TITLE:
Artificial Intelligence in Assisted Public Health Campaigns: Evaluating Its Effectiveness in Promoting Health Guidance and Vaccination during the Coronavirus Pandemic
AUTHORS:
Opoku Alexander, Oroszi Terry
KEYWORDS:
Artificial Intelligence, Public Health Campaigns, COVID-19, Vaccination, Health Guidance, Ethical AI, Machine Learning, Natural Language Processing
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.16 No.10,
October
9,
2026
ABSTRACT: The COVID-19 pandemic created an immediate necessity for new public health approaches to both health information dissemination and immunization promotion. Artificial intelligence (AI) is a transformative technology that delivers flexible, data-driven solutions for today’s most complex problems. Researchers have implemented AI technologies, including natural language processing (NLP), machine learning (ML), and big data analytics, to analyze public sentiment, forecast disease progression, and improve resource distribution. AI technology analyzes social media data about COVID-19 vaccinations to understand public vaccine hesitancy and develop specific intervention strategies. Chinese healthcare systems have utilized AI to manage the pandemic through applications in diagnosis, treatment strategies, and decision-making processes, which have improved overall healthcare service delivery. This comprehensive literature review analyzes earlier studies on AI applications in pandemic public health operations, focusing on health communication strategies and vaccination campaigns while addressing challenges such as disinformation and vaccine resistance. The review highlights how AI chatbots and analytics tools enhance public interaction and optimize resource use and vaccination rates. Real-world applications have shown significant impacts from AI-enabled solutions, including chatbots and predictive vaccine distribution models. Ethical problems alongside algorithmic bias and public skepticism continue to obstruct the broader implementation of AI solutions. Public health AI applications have social impacts, which include reducing health disparities and supporting sustainable development objectives, according to this study. To achieve transparency and accountability while maintaining equity in AI deployment requires establishing strong governance frameworks. AI holds significant potential to transform public health campaigns, yet faces technological, ethical, and societal hurdles that need resolution before it can achieve success. Research going forward must work on building AI systems that are explainable and assess their lasting effects on worldwide health outcomes. AI applications in public health education have enhanced both awareness and guideline adherence by tailoring health messages for better community involvement. Through their ability to assess both individual and population-level threats, AI-enabled prediction models have become essential tools that enable proactive measures. These accomplishments require strict governance frameworks due to ethical concerns that demand transparency, accountability, and equality.