Covid19 tracking algorithm and conceptualization of an associated patient monitoring system

The outburst of corona virus called SARS-COV-2 saw a sudden surge in active cases all over the world. Kalman filter with its tremendous prediction capability achieves the actual value within limited iteration so that any locality can be aware of the increase in the status of the infected patients. This paper proposes the estimation algorithm for tracking covid19 patients in locality using kalman filter. The vitals acquired from these patients through sensors can be transmitted to the doctor through internet for further monitoring thereby decreasing the fatality rate including post covid19 patients. Kalman filtering along with monitoring system can bring wonders in medical field thus decreasing the risk of sudden heart attack, variation in blood pressure, blood sugar fluctuations in patients located in remote locations.