Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory
Vizanko, B., Kadinski, L., Cummings, C., Ostfeld, A., & Berglund, E. Z. (2024, March 14). RISK ANALYSIS.
author keywords: Bayesian belief network; COVID-19; prevention behaviors; protection motivation theory
TL;DR:
Results demonstrate that trust and experience with COVID-19 were important predictors for prevention measure adoption, and models that were developed using the PMT confirm relationships between coping appraisal, threat appraisal, and protective behaviors.
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UN Sustainable Development Goal Categories
3. Good Health and Well-being
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