The system will work through a mobile app for the citizens, while the Healthcare Operators will work on it through a platform to manage tests and confirm positive and negative cases. The Government will instead use a dashboard relying on big data analysis to check the status of the spread, to make simulations and to set the rules for testing citizens.

To improve the accuracy, we considered also indirect infection (e.g.through contaminated surface). Public places and transportations could be equipped with radio beacons (i.e. BLE beacons). The algorithm will take into account interactions between users and potentially infected places, to better calculate the risk indexes. For example, hopping on a bus 2 minutes after someone infected left, would increase one’s risk index even if the two didn’t actually meet.

We believe the challenge will be to let people have a normal life -the one we used to know- while the virus is still between us. We can succeed if we’ll master data (of people’s connections) and apply promptly checks and mitigations without spoiling resources.

Lockdowns are the last resort and they don’t make us better compared to who was dealing with epidemics during the Medieval.