Epidemic Intelligence from Open Sources (EIOS): new system functionalities to support public health analysts in the detection and assessment of epidemics based on AI

A new set of functionalities was released yesterday for the Epidemic Intelligence from Open Sources (EIOS) IT system, developed in close collaboration between the World Health Organization (WHO) and the European Commission’s Joint Research Centre.

The EIOS system currently gathers more than 150.000 news articles per day on COVID-19 outbreaks as well as other potential public health threats from thousands of publicly available sources of information, allowing analysts from WHO and several other institutions around the globe to monitor the situation and identify new potential elements of risk based on Artificial Intelligence tools.

The system now features a new mapping functionality, enabling analysts to more easily investigate the evolution of outbreaks and related containment measures in specific geographical areas. In addition, the integrated INFORM risk index (also developed under the scientific lead of the JRC) is able to support the assessment of the public health risk by providing an insight of how vulnerable (and why) a certain country could be, if affected by an outbreak.

In order to continue providing support to the WHO under the current crisis situation, further developments to be implemented by the JRC are foreseen in the next future to facilitate further collaboration and information sharing.

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