Cloud-Based AI Solutions for Public Health Surveillance and Crisis Management

Public health surveillance and crisis management are critical components of healthcare systems, particularly during pandemics and other health emergencies.This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) models, hosted on cloud platforms, can enhance public health surveillance by predicting disease outbreaks and managing healthcare resources more effectively.The research demonstrates how cloud-based AI and ML solutions can transform public health infrastructure, ensuring better preparedness and response during crises.The results are supported by experiments using real-world data, showcasing the accuracy and efficiency of these AI/ML models.The practical implications of these findings are significant, as they suggest that implementing cloud-based AI/ML models can lead to more responsive and efficient public health systems, ultimately saving lives and reducing the burden on healthcare resources.References to relevant literature are provided to support the findings.