Simulation of stochastic micropopulation models-II. VESPERS: Epidemiological model implementations for spread of viral infections

Denton Peterson, Lael C Gatewood, Zhangqing Zhuo, Jih Jing Yang, Susan Seaholm, Eugene Ackerman

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

This second paper concerning stochastic micropopulation simulations describes VESPERS, which can serve as a framework for simulation models of the epidemic spread of infection. The versions described are implemented using the simulation shell, SUMMERS, which includes the generic commonalities of several micropopulation models. Population members in VESPERS move through states related to the individual's status relative to the infective agent. Features of the models include mixing groups, member demographics, susceptibility and infectiousness, and co-circulation of infectious agents. The sensitivity of the simulation outcomes to quantitative features of the model has been analyzed. The user can select reports of desired distributions and averages of simulation outcomes.

Original languageEnglish (US)
Pages (from-to)199-213
Number of pages15
JournalComputers in Biology and Medicine
Volume23
Issue number3
DOIs
StatePublished - May 1993

Bibliographical note

Funding Information:
Acknowledgements-This work was supported in part by Grant P41-RR01632 from the National Institutes of Health. Some of the ideas were contained in the Ph.D. Thesis by Susan K. Seaholm. Retired Professor Eugene Ackerman served as her thesis advisor. Help in preparation of this manuscript was received from numerous

Keywords

  • Epidemic model
  • Infectious disease
  • Micropopulation model
  • Monte Carlo techniques
  • Stochastic simulation

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