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ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance
Programming in R
Presents models for antibiotic/antimicrobial resistance based on ordinary and partial di?erential equations
William E. Schiesser (Author)
9780128240021
Paperback, published 15 August 2020
122 pages
23.4 x 19 x 0.9 cm, 0.27 kg
ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance: Programming in R presents mathematical models for antibiotic/antimicrobial resistance based on ordinary and partial differential equations (ODE/PDEs). Sections cover the basic ODE model, the detailed PDE model that gives the spatiotemporal distribution of four dependent variable components, including susceptible bacteria population density, resistant bacteria population density, plasmid number, and antibiotic concentration. The computer-based implementation of the example models is presented through routines coded (programmed) in R, a quality, open-source scientific computing system that is readily available from the Internet. As such, formal mathematics is minimized and no theorems and proofs are required. The PDE analysis is based on the method of lines (MOL), an established general algorithm for PDEs that is implemented with finite differences. Routines are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. Routines can then be applied to variations and extensions of the antibiotic/antimicrobial models, such as changes in the ODE/PDE parameters (constants) and the form of the model equations.
1. Introductory ODE model 2. Analysis of the ODE model equations 3. ODE analysis of antibiotic/antimicrobial resistance 4. Introductory PDE model 5. Parameter analysis of the PDE model 6. Parameter time variation The R routines discussed in the book are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. The routines can then be applied to variations and extensions of the antibiotic/antimicrobial models, such as changes in the ODE/PDE parameters (constants) and the form of the model equations.
Subject Areas: Biomedical engineering [MQW]
