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

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Smart Service Systems, Operations Management, and Analytics (INFORMS-CSS 2019)

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Abstract

Intensive care unit (ICU) has the highest outbreak rate of Multidrug-Resistant Organisms (MDRO) infection. In this paper, the control 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 model based on the heterogeneity of population. By simulation, the key factors of the transmission model were quantitatively analyzed, and the state evolution rules of patients and medical staff were studied. Then, through the sensitivity analysis , we get some manage insights to provide control suggestions for MDRO transmission in each scenario.

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References

  1. P. Baylina, P. Moreira, Challenging healthcare-associated infections: a review of healthcare quality management issues. J. Manag. Mark. Healthc. 4(4), 254–264 (2011)

    Google Scholar 

  2. E. van Kleef, J.V. Robotham, M. Jit, S.R. Deeny, W.J. Edmunds, Modelling the transmission of healthcare associated infections: a systematic review. BMC Infect. Dis. 13 (2013)

    Google Scholar 

  3. J.C. Lucet, D. Koulenti, J.R. Zahar, Persistence of colonisation with MDRO following discharge from the ICU. Intensive Care Med. 40(4), 603–605 (2014)

    Article  Google Scholar 

  4. M.H. Kollef, Prevention of hospital-associated pneumonia and ventilator-associated pneumonia. Crit. Care Med. 32(6), 1396–1405 (2004)

    Article  Google Scholar 

  5. D.S. Xie, W. Xiong, L.L. Xiang et al., Point prevalence surveys of healthcare-associated infection in 13 hospitals in Hubei Province, China, 2007–2008. J. Hosp. Infect. 76(2), 150–155 (2010)

    Article  Google Scholar 

  6. J.Y. Liu, Y.H. Wu, M. Cai et al., Point-prevalence survey of healthcare-associated infections in Beijing, China: a survey and analysis in 2014. J. Hosp. Infect. (2016). S019567011630007X

    Google Scholar 

  7. A. Dadlani, M.S. Kumar, S. Murugan et al., System dynamics of a refined epidemic model for infection propagation over complex networks. IEEE Syst. J. 10(4), 1316–1325 (2016)

    Article  Google Scholar 

  8. H. Laarabi, A. Abta, K. Hattaf, Optimal control of a delayed SIRS epidemic model with vaccination and treatment. Acta Biotheor. 63(2), 87–97 (2015)

    Article  Google Scholar 

  9. C.J. Worby, D. Jeyaratnam, J.V. Robotham et al., Editor’s choice: Estimating the effectiveness of isolation and decolonization measures in reducing transmission of Methicillin-resistant Staphylococcus aureus in hospital general wards. China Health Stand. Manag. 177(11), 1306–1313 (2013)

    Google Scholar 

  10. B. Allegranzi, D. Pittet, Role of hand hygiene in healthcare-associated infection prevention. J. Hosp. Infect. 73(4), 305–315 (2009)

    Article  Google Scholar 

  11. A. Korobeinikov, Lyapunov functions and global properties for SEIR and SEIS epidemic models. Math. Med. Biol. J. IMA 21(2), 75 (2004)

    Article  Google Scholar 

  12. J.R. Artalejo, On the Markovian approach for modeling the dynamics of nosocomial infections. Acta. Biotheor. 62(1), 15–34 (2014)

    Article  Google Scholar 

  13. R. Metzler, Generalized Chapman-Kolmogorov equation: a unifying approach to the description of anomalous transport in external fields. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top. 62(62), 6233–6245 (2000)

    Google Scholar 

  14. B.S. Cooper, G.F. Medley, G.M. Scott, Preliminary analysis of the transmission dynamics of nosocomial infections: stochastic and management effects. J. Hosp. Infect. 43(2), 0–147 (1999)

    Article  Google Scholar 

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Correspondence to Zhu Min .

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Min, Z., Qiang, S. (2020). Study on the Control Measures of MDRO Transmission in ICU Based on Markov Process. In: Yang, H., Qiu, R., Chen, W. (eds) Smart Service Systems, Operations Management, and Analytics. INFORMS-CSS 2019. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-30967-1_32

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