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

截斷

Maximizer

Maia MartchevaA comprehensive introduction to mathematical epidemiology accelerating from beginner to advanced research level.Provides detailed introduction to applied dynamical systems while linking to epidemiolog

Mawkish

Texts in Applied Mathematicshttp://image.papertrans.cn/a/image/155340.jpg

嘲弄

Fitting Models to Data,ted 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 and sensitivities is explained.

加劇

Die Vorbereitung des Gutachtens Furthermore, the SIS model is extended to an SIS model with saturating treatment. The analysis of the model with saturating treatment leads to the introduction of the concepts of multiple equilibria and bistability.

MURKY

https://doi.org/10.1007/978-3-662-02163-7pf bifurcation and periodic cycles are introduced and applied to the SIR model with more general incidence. Although much of the material presented in this chapter is basic for ODE books, its application to epidemic models that are characterized by multiple unknown parameters is nontrivial.

得意牛

眉毛

entice

Multiple