Paper
7 September 2023 Research on free-riders of vaccine by game-theoretic framework
Jingyuan Zhang
Author Affiliations +
Proceedings Volume 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023); 127893C (2023) https://doi.org/10.1117/12.3000293
Event: International Conference on Modern Medicine and Global Health (ICMMGH 2023), 2023, Oxford, United Kingdom
Abstract
With the COVID-19 pandemic, various countries and regions have introduced different preventive measures, with vaccination becoming one of the most effective ways to ward off COVID-19. Therefore, this paper looks at the response to the COVID-19 pandemic and analyzes individual decision-making when complying or failing to comply with vaccination and social distancing. First, free-riders are addressed as a more precise object of study in individual decision making, those who do not comply while enjoying the protection of her immunity. Such decisions are then analyzed in this paper within a game-theoretic framework with public goods. Subsequently the techniques discussed by various authors for limiting free ridership is analyzed. This goal can be achieved in several ways (through negative and positive reinforcement and appeals to altruism). Negative reinforcement forces free riders to consider the societal cost of their noncompliance with mandates. Positive reinforcement seeks to decrease the benefit free riders enjoy from non-compliance. Lastly, altruism, the personal choice to go along with the collective for the greater good, can effectively increase compliance. Overall, this essay argues that a combination of the above methods could theoretically yield a Nash equilibrium where the vast majority of the population complies to government-mandated vaccination and social distancing.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jingyuan Zhang "Research on free-riders of vaccine by game-theoretic framework", Proc. SPIE 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023), 127893C (7 September 2023); https://doi.org/10.1117/12.3000293
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KEYWORDS
COVID 19

Compliance

Safety

Decision making

Diseases and disorders

Modeling

Mental disorders

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