Preferential imitation of vaccinating behavior can invalidate the targeted subsidy on complex network
Hai-Feng Zhang, Pan-Pan Shu, Ming Tang, Michael Small

TL;DR
This paper investigates how targeted vaccination subsidies on complex networks can be undermined by individual imitation behaviors, revealing that targeted strategies may sometimes worsen epidemic outcomes and identifying optimal subsidy levels for minimal social cost.
Contribution
It introduces a model analyzing the interaction between subsidy policies and individual imitation responses, highlighting conditions where targeted subsidies are ineffective or counterproductive.
Findings
Targeted subsidies are only effective when individuals imitate subsidized individuals.
Increasing subsidized individuals can increase epidemic size under targeted policies.
Optimal intermediate subsidy levels minimize social costs.
Abstract
We consider the effect of inducement to vaccinate during the spread of an infectious disease on complex networks. Suppose that public resources are finite and that only a small proportion of individuals can be vaccinated freely (complete subsidy), for the remainder of the population vaccination is a voluntary behavior --- and each vaccinated individual carries a perceived cost. We ask whether the classical targeted subsidy strategy is definitely better than the random strategy: does targeting subsidy at individuals perceived to be with the greatest risk actually help? With these questions, we propose a model to investigate the \emph{interaction effects} of the subsidy policies and individuals responses when facing subsidy policies on the epidemic dynamics on complex networks. In the model, a small proportion of individuals are freely vaccinated according to either the targeted or random…
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Taxonomy
TopicsCOVID-19 epidemiological studies · Complex Network Analysis Techniques · Evolutionary Game Theory and Cooperation
