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IoT based Healthcare Monitoring for COVID- Subvariant JN-1

Kazi Kutubuddin Sayyad Liyakat

Abstract


COVID-19 The pandemic has brought attention to how crucial healthcare surveillance is to be controlling and halting the spread of infectious diseases. The introduction of novel variations such as the JN 1 subvariant, there is an urgent need for advanced and efficient monitoring systems to keep track of the virus and its impact on individuals and communities. This is where the Internet of Things (IoT) comes into play, offering a powerful and innovative solution for healthcare monitoring in the face of the pandemic. In the case of the JN 1 subvariant, which is believed to be more transmissible than the original COVID-19 virus, early detection and isolation are crucial in containing its spread.
IoT-based healthcare monitoring can play a significant role in this regard by providing real-time data on the spread of the virus. With the help of location tracking and contact tracing, IoT can identify
potential hotspots and help authorities take necessary measures to prevent further spread.


Keywords


COVID, JN1, IoT, Blynk Application,

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