All Faq

How can multi-level multi-national contact tracking can be achieved?

 

When everyone send his/her anonymous contact list to the national trust center server, the mesh of contacts is updated.

Every time, when you check your status, your UUID is checked wether it is on any contact list of infected persons. But not only on them, it will be also checked of any of your contacts is on a contact list of an infected person. And so on up to 4 levels.

If in this crawling process a contact of another country is listed, the where-used search request will be forwarded to this countries trust center.

At the end, you will receive a filtered chain list, leading multi-level to UUIDs of infected people, even of other nations.

But you will never know, which person is which contact UUID. Because the server also doesn't know.

How can an app save lives?

Just an app on mobile devices won't be able to make a change.

But when multiple apps communicate with a trusted server sharing their contact informations, they can help to inform probably infected persons even if they haven't experienced any symptoms yet.

By knowing your personal risk score, you can take countermeasures as early as possible. Distancing yourself from your loved ones even before you show any signs oft he virus will help keep them safe from catching it.

Due to the network of contact chains, the server can provide warnings to the users on request.

But to facilitate this, such servers need to exist and they have to be interconnected, and of course - even more important is that everyone uses those apps.

Therefore we appeal to you, to participate in this initiative. Together we can make it happen.

How is my privacy guaranteed?

Your mobile device should just share your devices UUID, which was created when a XIAnet app is installed. The apps communicate via bluetooth to other smartphones in a short range, exchanging UUIDs. Those are stored in a secure store on your device. When sending the contact list to a trust center server, only the UUIDs will be transmitted.

The server does never know, to whom the UUIDs belong. However it holds the contact chains, which are available for virus spread research and analytics.

Due to that procedure the data collection process complies to the strong Requirements of the European GDPR  and even the German DSGVO.

How can I know if I’m infected when I have no symptoms?

As long as you don't show any symptoms only an infection test can give you a proof result.

But you will not be able to receive a daily infection test. Also the time to receive the test result might be too long to prevent further spread. So you might wish to look for a solution that gives you an estimate of a possible infection - independent from your personal health status and test results.

The problem with the new SARS-CoV-2 virus is, that it has a quite long incubation time - that's the time between an infection and your first symptoms. And even before you feel any symptoms you already spread the disease to your loved ones.

The solution which is described here is based on apps which people have on their smartphones. Such an app creates a so-called UUID (universal unique ID) when it's installed and opened the first time. This ID is not known by anyone and cannot be connected to you personally. No one will know based on your ID who you are, where you are (and have been) and who your friends and contacts are.

The app will share that UUID with other people's apps which are in a small distance less than about 7 feet. So while you're moving around, a contact list on anonymous UUIDs will be collected on your device.

When someone is infected, this person sends his status including his contact list to a server (we call it "national trust center").

You may check your infection risk daily by sending your UUID and your contact list to a server.  Now the sever is able to follow the contact chains of infected people and presents you a result in form of a "infection risk score" and also the contact chain(s) themself.

The calculation of the risk score is calculated by a mathematical model based on key facts about the disease, the contact times and durations of the UUIDs in the chains.

By doing so, the solution can save time to react. Time for your life and for the lives of your loved ones.