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Coevolution of vaccination behavior and perceived vaccination risk can lead to a stag-hunt-like game.
Liu, Yuan; Wu, Bin.
  • Liu Y; School of Sciences, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Wu B; School of Sciences, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Phys Rev E ; 106(3-1): 034308, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: covidwho-2097547
ABSTRACT
Voluntary vaccination is effective to prevent infectious diseases from spreading. Both vaccination behavior and cognition of the vaccination risk play important roles in individual vaccination decision making. However, it is not clear how the coevolution of the two shapes population-wide vaccination behavior. We establish a coupled dynamics of epidemic, vaccination behavior, and perceived vaccination risk with three different time scales. We assume that the increase of vaccination level inhibits the rise of perceived vaccination risk, and the increase of perceived vaccination risk inhibits the rise of vaccination level. It is shown that the resulting vaccination behavior is similar to the stag-hunt game, provided that the basic reproductive ratio is moderate and that the epidemic dynamics evolves sufficiently fast. This is in contrast with the previous view that vaccination is a snowdriftlike game. And we find that epidemic breaks out repeatedly and eventually leads to vaccine scares if these three dynamics evolve on a similar time scale. Furthermore, we propose some ways to promote vaccination behavior, such as controlling side-effect bias and perceived vaccination costs. Our work sheds light on epidemic control via vaccination by taking into account the coevolutionary dynamics of cognition and behavior.

Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Tipo de estudo: Estudo prognóstico Tópicos: Vacinas Idioma: Inglês Revista: Phys Rev E Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: PhysRevE.106.034308

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Tipo de estudo: Estudo prognóstico Tópicos: Vacinas Idioma: Inglês Revista: Phys Rev E Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: PhysRevE.106.034308