  Nowadays, the coronavirus pandemic has and is still causing large numbers of
deaths and infected people. Although governments all over the world have taken
severe measurements to slow down the virus spreading (e.g., travel
restrictions, suspending all sportive, social, and economic activities,
quarantines, social distancing, etc.), a lot of persons have died and a lot
more are still in danger. Indeed, a recently conducted study~\cite{ref2} has
reported that 79\% of the confirmed infections in China were caused by
undocumented patients who had no symptoms. In the same context, in numerous
other countries, since coronavirus takes several days before the emergence of
symptoms, it has also been reported that the known number of infections is not
representative of the real number of infected people (the actual number is
expected to be much higher). That is to say, asymptomatic patients are the main
factor behind the large quick spreading of coronavirus and are also the major
reason that caused governments to lose control over this critical situation. To
contribute to remedying this global pandemic, in this paper, we propose an IoT
(Internet of Things) investigation system that was specifically designed to
spot both undocumented patients and infectious places. The goal is to help the
authorities to disinfect high-contamination sites and confine persons even if
they have no apparent symptoms. The proposed system also allows determining all
persons who had close contact with infected or suspected patients.
Consequently, rapid isolation of suspicious cases and more efficient control
over any pandemic propagation can be achieved.
