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Titlebook: An Introduction to Mathematical Modeling of Infectious Diseases; Michael Y. Li Textbook 2018 Springer International Publishing AG 2018 Mat

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发表于 2025-3-21 19:34:31 | 显示全部楼层 |阅读模式
期刊全称An Introduction to Mathematical Modeling of Infectious Diseases
影响因子2023Michael Y. Li
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发行地址Uses five classic epidemic models to introduce different mathematical methods in model analysis.Provides a chapter on general theory of stability analysis for differential equations.Includes Matlab co
学科分类Mathematics of Planet Earth
图书封面Titlebook: An Introduction to Mathematical Modeling of Infectious Diseases;  Michael Y. Li Textbook 2018 Springer International Publishing AG 2018 Mat
影响因子.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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发表于 2025-3-21 21:31:54 | 显示全部楼层
Joshua E. Motelow,Hal Blumenfeldto real-world problems. Students in public health and biological sciences will be able to learn the basic model analysis and gain exposure to some abstract mathematical concepts such as stability and bifurcations explained in the context of epidemiology, as well as to the theory of modern differenti
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https://doi.org/10.1007/978-3-319-72122-4Mathematical Epidemiology; Infectious Disease; Mathematical Modelling; Public Health; Kermack-McKendrick
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An Introduction to Mathematical Modeling of Infectious Diseases978-3-319-72122-4Series ISSN 2524-4264 Series E-ISSN 2524-4272
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Joshua E. Motelow,Hal Blumenfeld models to demonstrate these methods. We start from the basic Kermack–McKendrick model and progressively expand it to a model with demography, and then introduce the Ross–MacDonald model for malaria. Each model is chosen to illustrate a specific mathematical approach for model analysis: the method o
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