Trust in science, knowledge and risk perception as predictors of COVID-19 vaccination: application of an extended Theory of Planned Behavior model in Hungary
Key Points
Vaccination rates are significantly influenced by trust in science and knowledge about COVID-19, emphasizing their importance as predictors.
Key metrics show that higher levels of trust and knowledge lead to increased intentions to get vaccinated against COVID-19.
Analysis focused on the application of an extended Theory of Planned Behavior model in predicting vaccination uptake.
These findings support the idea that improving public trust and awareness could enhance vaccination rates during health crises.
Trust in science, knowledge and risk perception as predictors of COVID-19 vaccination: application of an extended Theory of Planned Behavior model in Hungary | Synapse