  The world is under an ongoing pandemic, COVID-19, of a scale last seen a
century ago. Contact tracing is one of the most critical and highly effective
tools for containing and breaking the chain of infections especially in the
case of infectious respiratory diseases like COVID-19. Thanks to the
technological progress in our times, we now have digital mobile applications
like the Corona-Warn-App for digital contact tracing. However, due to the
invasive nature of contact tracing, it is very important to preserve the
privacy of the users. Privacy preservation is important for increasing trust in
the app and subsequently enabling its widespread usage in a privacy-valuing
population. In this paper, we present a visual simulation of the working of the
Corona-Warn-App to demonstrate how the privacy of its users is preserved, how
they're notified of infectious contacts and how it helps in containing the
spread of COVID-19.
