  The respiratory viral diseases, such as those caused by the family of
coronaviruses, can be extremely contagious and spread through saliva droplets
generated by coughing, sneezing, or breathing. In humans, the most common
symptoms of the infection include fever and difficulty in breathing. In order
to reduce the diffusion of the current "Coronavirus disease 2019 (COVID-19)"
pandemic, the Internet of Things (IoT) technologies can play an important role;
for instance, they can be effectively used for implementing a real-time patient
tracking and warning system at a city scale. Crucial places to install the
tracking IoT devices are the public/private vehicles that, augmented with
multiple connectivity solutions, can implement the Internet of Vehicles (IoV)
paradigm. In such a ubiquitous network environment, vehicles are equipped with
a variety of sensors, including regular cameras that can be replaced with
thermal cameras. Therefore, this paper proposes a new design for widely
detecting respiratory viral diseases that leverages IoV to collect real-time
body temperature and breathing rate measurements of pedestrians. This
information can be used to recognize geographic areas affected by possible
COVID-19 cases and to implement proactive preventive strategies that would
further limit the spread of the disease.
