【图书描述】: "This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of- along with many new ideas and results on —infectious disease modeling, parameter estimation and transmission dynamics. It provides complementary approaches, from deterministic to statistical to network modeling; and it seeks viewpoints of the same issues from different angles, from mathematical modeling to statistical analysis to computer simulations and finally to concrete applications." 【内容简介】: 《传染病的建模与动力学》由马知恩等人编，《传染病的建模与动力学》为精装，共343页。This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of-along with many new ideas and results oninfectious disease modeling，parameter estimation and transmission dynamics．it provides complementary approaches．from deterministic to statistical to network modeling；and it seeks viewpoints of the same issues from different angles，from mathematical modeling to statisticaI analysis to computer simulations and finally to concrete applications.PrefaceZhien Ma：Some Recent Results on Epidemic Dynamics Obtained by OurGroupFred Brauer，Jianhong Wu：Modeling SARS．West Nile Virus，Pandemic Influenza and Other Emerging Infectious Diseases：A CanadianTeam’sAdventure． 【目录】: Preface Zhien Ma： Some Recent Results on Epidemic Dynamics Obtained by Our Group Fred Brauer， Jianhong Wu： Modeling SARS， West Nile Virus， Pandemic Influenza and Other Emerging Infectious Diseases： A Canadian Teams Adventure Julien Arino： Diseases in Metapopulations Fred Brauer. Modeling the Start of a Disease Outbreak Troy Day： Mathematical Techniques in the Evolutionary Epidemiology of Infectious Diseases Zhilan Fcng， Dashun Xu， Haiyun Zhao： The Uses of Epidemiological Models in the Study of Disease Control John W. Glasser， Maureen Birmingham： Assessing the Burden of Congenital Rubella Syndrome and Ensuring Optimal Mitigation via Mathematical Modeling Thanate Dhirasakdanon， Horst R. Thieme： Persistence of Vertically Transmitted Parasite Strains which Protect against More Virulent Horizontally Transmitted Strains Ying-Hen Hsieh： Richards Model： A Simple Procedure for Real-time Prediction of Outbreak Severity James Watmough： The Basic Reproduction Number and the Final Size of an Epidemic K.P. Hadeler. Epidemic Models with Reservoirs Hongbin Guo， Michael Y. Li， Zhisheng Shuai： Global Stability in Multigroup Epidemic Models Wendi Wang： Epidemic Models with Time Delays Shenghai Zhang： A Simulation Approach to Analysis of Antiviral Stockpile Sizes for Influenza Pandemic Peter Buck， Rongsong Liu， Jiangping Shuai， Jianhong Wu， Huaiping Zhu： Modeling and Simulation Studies of West Nile Virus in Southern Ontario Canada 【文摘】: The goal of this synthetic paper is to introduce a part of research directions on epidemic dynamics investigated by our group and our main results during the past several years Before this． some basic knowledge on epidemic dynamics will be introduced which may be helpful to those readers who are not familiar with the mathematical modeling oil Epidemiology 1 Basic knowledge on epidemic dynamics Epidemic dynamics is an important method of studying tile spread of infectious disease qualitatively and quantitatively It is based on the specific property of population growth，the spread rules of infectious disemses，and the related social factors，etc，to construct nlathelnatical nmdels reflecting the dynamic properties of infectious diseases．to analvze the dynamical behavior and to do some simulations The research results are helpful to predict the developing tendency of the infectious disease to determine the key factors of the spread of infectious disease and to seek the optimum strategies of preventing and controlling the spread of infectious diseases In contrast with classic biometrics． dyuamical methods can show the transmission rules of|nfectious diseases from the mechanisin of transmission of the disease，80 that people may know some global dynanlic behavior of the translnission process Combining statistics methods and computer simulations with dynamic methods could make modeling and the original analysis more realistic and ulore reliable make the comprehension for spread rule of infectious diseases more thorough.
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