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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Behavioural and Healthcare Research (IJBHR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook