Summary of Research Findings:

• This presentation covered 13 papers on large language models in Public Health and Disease Surveillance
• Research shows significant progress in applying LLMs to this domain
• Key challenges include data quality, model size, and domain adaptation
• Future work will likely focus on improved efficiency and specialized applications