國立高雄大學圖資館 |

Language: English

Back

Infectious disease modelinga hybrid ...

Liu, Xinzhi.

Infectious disease modelinga hybrid system approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Infectious disease modelingby Xinzhi Liu, Peter Stechlinski.
Reminder of title:	a hybrid system approach /
Author:	Liu, Xinzhi.
other author:	Stechlinski, Peter.
Published:	Cham :Springer International Publishing :2017.
Description:	xvi, 271 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Communicable diseasesMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-319-53208-0
ISBN:	9783319532080$q(electronic bk.)

Infectious disease modelinga hybrid system approach /
Liu, Xinzhi.

Infectious disease modelinga hybrid system approach /[electronic resource] :by Xinzhi Liu, Peter Stechlinski. - Cham :Springer International Publishing :2017. - xvi, 271 p. :ill., digital ;24 cm. - Nonlinear systems and complexity,v.192195-9994 ;. - Nonlinear systems and complexity ;7..

Introduction -- Modelling the Spread of an Infectious Disease -- Hybrid Epidemic Models -- Control Strategies for Eradication -- Discussions and Conclusions -- References -- Appendix.

This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a motivation for seasonal effects and changes in population behavior, an investigation into term-time forced epidemic models with switching parameters, and a detailed account of several different control strategies. The main goal is to study these models theoretically and to establish conditions under which eradication or persistence of the disease is guaranteed. In doing so, the long-term behavior of the models is determined through mathematical techniques from switched systems theory. Numerical simulations are also given to augment and illustrate the theoretical results and to help study the efficacy of the control schemes.

ISBN: 9783319532080$q(electronic bk.)

Standard No.: 10.1007/978-3-319-53208-0doiSubjects--Topical Terms:

338149
Communicable diseases
--Mathematical models.

LC Class. No.: RA643

Dewey Class. No.: 614.4015118

Infectious disease modelinga hybrid system approach /
LDR:02184nmm a2200349 a 4500 001 507444
003 DE-He213
005 20170823154621.0
006 m d
007 cr nn 008maaau
008 171030s2017 gw s 0 eng d
020 $a 9783319532080$q(electronic bk.)
020 $a 9783319532066$q(paper)
024 7 $a 10.1007/978-3-319-53208-0 $2 doi
035 $a 978-3-319-53208-0
040 $a GP $c GP
041 0 $a eng
050 4 $a RA643
072 7 $a PBWH $2 bicssc
072 7 $a TBJ $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a TEC009060 $2 bisacsh
082 0 4 $a 614.4015118 $2 23
090 $a RA643 $b .L783 2017
100 1 $a Liu, Xinzhi. $3 774088
245 1 0 $a Infectious disease modeling $h [electronic resource] : $b a hybrid system approach / $c by Xinzhi Liu, Peter Stechlinski.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvi, 271 p. : $b ill., digital ; $c 24 cm.
490 1 $a Nonlinear systems and complexity, $x 2195-9994 ; $v v.19
505 0 $a Introduction -- Modelling the Spread of an Infectious Disease -- Hybrid Epidemic Models -- Control Strategies for Eradication -- Discussions and Conclusions -- References -- Appendix.
520 $a This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a motivation for seasonal effects and changes in population behavior, an investigation into term-time forced epidemic models with switching parameters, and a detailed account of several different control strategies. The main goal is to study these models theoretically and to establish conditions under which eradication or persistence of the disease is guaranteed. In doing so, the long-term behavior of the models is determined through mathematical techniques from switched systems theory. Numerical simulations are also given to augment and illustrate the theoretical results and to help study the efficacy of the control schemes.
650 0 $a Communicable diseases $x Mathematical models. $3 338149
650 0 $a Communicable diseases $x Epidemiology. $3 345501
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
650 2 4 $a Infectious Diseases. $3 274275
650 2 4 $a Complexity. $3 274400
650 2 4 $a Applications of Nonlinear Dynamics and Chaos Theory. $3 760027
650 2 4 $a Epidemiology. $3 191577
700 1 $a Stechlinski, Peter. $3 774089
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Nonlinear systems and complexity ; $v 7. $3 677052
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-53208-0
950 $a Engineering (Springer-11647)