Age Structured Epidemic Modeling

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Details

This book introduces advanced mathematical methods and techniques for analysis and simulation of models in mathematical epidemiology. Chronological age and class-age play an important role in the description of infectious diseases and this text provides the tools for the analysis of this type of partial differential equation models. This book presents general theoretical tools as well as large number of specific examples to guide the reader to develop their own tools that they may then apply to study structured models in mathematical epidemiology. The book will be a valuable addition to the arsenal of all researchers interested in developing theory or studying specific models with age structure.



Provides an introduction to multi-scale immuno-epidemiological modeling Includes all current types of multi-scale immuno-epidemiological models Provides numerical methods and MATLAB codes for quick implementation of the models in practice Includes both closed form analytical and more realistic computational models

Inhalt
Linear Age-Structured Population Models as a Base of Age-structured Epidemic Models.- Age-Structured Epidemic Models.- Nested immuno-epidemiological models.- Age-since-infection structured models based on game theory.- Age structure models on complex networks.- Vector borne age structured models.- Metapopulation and Multigroup age-structured models.- Class age-structured epidemic models.- Appendix.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 396
    • Herausgeber Springer International Publishing
    • Gewicht 598g
    • Untertitel Interdisciplinary Applied Mathematics 52
    • Autor Xue-Zhi Li , Maia Martcheva , Junyuan Yang
    • Titel Age Structured Epidemic Modeling
    • Veröffentlichung 29.05.2021
    • ISBN 3030424987
    • Format Kartonierter Einband
    • EAN 9783030424985
    • Jahr 2021
    • Größe H235mm x B155mm x T22mm
    • Lesemotiv Verstehen
    • Auflage 1st edition 2020
    • GTIN 09783030424985

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