Employment of IOT Architecture and Genetic Algorithm for Early Diagnosis of Corona Virus Disease (COVID-19)

Abstract

Coronavirus disease (COVID-19) has affected millions of people and thousands have died around the world. Early diagnosis of COVID 19 helps to reduce the spread of COVID-19 which could save many lives. One of the early symptoms of COVID-19 is a high temperature. In poor countries, temperature measurement devices are not available everywhere in the county due to the high cost. Therefore, in this paper, we present a low-cost system to measure the temperature. Our system is designed based on IOT architecture which is represented by Arduino UNO with a DS18B20 temperature sensor. The collected data has been analyzed utilizing a genetic algorithm where it has the ability to analyze and sort huge amounts of data. All the results collected by the Genetic algorithm are stored in the NoSQL database, which is characterized by the high data security and the ability to deal with the big data. We have tested our system with 300 people where 30 suspected persons out of 300 detected with high temperature. The 30 suspected persons have tested positive when they checked with the hospital. Our system is not expensive and easy to manufacturing in labs. At the same time, our system has shown accurate results.