Can Artificial Intelligence Predict The Next Pandemic? Inside The Digital Maps Tracking Viral Threats
Publish Date: 2026-07-10 00:28:00
Source Domain: www.ndtv.com
- The world is preparing for another global health crisis by shifting to proactive forecasting to preemptively identify potential pandemics using advanced technology.
- AI systems collect data from various data points (e.g., natural language processing, digital search patterns, mobility data, and environmental metrics) to identify early warning signs of health concerns.
- These AI models predict the spread of diseases by integrating real-time global epidemiology data via platforms such as the Coalition for Epidemic Preparedness Innovations (CEPI), BlueDot, and Boston Children’s Hospital’s HealthMap.
- Predictive AI’s effectiveness hinges on the quality of input data, which poses challenges due to inconsistent data-sharing policies, fragmented health records, and delays in reporting.
- AI is streamlining vaccine and treatment readiness by simulating biological interactions and expediting mRNA vaccine design processes, thus significantly shortening traditional development timelines.
