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Mathematical Models in Epidemiology
~
Castillo-Chavez, Carlos.
Mathematical Models in Epidemiology
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Mathematical Models in Epidemiology/ by Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng.
作者:
Brauer, Fred.
其他作者:
Castillo-Chavez, Carlos.
面頁冊數:
XVII, 619 p. 121 illus., 67 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Biomathematics. -
電子資源:
https://doi.org/10.1007/978-1-4939-9828-9
ISBN:
9781493998289
Mathematical Models in Epidemiology
Brauer, Fred.
Mathematical Models in Epidemiology
[electronic resource] /by Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng. - 1st ed. 2019. - XVII, 619 p. 121 illus., 67 illus. in color.online resource. - Texts in Applied Mathematics,690939-2475 ;. - Texts in Applied Mathematics,59.
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 mathematical background so that the book can be useful for both mathematical modelers and public health professionals. .
ISBN: 9781493998289
Standard No.: 10.1007/978-1-4939-9828-9doiSubjects--Topical Terms:
527725
Biomathematics.
LC Class. No.: QH323.5
Dewey Class. No.: 570.285
Mathematical Models in Epidemiology
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