Simulating pandemic influenza preparedness plans for a public university: A hierarchical system dynamics approach

Tim Lant, Megan Jehn, Cody Christensen, Ozgur M. Araz, John Fowler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


Pandemic influenza preparedness plans strongly focus on efficient mitigation strategies including social distancing, logistics and medical response. These strategies are formed by multiple decisions-makers before pandemic outbreak and during the disaster by decision makers in local communities, states and nationwide. Depending on the community that will be affected by pandemic influenza, different strategies should be employed to decrease the severity of the disaster in multiple dimensions of social life. In this paper, a system dynamics methodology is applied to model the population behaviors and the effects of pandemic influenza on a public university community. The system is simulated for multiple non-pharmaceutical interventions with several policies that can be employed by local decision makers. System components are constructed from the pandemic influenza preparedness plan of one of the largest universities in the country. The policies and the decisions are tested by simulation runs and evaluations of the mitigation strategies are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 Winter Simulation Conference, WSC 2008
Number of pages9
StatePublished - Dec 1 2008
Event2008 Winter Simulation Conference, WSC 2008 - Miami, FL, United States
Duration: Dec 7 2008Dec 10 2008

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2008 Winter Simulation Conference, WSC 2008
Country/TerritoryUnited States
CityMiami, FL

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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