Role of vaccine efficacy in the vaccination behavior under myopic update rule on complex networks

Abstract

a b s t r a c tHow to effectively prevent the diffusion of infectious disease has become an intriguing topic in the field of public hygienics. To be noted that, for the non-periodic infectious diseases, many people hope to obtain the vaccine of epidemics in time to be inoculated, rather than at the end of the epidemic. However, the vaccine may fail as a result of invalid storage, transportation and usage, and then vaccinated individuals may become re-susceptible and be infected again during the outbreak. To this end, we build a new framework that considers the imperfect vaccination during the one cycle of infectious disease within the spatially structured and heterogeneous population. Meanwhile, we propose a new vaccination update rule: myopic update rule, which is only based on one focal player's own perception regarding the disease outbreak, and one susceptible individual makes a decision to adopt the vaccine just by comparing the perceived payoffs vaccination with the perceived ones of being infected. Extensive Monte-Carlo simulations are performed to demonstrate the imperfect vaccination behavior under the myopic update rule in the spatially structured and heterogeneous population. The results indicate that healthy individuals are often willing to inoculate the vaccine under the myopic update rule, which can stop the infectious disease from being spread, in particular, it is found that the vaccine efficacy influences the fraction of vaccinated individuals much more than the relative cost of vaccination on the regular lattice, Meanwhile, vaccine efficacy is more sensitive on the heterogeneous scale-free network. Current results are helpful to further analyze and model the choice of vaccination strategy during the disease outbreaks.

High endemic levels of typhoid fever in rural areas of Ghana may stem from optimal voluntary vaccination behaviour

“…Following Fu et al [59], many recent studies such as Arefin et al [60,61], Huang et al [62], Iwamura & Tanimoto [63], Kabir & Tanimoto [64], and Kabir et al [65,66] used multi-agent-simulation methodology, thus allowing considerable flexibility and realism in the modelling approach, especially in prevention of seasonal influenza where individuals have to revaccinate every year. Furthermore, complex networks provide a platform to model real-world populations [67].…”

Impact of strategy conformity on vaccination behaviors

“…Therefore, a voluntary vaccination model based on game theory has been proposed to explore influences of immunization on the dynamical process in epidemics [13][14][15][16][17][18]. Huang et al [19] proposed a new vaccination update rule: a myopic update rule based on the Fermi function and a new vaccination game. In particular, the utility of risky perception is considered a term of the utility function.…”

Dynamical Analysis of a Mathematical Model of COVID-19 Spreading on Networks

“…This process needs a contact between them. It is found that the best pattern of contact is contact in the networks [6][7][8][9][10][11], and study epidemic model on networks has been a hot field in mathematical biology [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]35].…”