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＜電子ブック＞
Mathematical Models in Epidemiology / by Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng
(Texts in Applied Mathematics. ISSN:21969949 ; 69)

版	1st ed. 2019.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2019
本文言語	英語
大きさ	XVIII, 619 p. 121 illus., 67 illus. in color : online resource
著者標目	*Brauer, Fred author Castillo-Chavez, Carlos author Feng, Zhilan author SpringerLink (Online service)
件　名	LCSH:Biomathematics LCSH:Probabilities LCSH:Mathematical models FREE:Mathematical and Computational Biology FREE:Probability Theory FREE:Mathematical Modeling and Industrial Mathematics
一般注記	Introduction; A prelude to mathematical epidemiology -- Simple compartmental models for disease transmission -- Endemic disease models -- Epidemic models -- Models with heterogeneous mixing -- Models for diseases transmitted by vectors -- models for tuberculosis -- Models for HIV?AIDS -- Models for influenza -- Models for Ebola -- Models for malaria -- Dengue fever and the Zika virus -- Disease transmission models withagedpendence -- Spatial structure in disease transmission models -- Epidemiological models incorporating mobility, behavior, and time scales -- Challenges, opportunities, and theoretical epidemiology. The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future. There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematicalbackground so that the book can be useful for both mathematical modelers and public health professionals. HTTP:URL=https://doi.org/10.1007/978-1-4939-9828-9

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