Titlebook: Sociophysics Approach to Epidemics; Jun Tanimoto Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Spr

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2198-4204 quently, 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 prote978-981-33-6483-7978-981-33-6481-3Series ISSN 2198-4204 Series E-ISSN 2198-4212

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2198-4204 me” by analytical and multi-agent simulation approaches.Pres.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

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Flexible Modeling,that such individual-action dynamics can be implemented into the epidemiological dynamics. This is because the framework of mathematical epidemiology is so flexible that external events other than the spread of a disease can be also built into the epidemiological dynamics.

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Evolutionary Game Theory: Fundamentals and Applications for Epidemiology,se, classical game theory primarily concerns game equilibrium, or game solutions, which can be understood as steady-state solutions or static solutions in the field of conventional science and engineering. Conversely, evolutionary game theory rather concerns the time-evolution of a system.

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Influenza Vaccine Uptake,nt of a complex situation, including a strategy aimed at free-riding on herd immunity. This scenario might create a social dilemma in choosing vaccine types at the individual level. Hence, this chapter prescribes a means of dealing with this problem based on the vaccination-game framework.

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Quarantine and Isolation,viduals, regardless of their intentions. These include quarantine and isolation. We show a theoretical framework based on the intervention-game concept and discuss how the introduction of quarantine and isolation impacts the final epidemic size (FES) and average social payoff (ASP).

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Book 2021e 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 ma

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Fundamentals of Mathematical Epidemiology and the Vaccination Game, game theory in order to describe how human behavior influences the dynamics of disease spread and how these dynamics affect behavior in turn. Fu and his colleagues (2011) introduced the “vaccination game” framework based on multi-agent simulation (MAS).