Help from artificial intelligence
In future, the WHO Hub is to serve as the command centre for tackling pandemics. At the same time, it is to help identify threats and dangerous new pathogens at the earliest possible stage. To achieve this, what is needed above all are competencies in handling the enormous quantities of data that are generated around the world. The first projects launched at the Hub are geared precisely to building this capacity.
One example is Epidemic Intelligence from Open Sources (EIOS), one of the projects at the new Hub that has made the furthest progress so far. EIOS is essentially a kind of autonomous monitoring system that can be accessed and added to by staff of the WHO and at health and research organisations worldwide. At the heart of EIOS is a computer programme that automatically collects, sorts and classifies information from publicly accessible online sources about health, public health and epidemiology. Day and night, the programme collects several thousand articles per hour; whenever it detects potential threats, it notifies the WHO Hub in Berlin accordingly.
Another project is the Pandemic and Epidemic Intelligence Collaboratory, an interactive digital environment in which scientists can meet and collaborate with a view to sharing ideas, advancing their research and coordinating responses to developments that pose a potential risk to health.