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: Brauer, Fred, Castillo-Chavez, Carlos, Feng, Zhilan
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: Brauer, Fred, Castillo-Chavez, Carlos, Feng, Zhilan
Publication date: 2019
Publisher: Springer
Format: Hardcover 637 pages

Summary

Acknowledged authors Brauer, Fred, Castillo-Chavez, Carlos, Feng, Zhilan wrote Mathematical Models in Epidemiology (Texts in Applied Mathematics, 69) comprising 637 pages back in 2019. Textbook and eTextbook are published under ISBN 1493998269 and 9781493998265. Since then Mathematical Models in Epidemiology (Texts in Applied Mathematics, 69) textbook was available to sell back to BooksRun online for the top buyback price of $ 4.04 or rent at the marketplace.

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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