AI Tool Developed by Johns Hopkins and Duke Predicts Infectious Disease Outbreaks More Accurately Than Current Methods

(Gene Online, Mark Chiang) — Researchers at Johns Hopkins and Duke universities have developed an artificial intelligence tool designed to improve the forecasting, tracking, and management of infectious disease outbreaks. The tool reportedly outperforms existing state-of-the-art methods in predicting the spread of illnesses such as influenza and COVID-19.

The AI system utilizes advanced algorithms to analyze complex datasets, including historical disease patterns, environmental factors, and population dynamics. By processing this information, the tool generates more accurate predictions about when and where outbreaks may occur. Researchers suggest that its enhanced forecasting capabilities could assist public health officials in implementing timely interventions to mitigate the impact of infectious diseases. The development marks a significant step forward in leveraging technology for epidemic preparedness and response efforts.

Read more on Johns Hopkins’ HUB: https://hub.jhu.edu/2025/06/06/artificial-intelligence-infectious-disease-forecasting/