Study on the Control Measures of MDRO Transmission in ICU Based on Markov Process

Zhu Min () and Su Qiang
Additional contact information
Zhu Min: Tongji University
Su Qiang: Tongji University

A chapter in Smart Service Systems, Operations Management, and Analytics, 2020, pp 355-364 from Springer

Abstract: Abstract Intensive care unit (ICU) has the highest outbreak rate of Multidrug-Resistant OrganismsMultidrug-Resistant Organisms (MDRO) (MDRO) infection. In this paper, the control measuresControl measures of MDRO transmission in ICU were studied. Considering the incubation period and media transmission of MDRO, we combine the compartmental model and continuous time Markov chain (CTMC) to build the stochastic model of MDRO transmission in ICU. The model was expanded into a bidimensional Markov transmission modelBidimensional Markov transmission model based on the heterogeneity of population. By simulation, the key factors of the transmission model were quantitatively analyzed, and the state evolution rulesState evolution rules of patients and medical staff were studied. Then, through the sensitivity analysisSensitivity analysis , we get some manage insights to provide control suggestions for MDROMultidrug-Resistant Organisms (MDRO) transmission in each scenario.

Keywords: Multidrug-resistant organisms; Control measures; Bidimensional Markov transmission model; State evolution rules; Sensitivity analysis (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-30967-1_32

Ordering information: This item can be ordered from
http://www.springer.com/9783030309671

DOI: 10.1007/978-3-030-30967-1_32

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().