epidemics. These efforts spiked after the SARS outbreak of 2002– 2003. Here we describe our attempt to help novice researchers understand epidemic dynamics with the help of the cellular automata with social mirror identity model (CASMIM), a small-world epidemiological simulation system created by Huang et al. in 2004. Using the SARS scenario as a teaching example, we designed three sets of instructional experiments to test our assumptions regarding (i) simulating epidemic transmission dynamics and associated public health policies, (ii) assisting with understanding the properties and efficacies of various public health policies, (iii) constructing an effective, low-cost (in social and financial terms) and executable suite of epidemic prevention strategies, and (iv) reducing the difficulties and costs associated with learning epidemiological concepts. With the aid of the proposed simulation tool, novice researchers can create various scenarios for discovering epidemic dynamics and for exploring applicable combinations of prevention or suppression strategies. Results from an evaluative test indicate a significant improvement in the ability of a group of college students with little experience in epidemiology to understand epidemiological concepts.

Original languageEnglish
Pages (from-to)731-759
Number of pages29
JournalSimulation
Volume82
Issue number11
DOIs
Publication statusPublished - 2006 Jan 1

Fingerprint

Public Health
Public health
Teaching
Computer simulation
Severe Acute Respiratory Syndrome
Epidemiology
Simulation
Cellular automata
Efficacy
Costs
Mirrors
Public Policy
Scenarios
Students
Small World
Simulation Tool
Simulation System
Simulation Methods
Cellular Automata
Mirror

Keywords

  • Learning through simulation
  • epidemiological model
  • public health policy
  • small-world network

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Graphics and Computer-Aided Design

Cite this

Hsieh, J-L., Sun, C. T., Kao, G. Y. M., & Huang, C. Y. (2006). Teaching through Simulation: Epidemic Dynamics and Public Health Policies. Simulation, 82(11), 731-759. https://doi.org/10.1177/0037549706074487

Teaching through Simulation : Epidemic Dynamics and Public Health Policies. / Hsieh, Ji-Lung; Sun, Chuen Tsai; Kao, Gloria Yi Ming; Huang, Chung Yuan.

In: Simulation, Vol. 82, No. 11, 01.01.2006, p. 731-759.

Research output: Contribution to journalArticle

Hsieh, J-L, Sun, CT, Kao, GYM & Huang, CY 2006, 'Teaching through Simulation: Epidemic Dynamics and Public Health Policies', Simulation, vol. 82, no. 11, pp. 731-759. https://doi.org/10.1177/0037549706074487
Hsieh, Ji-Lung ; Sun, Chuen Tsai ; Kao, Gloria Yi Ming ; Huang, Chung Yuan. / Teaching through Simulation : Epidemic Dynamics and Public Health Policies. In: Simulation. 2006 ; Vol. 82, No. 11. pp. 731-759.
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