Digital health technologies have revolutionized how data is collected, analyzed, and used for public health action. This session explores the role of AI, machine learning, big data analytics, digital epidemiology, and real-time dashboards in enhancing disease surveillance and early warning systems. Participants will learn how mobile applications, electronic health records, and digital reporting tools provide rapid insights during disease outbreaks.
The session will also discuss the ethical considerations, privacy challenges, and governance structures required for responsible use of AI in public health. Examples from global digital surveillance platforms—such as FluTracking, HealthMap, and COVID-19 dashboards—will illustrate how timely data helps governments and healthcare institutions respond effectively.
This topic is critical because decision-making in public health must be fast, evidence-based, and data-driven. The world has seen the value of digital tools during the COVID-19 pandemic, and their potential continues to grow. The session is highlighted at this conference because digital innovation is essential for strengthening global preparedness and ensuring timely responses to public health threats.