Detecting coronavirus contact using internet of things

Purpose The purpose of this paper is to identify coronavirus contact using internet of things The disease is said to be highly contagious with the contact of infected persons Feared to be air-borne, droplets of body fluids can transmit the disease in a matter of hours The predominant symptoms of the COVID-19 are high fever, cough, breathing problem, etc Recent studies have demonstrated the evolution of the disease to hide its symptoms As it is highly transmissible, this disease might spread at an exponential rate costing the lives of thousands of people The chain of transmission has to be detected with utmost priority through early detection and isolation of infected people Automated internet of things (IoT) devices can be used in design and implementation of a prediction scheme for reporting the health-care risks of the patients with various parameters such as temperature, humidity and blood pressure Design/methodology/approach IoT is a configuration of multiple autonomous and embedded wireless devices for serving a purpose Every object possesses an individual identity and will serve to register critical events as entries for future learning and decisions IoT plays an inevitable role in medical industries, detection of vital signs of diseases and monitoring Among other life-threatening diseases, a new pandemic is on rise among world nations COVID-19, a novel severe acute respiratory syndrome virus originated from animals in December 2019 and is becoming a serious menace to Governments, despite serious measures of lockdowns Findings In this paper, the authors defined an architecture of an IoT system to predict the Covid-19 disease by getting the data from the human through sensors and send the data to the doctor using mobile, computer, etc The main goal is early health surveillance by predicting COVID-19 Accordingly, the authors are able to identify both symptomatic and asymptomatic patients, which will help in the early prediction of disease Originality/value Using the proposed method, the authors can save the time of both patient and doctor by ensuring timely medical treatment and contribute toward breaking the transmission chain In so doing, the method also contributes toward avoiding unnecessary expenses and saving human lives