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Mathematical immunology of virus inf...

Bocharov, Gennady.

Mathematical immunology of virus infections

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical immunology of virus infectionsby Gennady Bocharov ... [et al.].
other author:	Bocharov, Gennady.
Published:	Cham :Springer International Publishing :2018.
Description:	xv, 245 p. :digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Virus diseasesMathematical models.
Online resource:	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

Mathematical immunology of virus infections
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020 $a 9783319723167$q(paper)
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245 0 0 $a Mathematical immunology of virus infections $h [electronic resource] / $c by Gennady Bocharov ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xv, 245 p. : $b digital ; $c 24 cm.
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.
650 0 $a Virus diseases $x Mathematical models. $3 819202
650 0 $a Mathematics. $3 184409
650 0 $a Immunology. $3 189152
650 0 $a Biomedical engineering. $3 190330
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Biomathematics. $3 212374
650 0 $a Statistics. $3 182057
650 2 4 $a Physiological, Cellular and Medical Topics. $3 274080
650 2 4 $a Biomedical Engineering/Biotechnology. $3 730838
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 274067
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 567118
700 1 $a Bocharov, Gennady. $3 819201
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-72317-4
950 $a Mathematics and Statistics (Springer-11649)