Pestow Radomir
Mathematical Institute, Faculty of Mathematics & Natural Sciences, University of Koblenz, Koblenz, Germany.
Front Epidemiol. 2024 Dec 4;4:1418336. doi: 10.3389/fepid.2024.1418336. eCollection 2024.
We investigate the relationship between bias, that is, cognitive distortions about the severity of infectious disease and social well-being.
First, we establish empirically the existence of bias and analyze some of its causes; specifically, during the COVID-19 pandemic. Second, we derive an integrated economic-epidemiological differential equation model from an agent-based model that combines myopic rational choice with infectious disease dynamics. Third, we characterize axiomatically a model of an ethical, impartial, eudaemonistic and individualist observer. We prove that such an observer evaluates the state of society (social welfare or social well-being) according to the utilitarian principle.
We show numerically that while increased risk-perception indeed improves epidemiological outcomes such as peak of infections and total incidence, the impact on social well-being is ambiguous.
This result urges to look beyond cases and deaths. We also discuss problematic aspects of the simplified utilitarian principle.
Finally, we point out three possible future research directions and highlight some critical issues that arise in the normative direction.
我们研究偏差(即对传染病严重程度的认知扭曲)与社会福祉之间的关系。
首先,我们通过实证确定偏差的存在并分析其一些原因;具体而言,是在新冠疫情期间。其次,我们从一个基于主体的模型推导出一个综合经济 - 流行病学微分方程模型,该模型将短视理性选择与传染病动态相结合。第三,我们公理化地表征一个道德、公正、幸福主义和个人主义观察者的模型。我们证明这样一个观察者根据功利主义原则评估社会状态(社会福利或社会福祉)。
我们通过数值模拟表明,虽然风险认知的提高确实改善了诸如感染峰值和总发病率等流行病学结果,但对社会福祉的影响是模糊的。
这一结果促使我们超越病例和死亡情况去看待问题。我们还讨论了简化功利主义原则存在问题的方面。
最后,我们指出未来三个可能的研究方向,并强调在规范方向上出现的一些关键问题。