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Pathogen transfer through environment-host contact: an agent-based queueing theoretic framework.

Shi Chen1,2, Suzanne Lenhart2, Judy D Day3,4

  • 1Department of Public Health Sciences, University of North Carolina Charlotte, Charlotte, NC, USA.

Mathematical Medicine and Biology : a Journal of the IMA
|November 7, 2017
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Summary
This summary is machine-generated.

Queueing theory models environmentally transmitted pathogens, including nosocomial infections. This study introduces a flexible framework to analyze pathogen transfer in hospitals, highlighting nonlinear interactions.

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Area of Science:

  • Mathematical modeling
  • Epidemiology
  • Infectious disease dynamics

Background:

  • Queueing theory traditionally models direct host-to-host transmission.
  • Its application to environmentally transmitted pathogens, especially nosocomial infections, is underexplored.

Purpose of the Study:

  • To develop a customizable queueing theory framework for modeling in-hospital pathogen transfer.
  • To investigate pathogen transfer dynamics between environments and hosts using stochastic queues.

Main Methods:

  • Developed a queueing theory model with hosts as customers and environments as servers.
  • Incorporated various transfer functions, host behaviors (feedback/non-feedback), and initial pathogen distributions.
  • Simulated in-hospital contact processes and analyzed pathogen transfer under different conditions.

Main Results:

  • Demonstrated the framework's flexibility in simulating nosocomial pathogen transfer.
  • Highlighted the significant impact of nonlinear interactions between contact processes, transfer functions, and pathogen demography.
  • Showcased pathogen amount decrease during inter-arrival times.

Conclusions:

  • The proposed queueing framework effectively models environmentally transmitted pathogens in healthcare settings.
  • The study underscores the complexity of pathogen circulation due to nonlinear interactions.
  • The model is adaptable for more complex queueing networks and realistic simulations.