Real-time modelling and forecasting of confirmed and death cases for immediate action and their prevention against COVID-19 in India Online publication date: Tue, 06-Jul-2021
by Nishtha Phutela; Sunil Gupta; Goldie Gabrani
International Journal of System of Systems Engineering (IJSSE), Vol. 11, No. 2, 2021
Abstract: COVID-19 is an extremely contagious disease caused due to SARS-CoV-2 that appeared from Wuhan and has now spread all over the world. Its spread is worrisome not only because of its high transmissibility rate but also the fatality rate as reported by various studies. Hence, it becomes very important to estimate its spread in order to take appropriate preventive measures. In this paper, authors use different mathematical models to predict the count of COVID-19 confirmed cases in India till the end of lockdown 2.0 and the number of deaths using the data of patients in India. The comparison of the analytical results and the available results shows that the proposed methods are accurate within a specific range and will be useful for healthcare leaders and decision makers in near future. The forecasted results suggest the strong need of preventive measures to be taken rapidly in order to fight with COVID-19.
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 System of Systems Engineering (IJSSE):
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