Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its history

<p>Abstract</p> <p>Background</p> <p>Methicillin-resistant <it>Staphylococcus aureus</it> (MRSA) is endemic in many hospital settings, posing substantial threats and economic burdens worldwide.</p> <p>Methods</p> <p>We propose mathema...

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Main Authors: Chamchod Farida, Ruan Shigui
Format: Article
Language:English
Published: BMC 2012-06-01
Series:Theoretical Biology and Medical Modelling
Online Access:http://www.tbiomed.com/content/9/1/25
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spelling doaj-77652928684e411ea8af518f14620f942020-11-24T22:14:39ZengBMCTheoretical Biology and Medical Modelling1742-46822012-06-01912510.1186/1742-4682-9-25Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its historyChamchod FaridaRuan Shigui<p>Abstract</p> <p>Background</p> <p>Methicillin-resistant <it>Staphylococcus aureus</it> (MRSA) is endemic in many hospital settings, posing substantial threats and economic burdens worldwide.</p> <p>Methods</p> <p>We propose mathematical models to investigate the transmission dynamics of MRSA and determine factors that influence the prevalence of MRSA infection when antibiotics are given to patients to treat or prevent infections with either MRSA itself or other bacterial pathogens.</p> <p>Results</p> <p>Our results suggest that: (<it>i</it>) MRSA always persists in the hospital when colonized and infected patients are admitted; (<it>ii</it>) the longer the duration of treatment of infected patients and the lower the probability of successful treatment will increase the prevalence of MRSA infection; (<it>iii</it>) the longer the duration of contamination of health care workers (HCWs) and the more their contacts with patients may increase the prevalence of MRSA infection; (<it>iv</it>) possible ways to control the prevalence of MRSA infection include treating patients with antibiotic history as quickly and efficiently as possible, screening and isolating colonized and infected patients at admission, and compliance with strict hand-washing rules by HCWs.</p> <p>Conclusion</p> <p>Our modeling studies offer an approach to investigating MRSA infection in hospital settings and the impact of antibiotic history on the incidence of infection. Our findings suggest important influences on the prevalence of MRSA infection which may be useful in designing control policies.</p> http://www.tbiomed.com/content/9/1/25
collection DOAJ
language English
format Article
sources DOAJ
author Chamchod Farida
Ruan Shigui
spellingShingle Chamchod Farida
Ruan Shigui
Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its history
Theoretical Biology and Medical Modelling
author_facet Chamchod Farida
Ruan Shigui
author_sort Chamchod Farida
title Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its history
title_short Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its history
title_full Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its history
title_fullStr Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its history
title_full_unstemmed Modeling methicillin-resistant <it>Staphylococcus aureus</it> in hospitals: Transmission dynamics, antibiotic usage and its history
title_sort modeling methicillin-resistant <it>staphylococcus aureus</it> in hospitals: transmission dynamics, antibiotic usage and its history
publisher BMC
series Theoretical Biology and Medical Modelling
issn 1742-4682
publishDate 2012-06-01
description <p>Abstract</p> <p>Background</p> <p>Methicillin-resistant <it>Staphylococcus aureus</it> (MRSA) is endemic in many hospital settings, posing substantial threats and economic burdens worldwide.</p> <p>Methods</p> <p>We propose mathematical models to investigate the transmission dynamics of MRSA and determine factors that influence the prevalence of MRSA infection when antibiotics are given to patients to treat or prevent infections with either MRSA itself or other bacterial pathogens.</p> <p>Results</p> <p>Our results suggest that: (<it>i</it>) MRSA always persists in the hospital when colonized and infected patients are admitted; (<it>ii</it>) the longer the duration of treatment of infected patients and the lower the probability of successful treatment will increase the prevalence of MRSA infection; (<it>iii</it>) the longer the duration of contamination of health care workers (HCWs) and the more their contacts with patients may increase the prevalence of MRSA infection; (<it>iv</it>) possible ways to control the prevalence of MRSA infection include treating patients with antibiotic history as quickly and efficiently as possible, screening and isolating colonized and infected patients at admission, and compliance with strict hand-washing rules by HCWs.</p> <p>Conclusion</p> <p>Our modeling studies offer an approach to investigating MRSA infection in hospital settings and the impact of antibiotic history on the incidence of infection. Our findings suggest important influences on the prevalence of MRSA infection which may be useful in designing control policies.</p>
url http://www.tbiomed.com/content/9/1/25
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