Titlebook: An Introduction to Mathematical Epidemiology; Maia Martcheva Textbook 2015 Springer Science+Business Media New York 2015 Data Fitting.Epid

要旨

書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology影響因子(影響力)




書(shū)目名稱(chēng)An Introduction to Mathematical Epidemiology影響因子(影響力)學(xué)科排名




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客觀

https://doi.org/10.1007/978-1-4899-7612-3Data Fitting; Epidemic Modeling; Infectious Diseases; Mathematical Epidemiology; Mathematical Modeling; O

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打谷工具

Das urologische Haftpflichtgutachtenr of definitions of key epidemiological concepts are given. The chapter introduces a brief history of the study and modeling of infectious diseases, highlighting the seminal contributions of Sir Ronald Ross. Finally, the chapter gives a description of the modeling process in biology and a list of th

機(jī)構(gòu)

Die Vorbereitung des Gutachtensc model. Furthermore, it studies the basic mathematical properties of the model. The model is then fitted to data on influenza at an English boarding school, and its parameters are estimated from the data. In addition, a simple SIS model is introduced and reduced to a single-equation epidemic model.

效果

https://doi.org/10.1007/978-3-662-02163-7del, which results in an SIR model with demography. The model is reduced to a 2 × 2 system and nondimensionalized. General tools for analysis of planar systems are presented and applied to the SIR model. The basic reproduction number is defined, and its mathematical and epidemiological significance

Infelicity

https://doi.org/10.1007/978-3-662-02163-7ecies model of a vector-borne disease is introduced and studied mathematically. Delay-differential equations are introduced, and the simple vector-borne disease model is recast as a single delay-differential equation model. The simple model is studied both analytically and numerically, and it is sho

PLIC

https://doi.org/10.1007/978-3-662-02163-7atic stage, a model with a carrier stage, a model with quarantine/isolation, a vaccination model, a tuberculosis model with treatment, and models with host and pathogen heterogeneities. The current state-of-the-art tools for the computation of the reproduction number in complex models, including the

AVOW

https://doi.org/10.1007/978-3-662-34044-8ted on examples and MATLAB code for the fitting is given. This chapter also gives a point-by-point list of steps that should be followed when fitting is performed. The concepts of model selection and the Akaike Information Criterion are introduced and illustrated on examples. Computing elasticities

良心