CoVID-19 Spread and its Impact Analysis

Gupta, P.; Singhal, V. R.; Singh, Y.; Srivastava, R.

Gupta, P.; Singhal, V. R.; Singh, Y.; Srivastava, R..

3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021 ; : 2027-2030, 2021.

Article in English | Scopus | ID: covidwho-1774619

ABSTRACT

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.

Keywords

Covid-19; Machine Learning; Regression; SARS; Data Analytics; Data visualization; Analytic technique; Coronaviruses; Death rates; Impact analysis; Machine-learning; Social indicators; Visualization technique; World Health Organization; Coronavirus

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021 Year: 2021 Document Type: Article

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