MODELING COVID-19 VACCINE HESITANCY USING RESEARCH ON PROBABILISTIC THINKING.

Autor: Hyunkyoung Yoon, Mina Gong, Byerley, Cameron, Min Sook Park, Horne, Dru, Idrus, Ulfa Aulyah
Předmět:
Zdroj: Conference Papers -- Psychology of Mathematics & Education of North America; 2022, p849-858, 10p
Abstrakt: A number of factors contribute to vaccine hesitancy including citizens' determination of the risks and benefits of vaccination. In this study, we use interviews and surveys to understand how United States and South Korean citizens quantify the risks of COVID-19 infection and vaccination. Many citizens used benchmark values such as 0%, 50%, 100% to estimate their risks of COVID-19 infection and COVID-19 vaccination. Although neither infection nor vaccination has a 50% risk of severe outcome, the citizens' thinking is consistent with the outcome approach described by Konold (1989, 1991). In his work, a 50% risk often implied uncertainty about if an outcome would happen in a single trial. It is important to support citizens' understanding of risk because in our sample the citizens who thought COVID-19 vaccination was riskier than COVID-19 infection were often unvaccinated. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index