English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The world is under an ongoing pandemic, COVID-19, of a scale last seen acentury ago. Contact tracing is one of the most critical and highly effectivetools for containing and breaking the chain of infections especially in thecase of infectious respiratory diseases like COVID-19. Thanks to thetechnological progress in our times, we now have digital mobile applicationslike the Corona-Warn-App for digital contact tracing. However, due to theinvasive nature of contact tracing, it is very important to preserve theprivacy of the users. Privacy preservation is important for increasing trust inthe app and subsequently enabling its widespread usage in a privacy-valuingpopulation. In this paper, we present a visual simulation of the working of theCorona-Warn-App to demonstrate how the privacy of its users is preserved, howthey're notified of infectious contacts and how it helps in containing thespread of COVID-19.

Simulating and visualizing COVID-19 contact tracing with Corona-Warn-App for increased understanding of its privacy-preserving design