IoT based monitoring and tracing of COVID-19 contact persons

Abstract

The difficulty of identifying the COVID-19 cases before the symptoms of the disease appear is the major reason behind the increase in the number of infected people. The symptoms take from one day to fourteen days on average to appear; thus, an asymptomatic person can transmit the disease to several individuals before realizing that. The existing solution currently used in Oman is epidemiological investigation teams that collect information from infected people. Those teams aim to put people that had close physical contact with a sick person in quarantine. The success of this method depends on the infected individuals’ ability to remember people with whom they had contact within the last fourteen days before becoming symptomatic. Also, the infected person might be in a critical health situation. Therefore, this paper’s goal is to provide a small device that makes a list of people that had contact with an infected individual. When two individuals have this device and get close to each other (within two-meter or less), each device will automatically record the data of the other device (name, day, and time) for fourteen days and upload it to the IoT platform.