ABSTRACT
COVID-19 has been a major global challenge these days. The pandemic has changed human life, attitude, and behavior. This pandemic added a burden to people's life and health. With the new variants of SARS-CoV-2, a lot of people are even scared of going to the health centers to get the COVID-19 evaluation in fear of contamination and contagious, which caused the surge in the symptoms at later stages. Data collected across various sources can play an important role in predicting and identifying of COVID-19 virus based on the models and the classifications of this data using the most sophisticated machine learning models. The concern here is accessing or transferring an individual's data from their personal health devices which defers users' privacy. In the recent past, there are a lot of research that has been done these days on how blockchain can help to securely track and transfer the data across trusted sources. Adding to this, federated learning also is helping on-device data usage without any critical data to be transferred to various external sources. The proposed study directs the stability of frequent health status with the help of wearable devices that capture health metrics like heart rate, blood oxygen levels, breathing rate, muscle activities, stress, emotions, movement patterns, sleep activity, precipitation, and mind/cognitive functions with the introduction of the data streams and models that can seamlessly transfer the data, with the assurance of data integrity, privacy, and control which is the scope of this paper. The usage of both the emerging technologies provides a value addition in terms of health data exchange with effective data distribution with decentralized privacy and computation. We have also introduced a consent-based personal health device registration mechanism on a blockchain consensus network with digital identity to allow and take back controls over who can access their data. We believe that this solution and the implementation would help everyone to predict the possible COVID-19 infections keeping data privacy at the most priority.