9781493998265-1493998269-Mathematical Models in Epidemiology (Texts in Applied Mathematics, 69)

Mathematical Models in Epidemiology (Texts in Applied Mathematics, 69)

ISBN-13: 9781493998265
ISBN-10: 1493998269
Edition: 1st ed. 2019
Author: Carlos Castillo-Chavez, Fred Brauer, Zhilan Feng
Publication date: 2019
Publisher: Springer
Format: Hardcover 637 pages
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Book details

ISBN-13: 9781493998265
ISBN-10: 1493998269
Edition: 1st ed. 2019
Author: Carlos Castillo-Chavez, Fred Brauer, Zhilan Feng
Publication date: 2019
Publisher: Springer
Format: Hardcover 637 pages

Summary

Mathematical Models in Epidemiology (Texts in Applied Mathematics, 69) (ISBN-13: 9781493998265 and ISBN-10: 1493998269), written by authors Carlos Castillo-Chavez, Fred Brauer, Zhilan Feng, was published by Springer in 2019. With an overall rating of 3.6 stars, it's a notable title among other Computer Simulation (Computer Science, Technology) books. You can easily purchase or rent Mathematical Models in Epidemiology (Texts in Applied Mathematics, 69) (Hardcover, Used) from BooksRun, along with many other new and used Computer Simulation books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.52.

Description

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.

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