Title: Visualisation of COVID-19 pandemic in India with RStudio

Authors: Jagadeeshwar Kodavaty; Rishi Jain; Shreyash Yadav; Sachin Bisht

Addresses: Department of Chemical Engineering, University of Petroleum and Energy Studies, Bidholi, Dehradun 248007, India ' Department of Chemical Engineering, University of Petroleum and Energy Studies, Bidholi, Dehradun 248007, India ' Department of Chemical Engineering, University of Petroleum and Energy Studies, Bidholi, Dehradun 248007, India ' Department of Chemical Engineering, University of Petroleum and Energy Studies, Bidholi, Dehradun 248007, India

Abstract: The outbreak of the serious acute respiratory syndrome corona virus 2 (SARS-Cov-2) has influenced the whole world and has turned into a global pandemic. Up to November 2020, about 22.8 million active cases were present worldwide, beginning from the first official infected case, which was detected on 8 December 2019, by the Chinese government in Wuhan, China. In spite of the measures taken by the governments, the COVID-19 cases were unpredictable worldwide and prediction of such disease, based on various circumstances is challenging. COVID-19 infected cases in India were analysed using RSoftware and lockdown and unlock periods were thoroughly analysed using the actual and predicted data of COVID-19 cases. It is found that the predicted COVID-19 infections based on the lockdown and unlock periods data were quite different and there is non-monotonic increase because of the variant regulations of the Government.

Keywords: COVID-19; corona virus; pandemic; Indian scenario; lockdown.

DOI: 10.1504/IJBHR.2022.10045132

International Journal of Behavioural and Healthcare Research, 2022 Vol.8 No.1/2, pp.74 - 83

Received: 24 Nov 2021
Accepted: 15 Jan 2022

Published online: 07 Apr 2022 *

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