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Mathematical immunology of virus inf...

Bocharov, Gennady.

Mathematical immunology of virus infections

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical immunology of virus infectionsby Gennady Bocharov ... [et al.].
其他作者:	Bocharov, Gennady.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xv, 245 p. :digital ;24 cm.
Contained By:	Springer eBooks
標題:	Virus diseasesMathematical models.
電子資源:	http://dx.doi.org/10.1007/978-3-319-72317-4
ISBN:	9783319723174$q(electronic bk.)

Mathematical immunology of virus infections
Mathematical immunology of virus infections[electronic resource] /by Gennady Bocharov ... [et al.]. - Cham :Springer International Publishing :2018. - xv, 245 p. :digital ;24 cm.

Principles of virus-host interaction -- Basic principles of building a mathematical model of immune response -- Parameter estimation and model selection -- Modelling of experimental infections -- Modelling of human infections -- Spatial modelling using reaction-diffusion systems -- Multi-scale and integrative modelling approaches -- Current challenges.

This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.

ISBN: 9783319723174$q(electronic bk.)

Standard No.: 10.1007/978-3-319-72317-4doiSubjects--Topical Terms:

819202
Virus diseases
--Mathematical models.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15195

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505 0 $a Principles of virus-host interaction -- Basic principles of building a mathematical model of immune response -- Parameter estimation and model selection -- Modelling of experimental infections -- Modelling of human infections -- Spatial modelling using reaction-diffusion systems -- Multi-scale and integrative modelling approaches -- Current challenges.
520 $a This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.
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