AI for Epidemic Prediction and Management: Safeguarding Public Health

Abstract

AI is playing a critical role in predicting and managing epidemics by analyzing real-time data from diverse sources such as social media, healthcare records, and environmental sensors. This paper explores AI applications in outbreak prediction, contact tracing, and resource allocation during health crises. Case studies include AI's role in managing COVID-19 and other infectious diseases. The study also discusses challenges such as data reliability, ethical considerations in surveillance, and equitable access to AI-driven solutions.