£112.89

Academic Press ODE/PDE Analysis of Antibiotic Resistance in R

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Description

Master the mathematical modeling of antimicrobial resistance with this specialized technical guide from Academic Press. This book provides a comprehensive framework for understanding resistance through ordinary and partial differential equations (ODE/PDEs). Readers begin with foundational ODE models in the opening chapter and progress toward advanced PDE models in the final chapters. These complex models track the spatiotemporal distribution of four vital components: susceptible bacteria population density, resistant bacteria population density, plasmid number, and antibiotic concentration. To bridge the gap between theory and application, the text includes computer-based implementations. You will find example models presented through routines coded in R, allowing for practical testing and simulation of mathematical biological systems. This resource is designed for researchers and professionals needing a rigorous approach to modeling bacterial behavior and antibiotic efficacy.

Key Features

Covers mathematical models for antibiotic and antimicrobial resistance using both ODE and PDE frameworks.

Provides a progressive learning path starting from basic ODE models to complex spatiotemporal PDE models.

Tracks four critical variables including susceptible and resistant bacteria density, plasmid number, and antibiotic concentration.

Includes practical computer-based implementations using R programming routines for model execution.

Analyzes spatiotemporal distribution to understand how resistance moves through different environments.

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