Visualization of COVID-19 Pandemic: An Analysis Through Machine Intelligent Technique Toward Big Data Paradigm

Sarkar, Manash; Gupta, Saptarshi; Gaur, Bhavya; Balas, Valentina E.

The word pandemic is scary to whole world. It is a pestilence of an irresistible ailment that has spread over an enormous district, for example, different mainland’s or around the world, influencing a generous number of individuals. An across the board endemic illness with a steady number of contaminated individuals is definitely not a pandemic. Far reaching endemic maladies with a steady number of contaminated individuals. The people are infected from various part of the world. The number of confirmed cases of COVID-19 in increasing abruptly day by day. The world economy is hampered due to this pandemic. To improve the world economy, it is required to adapt an optimistic decision for during this pandemic as well as for post-pandemic. In this research paper, a real-time data set from World Health Organization (WHO) is collected and analyzed. The nature of the data set is as the concept of big data. A statistical analysis is performed on the data set and produce the results. The data for India is only considered for analysis. The number of death cases and number of COVID-19 confirmed cases in India during the period of 15 weeks from 28th February 2020 to 7th June 2020. Finally, the analysis reported that in India rate of death cases is less than rate of cure cases.