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ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance

Programming in R

  • 1st Edition - August 13, 2020
  • Author: William E. Schiesser
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 2 4 0 0 2 - 1
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 2 4 2 5 0 - 6

ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance: Programming in R presents mathematical models for antibiotic/antimicrobial resistance based on ordinary and partial d… Read more

ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance

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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.