About: COVID-19 and India: What Next?

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	COVID-19 and India: What Next?
Creator	Behl, Ramesh Mishra, Manit
source	ArXiv
abstract	The study carries out predictive modeling based on publicly available COVID-19 data for the duration 01 April to 20 June 2020 pertaining to India and five of its most infected states: Maharashtra, Tamil Nadu, Delhi, Gujarat, and Rajasthan using susceptible, infected, recovered, and dead (SIRD) model. The basic reproduction number R0 is derived by exponential growth method using RStudio package R0. The differential equations reflecting SIRD model have been solved using Python 3.7.4 on Jupyter Notebook platform. For visualization, Python Matplotlib 3.2.1 package is used. The study offers insights on peak-date, peak number of COVID-19 infections, and end-date pertaining to India and five of its states. The results could be leveraged by political leadership, health authorities, and industry doyens for policy planning and execution.
has issue date	2020-07-24(xsd:dateTime)
has license	arxiv
sha1sum (hex)	c3589d6576df16f563ff616c09465eb8521bd4aa
resource representing a document's title	COVID-19 and India: What Next?
resource representing a document's body	covid:c3589d6576df16f563ff616c09465eb8521bd4aa#body_text
is schema:about of	named entity 'STATES' named entity 'DATA' named entity 'Rajasthan' named entity 'generation time' named entity 'COVID-19' »more»

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