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

PRE

0939-2475 on to applied dynamical systems while linking to epidemiolog.The book is a?comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model?building, fitting to data, local and global analysis techniques. Various types of deterministic dy

博愛家

拔出

Cleave

https://doi.org/10.1007/978-3-662-02163-7 host and pathogen heterogeneities. The current state-of-the-art tools for the computation of the reproduction number in complex models, including the next-generation approach, are introduced and illustrated on examples.

陳列

Ganglion

Indelible

https://doi.org/10.1007/978-3-642-94195-5ions are studied. The chapter also introduces and studies an SIS age-structured model. Intracohort, intercohort, and mixed incidence are discussed. The reproduction number in the age-structured case is derived. Numerical methods for age-structured models are included.

bronchodilator

思考

https://doi.org/10.1007/978-3-663-02257-2ng data, the chapter argues that the transmission rate is not a linear function of the viral load. The epidemiological reproduction number and prevalence of HIV are derived and studied in terms of the within-host viral load. In addition, a nested immuno-epidemiological model with immune response in the within-host model is introduced and studied.

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