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Sociophysics approach to epidemics / Jun Tanimoto.

9813364815 (electronic book)
9789813364813 (electronic bk.)
9813364807
9789813364806

Singapore : Springer, [2021]

English

1 online resource

10.1007/978-981-33-6481-3 doi

RA652.2.M3

614.4015/118

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 "Bvaccination 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

Includes bibliographical references and index.

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Online resource; title from PDF title page (SpringerLink, viewed April 6, 2021).

Evolutionary economics and social complexity science ; v. 23.

Print version: 9789813364806

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