Abstract
We propose a multi-round competitive influence maximization model for overcoming vaccination reluctance.
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Notes
- 1.
Living in a rural area, or being female, are negatively correlated with willingness to be vaccinated, whereas having a higher income and/or more education, are positively correlated, and age is only weakly correlated [6].
- 2.
The COVID-19 vaccination campaign has specific challenges: staggered vaccine deliveries, “vaccine shoppers” (or “vaccine sommeliers” in Brazil [7]) who are picky about which vaccine they take and additional trust issues [3], mixed messages from government agencies over “preferred” vaccines [2], and, of course, the fact that some vaccines require two doses, meaning some of the nudging may need to be repeated. We therefore consider the delivery of each dose as a different vaccination campaign for the sake of this work
- 3.
The objective function is intricate to establish, as there are material costs (supply, infrastructures, workers) as well as less tangible costs (e.g., morbidity and co-morbidity, public support, even political costs). We leave the specifics of such a function to future work since we are concerned here with a specific subproblem: engaging people and nudging them towards participation.
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Foley, A.M., Grégoire, JC. (2021). Fighting Reluctance: Engagement, Participation, and Trust. In: Tserpes, K., et al. Economics of Grids, Clouds, Systems, and Services. GECON 2021. Lecture Notes in Computer Science(), vol 13072. Springer, Cham. https://doi.org/10.1007/978-3-030-92916-9_16
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