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Introducing Mathematical Biology: Table Of Contents

Introducing Mathematical Biology
Table Of Contents
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table of contents
  1. Cover
  2. Title Page
  3. Copyright
  4. Table Of Contents
  5. Introduction
  6. Population ecology
    1. Single population models
    2. Interacting populations 1: competition
    3. Interacting populations 2: predator-prey
  7. Infectious disease
    1. Epidemics in human populations
    2. The SIR model with demographics
    3. Diseases of ecological populations
    4. Evolution and adaptive dynamics
  8. Immune and cell dynamics
    1. A within-host Covid-19 model
    2. A within-host HIV-I model
    3. Introducing models of cancer dynamics
    4. A model of cancer volume dynamics
  9. Gene networks
    1. Introducing gene networks
    2. Autoregulation 1: auto-repression
    3. Autoregulation 2: auto-activation
    4. Longer negative feedback networks
    5. A two-gene toggle switch
  10. Pharmacokinetics
    1. Single intravenous bolus dose
    2. Repeated intravenous bolus doses
    3. Single and repeated oral doses
    4. A two compartment bolus model
  11. Background reviews
    1. Phase portraits
    2. Linear stability analysis
    3. Bifurcations
  12. Final thoughts and acknowledgements
  13. References

Contents

  • Introduction
    • What is this?
    • What mathematics will we use?
    • What applications will we see?
    • Who is this aimed at?
    • How do I use this book?
    • What is an Open Education Resource?
    • Feedback
  • Part I. Population ecology
  • 1. Single population models
    • A first population model
    • The logistic equation
    • Case study: spruce budworm
  • 2. Interacting populations 1: competition
    • Case study: Red and grey squirrels
    • Analysis
    • A bifurcation diagram
  • 3. Interacting populations 2: predator-prey
    • A simple predator-prey model
    • A more realistic model
    • Hopf bifurcation
  • Part II. Infectious disease
  • 4. Epidemics in human populations
    • the Susceptible-Infected-Recovered model
    • Analysis
    • The basic reproductive ratio, $latex R_0$
    • The epidemic curve
  • 5. The SIR model with demographics
    • Including Births and Deaths
    • Endemic disease
    • Vaccination
  • 6. Diseases of ecological populations
    • Introduction
    • A case study: controlling rabbits in Australia
    • A free-living parasite model
  • 7. Evolution and adaptive dynamics
    • Introducing evolution
    • Resident dynamics
    • Fitness
    • The evolution of parasite virulence
  • Part III. Immune and cell dynamics
  • 8. A within-host Covid-19 model
    • A model for Covid-19
    • A graphical analysis
    • Linear stability analysis
  • 9. A within-host HIV-I model
    • Case study: HIV-I
    • A (pre-treatment) model
    • Treatment
  • 10. Introducing models of cancer dynamics
    • Introducing cancer models
    • Single variable models
    • Two variable models
    • Summary
  • 11. A model of cancer volume dynamics
    • A model for angiogenesis
    • Anaylsis
    • Treatment
  • Part IV. Gene networks
  • 12. Introducing gene networks
    • A quick guide to cells and genetic networks
    • A first model
    • Constant transcription
    • Oscillating transcription
  • 13. Autoregulation 1: auto-repression
    • regulatory feedback loops
    • Constructing the phase portrait
    • Auto-repression: a negative feedback
    • Sketching the phase portrait
  • 14. Autoregulation 2: auto-activation
    • Auto-activation: a positive feedback
    • Using phase portraits
    • An example transcription function
  • 15. Longer negative feedback networks
    • A simplified 3-variable model
  • 16. A two-gene toggle switch
    • A general model form
    • Biological significance
  • Part V. Pharmacokinetics
  • 17. Single intravenous bolus dose
    • What is pharmacokinetics?
    • A single dose model
    • Drug half-life
  • 18. Repeated intravenous bolus doses
    • Why repeated doses might be a problem
    • Mathematical derivation
    • Loading dose and maintenance dose
  • 19. Single and repeated oral doses
    • Developing a 2-compartment model
    • Repeated oral doses
    • Example problems
  • 20. A two compartment bolus model
    • A bloodstream-tissue model
    • Solving a system of linear equations
  • Part VI. Background reviews
  • 21. Phase portraits
    • A Graphical analysis
    • Algorithm
  • 22. Linear stability analysis
    • Introduction
    • One-Dimensional systems
    • Two-dimensional systems
    • Higher-Dimensional systems
  • 23. Bifurcations
    • Introducing bifurcations
    • Standard bifurcations
  • Final thoughts and acknowledgements
    • Summary
    • Further study
    • Acknowledgements
    • About the author
  • References

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            Introducing Mathematical Biology by Alex Best is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.
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