{"title":"The impact of cognitive bias about infectious diseases on social well-being.","authors":"Radomir Pestow","doi":"10.3389/fepid.2024.1418336","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>We investigate the relationship between bias, that is, cognitive distortions about the severity of infectious disease and social well-being.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Discussion: </strong>This result urges to look beyond cases and deaths. We also discuss problematic aspects of the simplified utilitarian principle.</p><p><strong>Conclusion: </strong>Finally, we point out three possible future research directions and highlight some critical issues that arise in the normative direction.</p>","PeriodicalId":73083,"journal":{"name":"Frontiers in epidemiology","volume":"4 ","pages":"1418336"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11652146/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fepid.2024.1418336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: We investigate the relationship between bias, that is, cognitive distortions about the severity of infectious disease and social well-being.
Materials and methods: 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.
Results: 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.
Discussion: This result urges to look beyond cases and deaths. We also discuss problematic aspects of the simplified utilitarian principle.
Conclusion: Finally, we point out three possible future research directions and highlight some critical issues that arise in the normative direction.