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.
Collaboration network of the authors
19 authors ·
47 co-authorship links
· 15 across different organisations
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Universiti Teknikal Malaysia Melaka
Tun Hussein Onn University of Malaysia
Imam Ja’afar Al-Sadiq University
Mashreq University
Universiti of Malaysia Sabah
Universiti Tenaga Nasional
National University of Malaysia
Other organisations
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Different organisations
Same organisation
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Thicker line = more joint articles · bigger circle = more articles
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