Mathematical Models in Epidemiology (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Texts in Applied Mathematics, 69
Release date:	October 2019
First published:	2019
Authors:	Fred Brauer • Carlos Castillo-Chavez • Zhilan Feng
Dimensions:	235 x 155 x 43mm (L x W x T)
Format:	Hardcover
Pages:	619
Edition:	1st ed. 2019
ISBN-13:	978-1-4939-9826-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	1-4939-9826-9
Barcode:	9781493998265

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