The Evolutionary Vaccination Dilemma in Complex Networks

TL;DR

This paper investigates how the structure of complex networks influences voluntary vaccination behavior during disease spread, revealing that network topology affects vaccination and infection rates depending on vaccine efficacy.

Contribution

It introduces a combined model of disease spread and evolutionary vaccination decisions on complex networks, highlighting the impact of network topology and vaccine imperfection.

Findings

Scale-free networks promote vaccination when vaccines are perfect.

Imperfect vaccines cause a crossover effect, increasing infections in scale-free networks.

Network topology influences vaccination dynamics and disease prevalence.

Abstract

In this work we analyze the evolution of voluntary vaccination in networked populations by entangling the spreading dynamics of an influenza-like disease with an evolutionary framework taking place at the end of each influenza season so that individuals take or not the vaccine upon their previous experience. Our framework thus put in competition two well-known dynamical properties of scale-free networks: the fast propagation of diseases and the promotion of cooperative behaviors. Our results show that when vaccine is perfect scale-free networks enhance the vaccination behavior with respect to random graphs with homogeneous connectivity patterns. However, when imperfection appears we find a cross-over effect so that the number of infected (vaccinated) individuals increases (decreases) with respect to homogeneous networks, thus showing up the competition between the aforementioned properties of scale-free graphs.