Sociophysics approach to epidemics [electronic resource]

• 作者： Tanimoto, Jun.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Evolutionary economics and social complexity science ;
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： Evolutionary economics and social complexity science,v.23
• 主題： Epidemiology--Mathematical models. , Game theory. , Social Choice/Welfare Economics/Public Choice/Political Economy. , Game Theory, Economics, Social and Behav. Sciences. , Simulation and Modeling. , Health Informatics. , Demography.
• ISBN： 9789813364813 (electronic bk.) 、 9789813364806 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
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• 摘要註: 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.
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