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3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021 ; : 2027-2030, 2021.
Article in English | Scopus | ID: covidwho-1774619

ABSTRACT

The proposed research aims at the analysis of spread of coronavirus and factors that contributed significantly in the rise or fall of death rate by correlating it with various social indicators. We will be using data analytics and visualization techniques to get significant insights from data collected from World Health Organization (WHO), John Hopkins University and other data repositories and reputable sources. © 2021 IEEE.

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