Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*

Abstract In this work, we investigate the role of environmental contamination on the clinical epidemiology of antibiotic-resistant bacteria in hospitals. Methicillin-resistant Staphylococcus aureus (MRSA) is a bacterium that causes infections in different parts of the body. It is tougher to treat th...

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Autores principales:	Lei Wang, Shigui Ruan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5ce08bf356e3461db21c47f01dc9e2ce
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spelling	oai:doaj.org-article:5ce08bf356e3461db21c47f01dc9e2ce2021-12-02T15:06:18ZModeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*10.1038/s41598-017-00261-12045-2322https://doaj.org/article/5ce08bf356e3461db21c47f01dc9e2ce2017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00261-1https://doaj.org/toc/2045-2322Abstract In this work, we investigate the role of environmental contamination on the clinical epidemiology of antibiotic-resistant bacteria in hospitals. Methicillin-resistant Staphylococcus aureus (MRSA) is a bacterium that causes infections in different parts of the body. It is tougher to treat than most strains of Staphylococcus aureus or staph, because it is resistant to some commonly used antibiotics. Both deterministic and stochastic models are constructed to describe the transmission characteristics of MRSA in hospital setting. The deterministic epidemic model includes five compartments: colonized and uncolonized patients, contaminated and uncontaminated health care workers (HCWs), and bacterial load in environment. The basic reproduction number R 0 is calculated, and its numerical and sensitivity analysis has been performed to study the asymptotic behavior of the model, and to help identify factors responsible for observed patterns of infections. A stochastic epidemic model with stochastic simulations is also presented to supply a comprehensive analysis of its behavior. Data collected from Beijing Tongren Hospital will be used in the numerical simulations of our model. The results can be used to provide theoretical guidance for designing efficient control measures, such as increasing the hand hygiene compliance of HCWs and disinfection rate of environment, and decreasing the transmission rate between environment and patients and HCWs.Lei WangShigui RuanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lei Wang Shigui Ruan Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*
description	Abstract In this work, we investigate the role of environmental contamination on the clinical epidemiology of antibiotic-resistant bacteria in hospitals. Methicillin-resistant Staphylococcus aureus (MRSA) is a bacterium that causes infections in different parts of the body. It is tougher to treat than most strains of Staphylococcus aureus or staph, because it is resistant to some commonly used antibiotics. Both deterministic and stochastic models are constructed to describe the transmission characteristics of MRSA in hospital setting. The deterministic epidemic model includes five compartments: colonized and uncolonized patients, contaminated and uncontaminated health care workers (HCWs), and bacterial load in environment. The basic reproduction number R 0 is calculated, and its numerical and sensitivity analysis has been performed to study the asymptotic behavior of the model, and to help identify factors responsible for observed patterns of infections. A stochastic epidemic model with stochastic simulations is also presented to supply a comprehensive analysis of its behavior. Data collected from Beijing Tongren Hospital will be used in the numerical simulations of our model. The results can be used to provide theoretical guidance for designing efficient control measures, such as increasing the hand hygiene compliance of HCWs and disinfection rate of environment, and decreasing the transmission rate between environment and patients and HCWs.
format	article
author	Lei Wang Shigui Ruan
author_facet	Lei Wang Shigui Ruan
author_sort	Lei Wang
title	Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*
title_short	Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*
title_full	Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*
title_fullStr	Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*
title_full_unstemmed	Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*
title_sort	modeling nosocomial infections of methicillin-resistant staphylococcus aureus with environment contamination*
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/5ce08bf356e3461db21c47f01dc9e2ce
work_keys_str_mv	AT leiwang modelingnosocomialinfectionsofmethicillinresistantstaphylococcusaureuswithenvironmentcontamination AT shiguiruan modelingnosocomialinfectionsofmethicillinresistantstaphylococcusaureuswithenvironmentcontamination
_version_	1718388514474688512

Modeling Nosocomial Infections of Methicillin-Resistant Staphylococcus aureus with Environment Contamination*

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