AI Applications in Public Health and Epidemiology

This workshop aims to train participants in the application of artificial intelligence in public health and epidemiology, focusing on disease surveillance, outbreak prediction, health data analytics, and population-level decision-making systems. Participants will gain conceptual and practical understanding of how AI is used to monitor disease spread, analyze epidemiological trends, support public health policy, and enable early outbreak detection using real-world datasets and accessible analytical tools.

Introduce fundamentals of artificial intelligence in public health Explain epidemiological data analysis and disease surveillance systems Demonstrate AI-based outbreak prediction and trend analysis concepts Train participants in population health data interpretation Explore applications in infectious and chronic disease monitoring Develop understanding of AI-driven public health decision systems

📅 Day 3: Precision Public Health & Future Applications AI-driven public health surveillance frameworks AI for precision public health and policy decision-making Case studies in pandemic monitoring and disease control Ethical considerations and challenges in healthcare AI Emerging trends in AI-powered epidemiology 🛠️ Hands-on Interpret real-world outbreak case studies using interactive public health dashboards Design a conceptual AI-based disease surveillance workflow Hands-on Tools: WHO Dashboard, CDC Data Tracker, Canva (Workflow Visualization)

Understand AI applications in public health systems Analyze epidemiological data and disease trends Interpret outbreak prediction models conceptually Apply AI thinking to population health challenges Evaluate public health datasets Design basic surveillance and monitoring frameworks

This program is designed for a diverse global audience, including undergraduate and postgraduate students in life sciences, public health, and biomedical sciences, as well as Ph.D. scholars, research fellows, faculty members, and academicians. It is equally relevant for epidemiologists, public health experts, clinical researchers, and healthcare professionals, along with data scientists working in healthcare and life sciences. Additionally, professionals from the biotechnology and pharmaceutical industries, as well as policy researchers and experts in health informatics, will benefit from the workshop.