An UAV Assisted Need Assessment and Prediction System for COVID-19 Vaccination

ABSTRACT

Health monitoring by government in rural and Urban areas become very much challenging task as they require huge amount of technicians, doctors and funds to complete. In the time of COVID-19 pandemic, it is difficult to allow doctors to visit rural areas for monitoring the health of public, rather than allocate their duties in COVID-19 hospitals to save critical patients. But, it is also necessary to monitor health of public to vaccinate them priority wise in the scarcity of COVID-19 vaccines. In this paper we have proposed a novel UAV (Unmanned Aerial Vehicle) assisted health monitoring system which can be operated in any remote location to get required data about the health condition of the people. After collecting the desired data from the user, system saves them in memory. In the control room, UAV uploads the collected data to the server for analysis. From the analysed data the system can decide whom need to be vaccinated immediately. UAV system will analyse the data with respect to different parameters like age, co-morbidity, blood pressure and other attributes. From this analysed data using machine learning algorithm, system also predicts how many days might be taken to complete the whole vaccination process. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.