Harnessing Digital Intelligence, Real-Time Analytics & Global Data Networks
Disease surveillance has entered a new era. Traditional reporting methods are no longer fast enough to detect outbreaks before they spread. The new frontier lies in digital epidemiology—AI-driven pattern recognition, genomic surveillance, wastewater monitoring, climate-linked predictive models, and citizen-generated data from mobile health tools.
This session examines how next-generation surveillance can detect early signals of infectious disease threats, including zoonotic spillovers, antimicrobial resistance patterns, travel-related outbreaks, and climate-sensitive diseases. We explore case studies from Taiwan, Singapore, Europe, Africa, and the Americas to demonstrate the transformative impact of integrated early warning systems.
The world needs this now more than ever. The frequency of outbreaks is increasing due to urbanisation, global mobility, ecosystem disruption, and climate change. Timely detection is the difference between containment and catastrophe.
Why ICPEI 2026 is highlighting this topic:
Taiwan is a global leader in digital public health, biosurveillance, and rapid-response outbreak management. Bringing global experts together here allows participants to learn practical, scalable, and cost-effective models for implementation in their own countries. This session will shape the future of epidemic intelligence and preparedness.