TraceMe: Real-Time Contact Tracing and Early Prevention of COVID-19 based on Online Social Networks
Yesin Sahraoui, Ludovica De Lucia, Anna Maria Vegni, Chaker Abdelaziz Kerrache, Marica Amadeo, Ahmed Korichi
Abstract
With the outbreak of COVID-19, and its terrible and fast spread among communities, contact tracing methods have become crucial to protect people. However, conventional mechanisms, for instance based on the manual search of close contacts, lack of high efficiency due to the high time consumption. The research community is therefore exploring new ways to track contagious diseases by exploiting modern communications paradigms and technologies. In this paper, we propose a new contact tracing method based on Online Social Network (OSN) platforms. In our design, contact detection occurs in real-time by means of traditional proximity approaches. Then, a likely future contact forecast is notified through OSN communities.