| 书目名称 | Mathematical Models in Epidemiology | | 编辑 | Fred Brauer,Carlos Castillo-Chavez,Zhilan Feng | | 视频video | | | 概述 | A modern description of many important areas of mathematical epidemiology.Provides an introduction to the formation and analysis of disease transmission models.Exercise sets and some projects included | | 丛书名称 | Texts in Applied Mathematics | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Textbook 2019 | | 关键词 | Stochastic Models; Disease Transmission Models; Metapopulation Models; Mathematical models; epidemiology | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4939-9828-9 | | isbn_ebook | 978-1-4939-9828-9Series ISSN 0939-2475 Series E-ISSN 2196-9949 | | issn_series | 0939-2475 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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发表于 2025-3-21 17:35:29
