Sociophysics Approach to Epidemics / by Jun Tanimoto
(Evolutionary Economics and Social Complexity Science. ISSN:21984212 ; 23)
| Publisher | (Singapore : Springer Nature Singapore : Imprint: Springer) |
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| Year | 2021 |
| Edition | 1st ed. 2021. |
| Authors | *Tanimoto, Jun author SpringerLink (Online service) |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00186330 | Springer Economics and Finance eBooks (電子ブック) | 9789813364813 |
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| Material Type | E-Book |
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| Media type | 機械可読データファイル |
| Size | XVI, 289 p. 149 illus., 136 illus. in color : online resource |
| Notes | 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 HTTP:URL=https://doi.org/10.1007/978-981-33-6481-3 |
| Subjects | LCSH:Social choice LCSH:Welfare economics LCSH:Game theory LCSH:Computer simulation LCSH:Medical informatics LCSH:Demography LCSH:Population FREE:Social Choice and Welfare FREE:Game Theory FREE:Computer Modelling FREE:Health Informatics FREE:Population and Demography |
| Classification | LCC:HB846.8 LCC:HB99.3 DC23:330.1556 DC23:302.13 |
| ID | 8000074011 |
| ISBN | 9789813364813 |
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