A Dynamic Scientific Model for Recovery of Coronavirus Disease

Background: Coronavirus is the most pressing scientific puzzle in the 21st century. This is a pandemic spreading globally through exploration of various wireless sensor networks. Yet Medical authorities are facing the obnoxious ever-increasing causes of coronavirus as a very global turning issue. Aims: The study aims to outline the scientific model for recovery of coronavirus disease with comprehensive follow-up and services. Methods: A dynamic scientific model was established in connection with recovery of coronavirus disease. This model identified the COVID-19 patients who need boosted follow up to recover with dynamic community cares. Sensor data were collected from the patient's profile, diagnosis and complication records at light and dark environments. Results: The study demonstrates total 150 patients suffered from coronavirus disease and stayed at home isolation within optical GPS locations. In a light environment, all patients recover from coronavirus disease due to wireless sensor network isolation, changing their GPS locations instantly with tightly closed eyes and wearing anti-radiation sunglasses, and also clothe with black uniforms in the whole body. The obese patients required long time to recover in dark environment in comparison with others. Replication: The findings replicate the coronavirus disease recovery for dynamic health security that the physicians provide on the priority of strategy, mental health service, innovations, potentiality and personalism. Conclusion: Scientific healthcare sensor knowledge is indispensable for recovery of coronavirus disease. The study reveals the implementation of sensor network approach to patients with coronavirus disease recognizing those with augmenting physical, technological and mental healthcare requirements. The study suggests future research trajectories of a new alternative sensor network isolation model to promote global public health security.