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Sociophysics approach to epidemics

Tanimoto, Jun.

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Sociophysics approach to epidemics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sociophysics approach to epidemics/ by Jun Tanimoto.
Author:	Tanimoto, Jun.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xvi, 289 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Social Physics Approach to Model and Analyze Epidemic -- Chapter 2. Evolutionary Game Theory; Fundamentals and Application for Epidemiology -- Chapter 3. Fundamentals of Mathematical Epidemiology and Vaccination Game -- Chapter 4. Plural strategies; Intervention game -- Chapter 5. Quarantine and Isolation -- Chapter 6. Media Information Effect Hampering Disease Spreading -- Chapter 7. Immunity Waning Effect -- Chapter 8. Pre-emptive Vaccination versus Antiviral Treatment -- Chapter 9. Pre-emptive Vaccination versus Late Vaccination -- Chapter 10. Influenza Vaccine Uptake -- Chapter 11. Optimal Design of a Vaccination-Subsidy Policy -- Chapter 12. Flexible Modeling -- Postscript.
Contained By:	Springer Nature eBook
Subject:	Epidemiology - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-981-33-6481-3
ISBN:	9789813364813

Sociophysics approach to epidemics
Tanimoto, Jun.

Sociophysics approach to epidemics[electronic resource] /by Jun Tanimoto. - Singapore :Springer Singapore :2021. - xvi, 289 p. :ill., digital ;24 cm. - Evolutionary economics and social complexity science,v.232198-4204 ;. - Evolutionary economics and social complexity science ;v.23..

Chapter 1. Social Physics Approach to Model and Analyze Epidemic -- Chapter 2. Evolutionary Game Theory; Fundamentals and Application for Epidemiology -- Chapter 3. Fundamentals of Mathematical Epidemiology and Vaccination Game -- Chapter 4. Plural strategies; Intervention game -- Chapter 5. Quarantine and Isolation -- Chapter 6. Media Information Effect Hampering Disease Spreading -- Chapter 7. Immunity Waning Effect -- Chapter 8. Pre-emptive Vaccination versus Antiviral Treatment -- Chapter 9. Pre-emptive Vaccination versus Late Vaccination -- Chapter 10. Influenza Vaccine Uptake -- Chapter 11. Optimal Design of a Vaccination-Subsidy Policy -- Chapter 12. Flexible Modeling -- Postscript.

This book presents the fundamentals of evolutionary game theory and applies them to the analysis of epidemics, which is of paramount importance in the aftermath of the worldwide COVID-19 pandemic. The primary objective of this monograph is to deliver a powerful tool to model and analyze the spread of an infectious disease during a pandemic as well as the human decision dynamics. The book employs a variant of the "vaccination game," in which a mathematical epidemiological model dovetails with evolutionary game theory. From a social physics standpoint, this book introduces an extended concept of the vaccination game starting from the fundamental issues and touching on the newest practical applications. The book first outlines the fundamental basis of evolutionary game theory, in which a two-player and two-strategy game, the so-called 2 × 2 game, and a multi-player game are concisely introduced, and the important issue of how social dilemmas are quantified is highlighted. Subsequently, the book discusses various recent applications of the extended concept of the vaccination game so as to quantitatively evaluate provisions other than vaccination, including practical intermediate protective measures such as mask-wearing, efficiency of quarantine compared with that of isolation policies for suppressing epidemics, efficiency of preemptive versus late vaccination, and optimal subsidy policies for vaccination.

ISBN: 9789813364813

Standard No.: 10.1007/978-981-33-6481-3doiSubjects--Topical Terms:

660489
Epidemiology
--Mathematical models.

LC Class. No.: RA652.2.M3 / T365 2021

Dewey Class. No.: 614.4015118

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300 $a xvi, 289 p. : $b ill., digital ; $c 24 cm.
490 1 $a Evolutionary economics and social complexity science, $x 2198-4204 ; $v v.23
505 0 $a Chapter 1. Social Physics Approach to Model and Analyze Epidemic -- Chapter 2. Evolutionary Game Theory; Fundamentals and Application for Epidemiology -- Chapter 3. Fundamentals of Mathematical Epidemiology and Vaccination Game -- Chapter 4. Plural strategies; Intervention game -- Chapter 5. Quarantine and Isolation -- Chapter 6. Media Information Effect Hampering Disease Spreading -- Chapter 7. Immunity Waning Effect -- Chapter 8. Pre-emptive Vaccination versus Antiviral Treatment -- Chapter 9. Pre-emptive Vaccination versus Late Vaccination -- Chapter 10. Influenza Vaccine Uptake -- Chapter 11. Optimal Design of a Vaccination-Subsidy Policy -- Chapter 12. Flexible Modeling -- Postscript.
520 $a This book presents the fundamentals of evolutionary game theory and applies them to the analysis of epidemics, which is of paramount importance in the aftermath of the worldwide COVID-19 pandemic. The primary objective of this monograph is to deliver a powerful tool to model and analyze the spread of an infectious disease during a pandemic as well as the human decision dynamics. The book employs a variant of the "vaccination game," in which a mathematical epidemiological model dovetails with evolutionary game theory. From a social physics standpoint, this book introduces an extended concept of the vaccination game starting from the fundamental issues and touching on the newest practical applications. The book first outlines the fundamental basis of evolutionary game theory, in which a two-player and two-strategy game, the so-called 2 × 2 game, and a multi-player game are concisely introduced, and the important issue of how social dilemmas are quantified is highlighted. Subsequently, the book discusses various recent applications of the extended concept of the vaccination game so as to quantitatively evaluate provisions other than vaccination, including practical intermediate protective measures such as mask-wearing, efficiency of quarantine compared with that of isolation policies for suppressing epidemics, efficiency of preemptive versus late vaccination, and optimal subsidy policies for vaccination.
650 0 $a Epidemiology $x Mathematical models. $3 660489
650 0 $a Game theory. $3 532607
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650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Health Informatics. $3 892928
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856 4 0 $u https://doi.org/10.1007/978-981-33-6481-3
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