Professional Doctorate Thesis
The Role of Artificial Intelligence in Predicting and Preventing Public Health Crises
by Dr. Batool Hayek
Research Overview
This PhD thesis, “The Role of Artificial Intelligence in Predicting and Preventing Public Health Crises” by Batool Hayek, provides a comprehensive analysis of how Artificial Intelligence (AI) is transforming global public health systems—particularly in forecasting, managing, and mitigating health emergencies such as pandemics and epidemics. It combines theoretical foundations, real-world case studies, and practical recommendations to demonstrate AI’s growing importance in modern healthcare.
The study begins by identifying a critical gap in traditional healthcare systems: delayed detection of outbreaks, inefficient resource allocation, and fragmented data management. It argues that AI—through technologies like machine learning, deep learning, natural language processing (NLP), and data analytics—can process vast and complex datasets far more efficiently than conventional methods. These capabilities enable early detection of disease outbreaks, real-time monitoring, and predictive modeling of future health risks.
A central contribution of the thesis is its detailed exploration of AI tools and applications in public health. Platforms such as BlueDot and HealthMap are highlighted as key examples of AI-driven systems that analyze global data sources (e.g., airline travel, news reports, and social media) to detect early warning signals of outbreaks. The research shows how these tools played a critical role during crises like COVID-19, Ebola, and Zika by predicting spread patterns, tracking disease progression, and supporting rapid response strategies.
Beyond prediction, the thesis emphasizes AI’s role in prevention and response. AI supports vaccine development (e.g., accelerating COVID-19 mRNA vaccines), optimizes resource allocation (such as hospital beds and ventilators), and enhances policymaking through data-driven insights. These applications demonstrate how AI not only improves efficiency but also saves lives by enabling proactive interventions rather than reactive responses.
However, the research also critically addresses major challenges. These include data privacy risks, ethical concerns (such as algorithmic bias and lack of transparency), limited access to AI technologies in developing countries, and the dependence on high-quality data for accurate predictions. The thesis stresses that without proper governance, infrastructure, and global collaboration, the benefits of AI may remain unevenly distributed.
In conclusion, the study argues that AI represents a powerful and necessary tool for strengthening global health resilience. It recommends increased investment in AI infrastructure, stronger data governance frameworks, and international collaboration to ensure equitable access. Ultimately, the thesis positions AI not just as a technological innovation, but as a strategic pillar for future public health crisis management—capable of enabling faster, smarter, and more inclusive responses to global health threats.