Visualisation of COVID-19 pandemic in India with RStudio Online publication date: Thu, 07-Apr-2022
by Jagadeeshwar Kodavaty; Rishi Jain; Shreyash Yadav; Sachin Bisht
International Journal of Behavioural and Healthcare Research (IJBHR), Vol. 8, No. 1/2, 2022
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.
Online publication date: Thu, 07-Apr-2022
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