Stationary Solution of a Stochastic Nosocomial Epidemic Model in Hospital Intensive Care Units

John R. Graef; Lingju Kong; Min Wang

doi:10.1080/07362994.2014.938861

Stationary Solution of a Stochastic Nosocomial Epidemic Model in Hospital Intensive Care Units

John R. Graef, Lingju Kong, Min Wang

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In this article, the authors consider a stochastic differential equation model of an antibiotic resistant infection epidemic in a hospital intensive care unit. A set of criteria on the existence of the stationary solution and its dynamical behavior are obtained. Numerical simulations are also performed to verify the results.

Original language	English (US)
Pages (from-to)	840-850
Number of pages	11
Journal	Stochastic Analysis and Applications
Volume	32
Issue number	5
DOIs	https://doi.org/10.1080/07362994.2014.938861
State	Published - Jan 1 2014
Externally published	Yes

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1080/07362994.2014.938861

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title = "Stationary Solution of a Stochastic Nosocomial Epidemic Model in Hospital Intensive Care Units",

abstract = "In this article, the authors consider a stochastic differential equation model of an antibiotic resistant infection epidemic in a hospital intensive care unit. A set of criteria on the existence of the stationary solution and its dynamical behavior are obtained. Numerical simulations are also performed to verify the results.",

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Stationary Solution of a Stochastic Nosocomial Epidemic Model in Hospital Intensive Care Units

Abstract

All Science Journal Classification (ASJC) codes

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