Contact tracing data - COVID-19

COVID-19 has changed our lives. Contact tracing “… is the process of identification of persons who may have come into contact with an infected person (“contacts”) and subsequent collection of further information about these contacts”. It also includes taking action to inform them of the possibility of being infected, so they can take appropriate measures, such as self-isolation.

There are different technologies for contact tracing. There is the old-fashioned way of doing human-to-human interviews with an infected person. And then there are emerging IT solutions, leveraging mobile phones to do the tracing. In essence - if two phones were close together for some time period, and owner of one of the phones gets sick, the other phone’s owner can be notified.

But, there are different ways how this general idea can be implemented in practice - the data should not be misused. Let us use this forum to discuss how it should be done, using Fair Data Society principles and the tech at our disposal.

This cartoon gives a nice overview of how privacy preserving contact tracing should look like.

Please share your opinions and comments on the following implementations/proposals:

I think we have a quite good understanding and the tools to safely store the data generated by a Covid tracking app. We can use ZKProofs, or even just use default encryption to store the tracking data safely on the user’s device until the user decides to share a portion of the data to inform others of ones geo data.
The bigger problem or issue with these tracker apps is they generate falls positives all the time. Bluetooth (even BTLE) is not suited to do this kind of tracking. So we don’t have the data to store in the first place.
For more info on this, I found following this github repo a valuable resource: https://github.com/DP-3T/documents