This review explores psychological barriers to the acceptance of expert guidance.
Specifically, the constructs of epistemic overconfidence, institutional distrust, anti-expert …

Recently, computer scientists have developed large language models (LLMs) by training
prediction models with large-scale language corpora and human reinforcements. The LLMs …

Factors influencing vaccine uptake in Black individuals remain insufficiently documented.
Understanding the role of COVID‐19 related stress, conspiracy theories, health literacy …

The research investigates the antecedents of immunisation intentions during the COVID‐19
pandemic, including information‐related factors (conspiracy beliefs, immunisation …

Measurement alignment adjusts factor loadings and intercepts across different groups to
achieve measurement invariance, which assumes the equal measurement model is …

This interdisciplinary study examines the cross-cultural differences between the perceived
legitimacy of antipandemic measures during the peak of the COVID-19 crisis in three Central …

In the present study, I developed and tested an R module to explore the best models within
the context of multilevel modeling in research in public health. The module that I developed …

The ability of governments and nations to handle crises and protect the lives of citizens is
heavily dependent on the public's trust in their governments and related social institutions …

Previous research has found a relationship between COVID-19 vaccine conspiracist beliefs,
social media use, and COVID-19 vaccine uptake. The current study aimed to expand on …

Vaccinations are one of the most important tools that science has provided against the
detrimental effects of diseases in general. Every day, scientists around the world continue to …