Covid-19 a great threat and it’s a vital note among humans from 2019 December onwards. Even in 2022 its intensity is not becoming less. As vaccines were discovered and injected to human, it’s not possible to eradicate the disease fully from society. Lot of precautions were followed and imposed by government to follow in public and in work places. People are getting infected daily all over the world. Studying about the new kind of disease, to get treated efficiently, it is important to know about the major symptoms of all waves. By understanding the nature of covid-19, it is a vital thing to implement our technology to reduce the spread of disease effectively. Now it’s the time to connect our technology with the disease to help. Internet of Things is well suited now-a-days especially to covid to mitigate the spread of disease among society. Applying this concept, it would be possible to reduce the speed in spread, as well as can able to follow the protocols of covid-19 efficiently. In this research, covid-19 symptoms using various wearable sensors are deeply analyzed from existing literatures. Also, to provide better solution to data analysts for predicting the disease precisely, the proposed study provides deep insight about major symptoms taken from all kinds of waves for developing a novel machine learning model to take better decisions in healthcare as well as to protect humans early from this deadly disease from future upcoming variants.
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