A premliminary mathematical analysis for understanding transmission dynamics of nosocomial infections in a nicu

Tae Su Cheong, Jennifer L. Grant

Research output: Contribution to journalArticle

Abstract

Nosocomial infections (NIs) have been a major concern in hospitals, especially in high-risk populations. Neonates hospitalized in the intensive care unit (ICU) have a higher risk of acquiring infections during hospitalization than other ICU populations, which often result in prolonged and more severe illness and possibly death. The corresponding economic burden is immense, not only for parents and insurance companies, but also for hospitals faced with increased patient load and resource utilization. In this paper, we attempt to systemically understand the transmission dynamics of NIs in a neonatal intensive care unit (NICU). For this purpose, we present a mathematical model, perform sensitivity analysis to evaluate effective intervention strategies, and discuss numerical findings from the analysis.

Original languageEnglish
Pages (from-to)241-251
Number of pages11
JournalInternational Journal of Industrial Engineering : Theory Applications and Practice
Volume20
Issue number3-4
Publication statusPublished - 2013 Sep 23
Externally publishedYes

Fingerprint

Intensive care units
Insurance
Sensitivity analysis
Loads (forces)
Mathematical models
Economics
Industry

Keywords

  • Hospital-acquired infections
  • Infection control
  • Mathematical model
  • Nosocomial infections
  • Pathogen spread

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

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abstract = "Nosocomial infections (NIs) have been a major concern in hospitals, especially in high-risk populations. Neonates hospitalized in the intensive care unit (ICU) have a higher risk of acquiring infections during hospitalization than other ICU populations, which often result in prolonged and more severe illness and possibly death. The corresponding economic burden is immense, not only for parents and insurance companies, but also for hospitals faced with increased patient load and resource utilization. In this paper, we attempt to systemically understand the transmission dynamics of NIs in a neonatal intensive care unit (NICU). For this purpose, we present a mathematical model, perform sensitivity analysis to evaluate effective intervention strategies, and discuss numerical findings from the analysis.",
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AB - Nosocomial infections (NIs) have been a major concern in hospitals, especially in high-risk populations. Neonates hospitalized in the intensive care unit (ICU) have a higher risk of acquiring infections during hospitalization than other ICU populations, which often result in prolonged and more severe illness and possibly death. The corresponding economic burden is immense, not only for parents and insurance companies, but also for hospitals faced with increased patient load and resource utilization. In this paper, we attempt to systemically understand the transmission dynamics of NIs in a neonatal intensive care unit (NICU). For this purpose, we present a mathematical model, perform sensitivity analysis to evaluate effective intervention strategies, and discuss numerical findings from the analysis.

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