Last update:
22-Nov-2025

Vaccination hesitancy is characterized by the reluctance or refusal to receive vaccines despite their availability, and it raises significant concerns in various parts of the world. Today, it is estimated that globally, 20% of children still do not receive life-saving routine vaccinations and, according to the World Health Organization (WHO), approximately 1.5 million children die each year from diseases that could be prevented by existing vaccines. Online groups expressing skepticism about vaccines on social media often have a negative impact on society. Numerous studies from the early last decade to the present show that a significant portion of the content of vaccine-related posts on popular social networking sites consists of anti-vaccination messages. Today, artificial intelligence (AI) has the potential to emerge as an important tool in addressing all the challenges in the broader health sector, including public health issues such as vaccine hesitancy. Interest has shifted to whether AI can play a role in enhancing public trust in vaccines and minimizing hesitancy. The development by public health entities, both national and international, of digital models for an early recognition of hesitancy during a vaccination campaign is now part of future planning for the scientific community. It is true that AI is still in its early stages, but the pilot models that have been implemented already provide a note of optimism that in the future, public health policymakers will be able to timely recognize the first signs of hesitancy emerging in the community, especially when it pertains to new and innovative vaccines in vaccination program recommendations.

Key words: Artificial intelligence, Vaccination, Vaccine hesitancy.