Literature DB >> 20600160

Qualitative analysis of models with different treatment protocols to prevent antibiotic resistance.

Hong-Rui Sun1, Xinxin Lu, Shigui Ruan.   

Abstract

This paper is concerned with the qualitative analysis of two models [S. Bonhoeffer, M. Lipsitch, B.R. Levin, Evaluating treatment protocols to prevent antibiotic resistance, Proc. Natl. Acad. Sci. USA 94 (1997) 12106] for different treatment protocols to prevent antibiotic resistance. Detailed qualitative analysis about the local or global stability of the equilibria of both models is carried out in term of the basic reproduction number R(0). For the model with a single antibiotic therapy, we show that if R(0)<1, then the disease-free equilibrium is globally asymptotically stable; if R(0)>1, then the disease-endemic equilibrium is globally asymptotically stable. For the model with multiple antibiotic therapies, stabilities of various equilibria are analyzed and combining treatment is shown better than cycling treatment. Numerical simulations are performed to show that the dynamical properties depend intimately upon the parameters. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20600160      PMCID: PMC2925136          DOI: 10.1016/j.mbs.2010.06.002

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  22 in total

Review 1.  Understanding the spread of antibiotic resistant pathogens in hospitals: mathematical models as tools for control.

Authors:  M J Bonten; D J Austin; M Lipsitch
Journal:  Clin Infect Dis       Date:  2001-10-10       Impact factor: 9.079

2.  Interference competition and species coexistence.

Authors:  Priyanga Amarasekare
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3.  Ecological theory suggests that antimicrobial cycling will not reduce antimicrobial resistance in hospitals.

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4.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations.

Authors:  O Diekmann; J A Heesterbeek; J A Metz
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

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6.  Modeling antibiotic resistance in hospitals: the impact of minimizing treatment duration.

Authors:  Erika M C D'Agata; Pierre Magal; Damien Olivier; Shigui Ruan; Glenn F Webb
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7.  Analysis of a disease transmission model in a population with varying size.

Authors:  S Busenberg; P van den Driessche
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8.  A competitive exclusion principle for pathogen virulence.

Authors:  H J Bremermann; H R Thieme
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Review 9.  Emergence and resurgence of meticillin-resistant Staphylococcus aureus as a public-health threat.

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5.  Antibiotic rotation strategies to reduce antimicrobial resistance in Gram-negative bacteria in European intensive care units: study protocol for a cluster-randomized crossover controlled trial.

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