Open-minded imitation can achieve near-optimal vaccination coverage

TL;DR

This paper demonstrates that incorporating a higher degree of open-mindedness in imitation dynamics can lead to vaccination coverage levels near the societal optimum, surpassing previous limitations of rational decision models.

Contribution

It introduces a generalized imitation model with an open-mindedness parameter, showing that high openness can achieve near-optimal vaccination coverage.

Findings

High open-mindedness parameter drives coverage close to societal optimum

Imitation with open-mindedness outperforms traditional models

Analytical and simulation results confirm the effectiveness

Abstract

Studies of voluntary vaccination decisions by rational individuals predict that the population will reach a Nash equilibrium with vaccination coverage below the societal optimum. Human decision-making involves mechanisms in addition to rational calculations of self-interest, such as imitation of successful others. Previous research had shown that imitation alone cannot achieve better results. Under realistic choices of the parameters it may lead to equilibrium vaccination coverage even below the Nash equilibrium. However, these findings rely on the widely accepted use of Fermi functions for modeling the probabilities of switching to another strategy. We consider here a more general functional form of the switching probabilities. It is consistent with functions that give best fits for empirical data in a widely cited psychological experiment and involves one additional parameter $\alpha$. This parameter can be loosely interpreted as a degree of open-mindedness. We found both by means of simulations and analytically that sufficiently high values of $\alpha$ will drive the equilibrium vaccination coverage arbitrarily close to the societal optimum.