A model of drug resistance with infection by health care workers

Antibiotic resistant organisms (ARO) pose an increasing seriousthreat in hospitals. One of the most life threatening ARO ismethicillin-resistant staphylococcus aureus (MRSA). In this paper,we introduced a new mathematical model which focuses on theevolution of two bacterial strains, drug-resistant a...

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Main Authors: Avner Friedman, Najat Ziyadi, Khalid Boushaba
Format: Article
Language:English
Published: AIMS Press 2010-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.779
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author Avner Friedman
Najat Ziyadi
Khalid Boushaba
author_facet Avner Friedman
Najat Ziyadi
Khalid Boushaba
author_sort Avner Friedman
collection DOAJ
description Antibiotic resistant organisms (ARO) pose an increasing seriousthreat in hospitals. One of the most life threatening ARO ismethicillin-resistant staphylococcus aureus (MRSA). In this paper,we introduced a new mathematical model which focuses on theevolution of two bacterial strains, drug-resistant and non-drugresistant, residing within the population of patients and healthcare workers in a hospital. The model predicts that as soon as drugis administered, the average load of the non-resistant bacteria willdecrease and eventually (after 6 weeks of the model's simulation)reach a very low level. However, the average load of drug-resistantbacteria will initially decrease, after treatment, but will laterbounce back and remain at a high level. This level can be made lowerif larger amount of drug is given or if the contact between healthcare workers and patients is reduced.
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institution Kabale University
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publishDate 2010-09-01
publisher AIMS Press
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series Mathematical Biosciences and Engineering
spelling doaj-art-ae2c05064fed461686e2311d9ecc03f72025-01-24T02:00:58ZengAIMS PressMathematical Biosciences and Engineering1551-00182010-09-017477979210.3934/mbe.2010.7.779A model of drug resistance with infection by health care workersAvner Friedman0Najat Ziyadi1Khalid Boushaba2The Ohio State University, Department of Mathematics, Columbus, OH 43210The Ohio State University, Department of Mathematics, Columbus, OH 43210The Ohio State University, Department of Mathematics, Columbus, OH 43210Antibiotic resistant organisms (ARO) pose an increasing seriousthreat in hospitals. One of the most life threatening ARO ismethicillin-resistant staphylococcus aureus (MRSA). In this paper,we introduced a new mathematical model which focuses on theevolution of two bacterial strains, drug-resistant and non-drugresistant, residing within the population of patients and healthcare workers in a hospital. The model predicts that as soon as drugis administered, the average load of the non-resistant bacteria willdecrease and eventually (after 6 weeks of the model's simulation)reach a very low level. However, the average load of drug-resistantbacteria will initially decrease, after treatment, but will laterbounce back and remain at a high level. This level can be made lowerif larger amount of drug is given or if the contact between healthcare workers and patients is reduced.https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.779infection in hospitaldrug resistant bacteriahealth care workers.
spellingShingle Avner Friedman
Najat Ziyadi
Khalid Boushaba
A model of drug resistance with infection by health care workers
Mathematical Biosciences and Engineering
infection in hospital
drug resistant bacteria
health care workers.
title A model of drug resistance with infection by health care workers
title_full A model of drug resistance with infection by health care workers
title_fullStr A model of drug resistance with infection by health care workers
title_full_unstemmed A model of drug resistance with infection by health care workers
title_short A model of drug resistance with infection by health care workers
title_sort model of drug resistance with infection by health care workers
topic infection in hospital
drug resistant bacteria
health care workers.
url https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.779
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