Anxiety and fear of COVID-19 as potential mechanisms to explain vaccine hesitancy among adults.

Background: Vaccine hesitancy is a significant global problem resulting from the interaction of multiple factors, including mental health factors. However, the association of COVID-19 vaccine hesitancy with mental health has not been well-examined, especially in Arab culture. This study aims to identify the correlation between anxiety/fear of COVID-19 and vaccine hesitancy among Saudi adults. Methods: An online-based survey was administered to 558 participants from all regions of Saudi Arabia using the snowball technique. However, this sample may not be representative of the Saudi adult population. Participants responded to the Questionnaire of Vaccine Hesitancy, the COVID-19-Anxiety Questionnaire (C-19-A), and the Fear of COVID-19 Scale (FCV-19S). Data were analyzed on vaccine uptake, vaccine hesitancy, coronavirus infection, and demographic variables. The predictive factors of vaccine hesitancy were examined in one model using multiple regression analysis by the Enter method (P= 0.05). Results: COVID-19 anxiety and fear have significant correlations with vaccine hesitancy (Phi=0.33, P=0.017; Phi=0.29, P=0.013, respectively). Anxiety and fear were higher among unhesitating participants (t =2.469, P=0.014; t=2.025, P=0.043, respectively). Participants who had previously been infected with coronavirus were more likely to be hesitant (X2 = 23.126, P=0.000). Participants who scored high in anxiety were more likely to be vaccinated (F=3.979, P=0.019) and have a secondary school or college education (F=4.903 P=0.002). COVID-19 anxiety, gender, and coronavirus infection significantly predicted vaccine hesitancy. Conclusion: Anxiety and fear of COVID-19 are among the most important factors correlated with vaccine hesitancy; unhesitant people are more likely to have anxiety and fear. COVID-19 anxiety significantly predicted vaccine hesitancy. We recommend integrating psychological care into vaccination plans to help increase the uptake rate during potential subsequent pandemics. Relevant intervention programs can be designed to help increase vaccine acceptance, deal with vaccine hesitancy, and relieve psychological symptoms during major pandemics. Psychologists can provide awareness messages, counselling seminars, online mentoring, or telemental health outreach.

Artificial intelligence and social intelligence: preliminary comparison study between AI models and psychologists.

Background: Social intelligence (SI) is of great importance in the success of the counseling and psychotherapy, whether for the psychologist or for the artificial intelligence systems that help the psychologist, as it is the ability to understand the feelings, emotions, and needs of people during the counseling process. Therefore, this study aims to identify the Social Intelligence (SI) of artificial intelligence represented by its large linguistic models, "ChatGPT; Google Bard; and Bing" compared to psychologists. Methods: A stratified random manner sample of 180 students of counseling psychology from the bachelor's and doctoral stages at King Khalid University was selected, while the large linguistic models included ChatGPT-4, Google Bard, and Bing. They (the psychologists and the AI models) responded to the social intelligence scale. Results: There were significant differences in SI between psychologists and AI's ChatGPT-4 and Bing. ChatGPT-4 exceeded 100% of all the psychologists, and Bing outperformed 50% of PhD holders and 90% of bachelor's holders. The differences in SI between Google Bard and bachelor students were not significant, whereas the differences with PhDs were significant; Where 90% of PhD holders excel on Google Bird. Conclusion: We explored the possibility of using human measures on AI entities, especially language models, and the results indicate that the development of AI in understanding emotions and social behavior related to social intelligence is very rapid. AI will help the psychotherapist a great deal in new ways. The psychotherapist needs to be aware of possible areas of further development of AI given their benefits in counseling and psychotherapy. Studies using humanistic and non-humanistic criteria with large linguistic models are needed.

Risk perceptions of COVID-19 and its impact on precautionary behavior: A qualitative study.

OBJECTIVE: The controlling of the COVID-19 pandemic is influenced by the precautionary behavior of the community, and such behavior is frequently related to individuals' risk perception. The current study aimed to explore risk perceptions and precautionary behavior in response to COVID-19. METHOD: Qualitative in-depth interviews by telephone were undertaken with 26 participants from three affected cities in an initial stage of the disease outbreak, from May 3 to June 5, 2020. The method of analyzing data was inductive. The results were analyzed using interpretation, categorizing, and thematic analysis. RESULTS: The perception of risk is influenced by numerous individual, community, and cultural factors; these perceptions act as triggers for precautionary behavior, with a tendency to deny risks or react with exaggeration in terms of the precautionary reactions related to COVID-19. The thematic analysis produced two major categories: 1) risk perception and 2) precautionary behavior. The analysis provides essential insight into risk perception and precautionary behavior. CONCLUSION: The risk perceptions and patterns of precautionary behavior could be unreliable, unhealthy, and culturally affected, which would influence the effectiveness of pandemic control measures. Further investigations with more data and including risk perception and precautionary behavior in the national response plan for emergency and crisis are highly recommended. PRACTICE IMPLICATIONS: A greater understanding and ongoing assessment of COVID-19 risk perception could inform policymakers and health professionals who seek to promote precautionary behavior. This could also facilitate early interventions during pandemics.