The Impacts of Subsidy Policies on Vaccination Decisions in Contact Networks
Hai-Feng Zhang, Zhi-Xi Wu, Xiao-Ke Xu, Michael Small, Bing-Hong Wang

TL;DR
This paper models the effects of different subsidy policies on voluntary vaccination decisions within contact networks, demonstrating that partial cost-offset subsidies outperform free subsidies in increasing vaccination coverage and controlling epidemics.
Contribution
It introduces an evolutionary game theory model to compare free and partial-offset subsidy policies for vaccination, identifying the more effective approach for epidemic control.
Findings
Partial-offset subsidies lead to higher vaccination rates.
Free subsidies are less effective in promoting vaccination.
Model shows subsidy type significantly impacts epidemic control.
Abstract
Often, vaccination programs are carried out based on self-interest rather than being mandatory. Owing to the perceptions about risks associated with vaccines and the `herd immunity' effect, it may provide suboptimal vaccination coverage for the population as a whole. In this case, some subsidy policies may be offered by the government to promote vaccination coverage. But, not all subsidy policies are effective in controlling the transmission of infectious diseases. We address the question of which subsidy policy is best, and how to appropriately distribute the limited subsidies to maximize vaccine coverage. To answer these questions, we establish a model based on evolutionary game theory, where individuals try to maximize their personal payoffs when considering the voluntary vaccination mechanism. Our model shows that voluntary vaccination alone is insufficient to control an epidemic.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCOVID-19 epidemiological studies · Vaccine Coverage and Hesitancy · Mathematical and Theoretical Epidemiology and Ecology Models
