In recent years, pandemic prediction using generative artificial intelligence has become a novel and significant area in public health research. This chapter examines the role and importance of pandemic prediction and management in improving health outcomes and enhancing the quality of healthcare. Specifically, it discusses the transformative role of generative AI in this field. Generative AI, through the use of complex models and advanced algorithms, analyzes and simulates epidemiological trends, predicts the occurrence of pandemics, and aids in improving the management of health crises. Additionally, various models and methods of patient interaction are introduced, with a focus on the impact of generative AI on these models. This technology is widely used in predicting disease outbreaks, simulating epidemic scenarios, and designing preventive strategies. However, implementing and utilizing generative AI in pandemic prediction faces challenges that affect the accuracy and efficiency of the models. The existing challenges in implementing generative AI in pandemic management and prediction, including ethical issues, data privacy concerns, and the need for stronger and more transparent AI models, are highlighted. Finally, after reviewing previous research, areas needing further investigation are identified, and suggestions for future research are provided. The results of this study can contribute to enhancing prediction accuracy and improving responses to health crises.