Pandemic influenza simulation with public avoidance behavior

Wei Zhong, Tim Lant, Megan Jehn, Yushim Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter explores how classical mathematical models for epidemic simulation can be modified to properly incorporate relevant social and behavioral dimensions. Using the 2009 H1N1 influenza outbreak in Arizona as the research context, we modified a classical “Susceptible-Exposed-Infected-Removed” (SEIR) model and simulated it as a system dynamics model. The dynamics of influenza-related morbidity is examined, considering emergency risk communication and public avoidance behavior during the outbreak. Sensitivity analyses are performed to explore the impact of variability in uncertain parameters on epidemic dynamics in the community. We end this chapter with a discussion of the use of simulation –models to inform efforts to prepare communities for pandemic influenza outbreaks.

Original languageEnglish (US)
Title of host publicationSimulation for Policy Inquiry
PublisherSpringer New York
Pages181-201
Number of pages21
ISBN (Print)9781461416654, 9781461416647
DOIs
StatePublished - Jan 1 2012

ASJC Scopus subject areas

  • Social Sciences(all)

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    Zhong, W., Lant, T., Jehn, M., & Kim, Y. (2012). Pandemic influenza simulation with public avoidance behavior. In Simulation for Policy Inquiry (pp. 181-201). Springer New York. https://doi.org/10.1007/978-1-4614-1665-4_10