TY - JOUR

T1 - Remote sensing to control respiratory viral diseases outbreaks using Internet of Vehicles

AU - Sahraoui, Yesin

AU - Korichi, Ahmed

AU - Kerrache, Chaker Abdelaziz

AU - Bilal, Muhammad

AU - Amadeo, Marica

PY - 2022/10/31

Y1 - 2022/10/31

N2 - 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 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 paradigm. In such ubiquitous network environment, vehicles are equipped with a variety of sensors, including regular cameras that can be replaced with thermal cameras. Therefore, this article 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.

AB - 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 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 paradigm. In such ubiquitous network environment, vehicles are equipped with a variety of sensors, including regular cameras that can be replaced with thermal cameras. Therefore, this article 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.

U2 - 10.1002/ett.4118

DO - 10.1002/ett.4118

M3 - Journal article

AN - SCOPUS:85090449332

VL - 33

JO - Transactions on Emerging Telecommunications Technologies

JF - Transactions on Emerging Telecommunications Technologies

SN - 2161-3915

IS - 10

M1 - e4118

ER -