title: Qualitative analysis of models with different treatment protocols to prevent antibiotic resistance.
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.
authors.affiliation: School of Mathematics and Statistics, Lanzhou University, Lanzhou, Gansu 730000, China.
authors.forename: Hong-Rui
authors.initials: HR
authors.lastname: Sun
authors.forename: Xinxin
authors.initials: X
authors.lastname: Lu
authors.forename: Shigui
authors.initials: S
authors.lastname: Ruan
mesh_terms: D000465:Algorithms; D000900:Anti-Bacterial Agents / Q000627:therapeutic use*; D001424:Bacterial Infections / Q000188:drug therapy* / Q000453:epidemiology; D050936:Basic Reproduction Number; D002985:Clinical Protocols; D003198:Computer Simulation; D024881:Drug Resistance, Bacterial; D004359:Drug Therapy, Combination; D019353:Endemic Diseases; D008954:Models, Biological
chemical_list: D000900:Anti-Bacterial Agents