A Database Application of Monitoring COVID-19 in India

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Abstract

A quick user-friendly application of any pandemic situation can reduce the huge value of mortality with producing the graph of cases. Simple database application can make sense to the people about the pandemic and transmissions. This research aimed to develop a simple application which shows the real-time cases of COVID-19 and analyzes different states condition of India and a proper graphical prediction of cases. This application notifies people to get alert about the transmission and precautions to get rid of this pandemic. This application also helps clinical doctors, ministry and decision makers to improve the gap of any unfilled section. We have used the platform of APEX Oracle to develop this application and analyzed the dataset. The accuracy of the data is 78% rather than any other existing techniques. Combining the application and advance techniques, this study can create a vital framework for the prediction of any pandemics.

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APA

Pathania, V., Babu, S. Z. D., Ahamad, S., Thilakavathy, P., Gupta, A., Alazzam, M. B., & Pandey, D. (2023). A Database Application of Monitoring COVID-19 in India. In Lecture Notes in Computational Vision and Biomechanics (Vol. 37, pp. 267–274). Springer Science and Business Media B.V. https://doi.org/10.1007/978-981-19-0151-5_23

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