Early coronavirus disease detection using internet of things smart system

Tabarak Ali Abdulhussein, Hamid A. Al-Falahi, Drai Ahmed Smait, Sameer Alani, Sarmad Nozad Mahmood, Mohammed Sulaiman Mustafa


The internet of things (IoT) is quickly evolving, allowing for the connecting of a wide range of smart devices in a variety of applications including industry, military, education, and health. Coronavirus has recently expanded fast across the world, and there are no particular therapies available at this moment. As a result, it is critical to avoid infection and watch signs like fever and shortness of breath. This research work proposes a smart and robust system that assists patients with influenza symptoms in determining whether or not they are infected with the coronavirus disease (COVID-19). In addition to the diagnostic capabilities of the system, the system aids these patients in obtaining medical care quickly by informing medical authorities via Blynk IoT. Moreover, the global positioning system (GPS) module is used to track patient mobility in order to locate contaminated regions and analyze suspected patient behaviors. Finally, this idea might be useful in medical institutions, quarantine units, airports, and other relevant fields.


Blynk platform; Coronavirus disease detection system; Internet of things based smart systems; Node microcontroller unit control systems; Smart monitoring system

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DOI: http://doi.org/10.11591/ijece.v13i1.pp1161-1168

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).