Titlebook: Mathematical Modeling for Epidemiology and Ecology; Glenn Ledder Textbook 2023Latest edition The Editor(s) (if applicable) and The Author(

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Discrete Linear Systemsl growth rate difficult to determine. However, we can demonstrate that such systems do eventually tend toward exponential growth (or decay); for problems with a limited number of classes, we can prescribe an intuitive method for determining both the eventual growth rate and the stable distribution o

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Textbook 2023Latest editionysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology..The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that f

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1867-5506 om both halves, such as a course on mathematical epidemiology..The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that f978-3-031-09456-9978-3-031-09454-5Series ISSN 1867-5506 Series E-ISSN 1867-5514

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Mechanistic Modelinguces scaling, and then the chapter concludes with three case studies, on lead poisoning, biochemical kinetics, and endemic disease models. Five projects allow students to investigate a variety of questions in epidemiology.

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Empirical Modelingdependent variables of a model and then using a mathematical procedure to determine the parameter values that give the best fit for the data. This is the subject of empirical modeling, which encompasses two questions.

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