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An Introduction to mathematical modeling of infectious diseases/ Michael Y Li

By: Series: Mathematics of Planet Earth ; 2Publication details: Cham: Springer, 2018Description: x,156 pages, 24 cmISBN:
  • 9783319891446
Subject(s): DDC classification:
  • 23 616.015118 L693
Contents:
Preface -- 1. Important Concepts in Mathematical Modeling of Infectious Diseases -- 2. Five Classic Epidemic Models and Their Analysis -- 3. Basic Mathematical Tools and Techniques -- 4. Parameter Estimation and Nonlinear Least-Squares Methods -- 5. Special Topics
Summary: This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies. The book includes mathematical descriptions of epidemiological concepts, and uses classic epidemic models to introduce different mathematical methods in model analysis. Matlab codes are also included for numerical implementations. It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases. Although written in a rigorous mathematical manner, the style is not unfriendly to non-mathematicians.
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Includes bibliographical references

Preface -- 1. Important Concepts in Mathematical Modeling of Infectious Diseases -- 2. Five Classic Epidemic Models and Their Analysis -- 3. Basic Mathematical Tools and Techniques -- 4. Parameter Estimation and Nonlinear Least-Squares Methods -- 5. Special Topics

This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies. The book includes mathematical descriptions of epidemiological concepts, and uses classic epidemic models to introduce different mathematical methods in model analysis. Matlab codes are also included for numerical implementations.

It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases. Although written in a rigorous mathematical manner, the style is not unfriendly to non-mathematicians.

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