About: A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus Goto Sponge NotDistinct Permalink

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
has title	A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus
Creator	Agarwal, Dheeresh Das, Shreeja Kishore, Raj Kumar Jha, Prashant Maloo, Tanmay Pegu, Hansraj Sahoo, Devadatta Sahu, Kisor Singhal, Ankita
Source	ArXiv
abstract	The present ongoing global pandemic caused by SARS-CoV-2 virus is creating havoc across the world. The absence of any vaccine as well as any definitive drug to cure, has made the situation very grave. Therefore only few effective tools are available to contain the rapid pace of spread of this disease, named as COVID-19. On 24th March, 2020, the the Union Government of India made an announcement of unprecedented complete lockdown of the entire country effective from the next day. No exercise of similar scale and magnitude has been ever undertaken anywhere on the globe in the history of entire mankind. This study aims to scientifically analyze the implications of this decision using a kinetic model covering more than 96% of Indian territory. This model was further constrained by large sets of realistic parameters pertinent to India in order to capture the ground realities prevailing in India, such as: (i) true state wise population density distribution, (ii) accurate state wise infection distribution for the zeroth day of simulation (20th March, 2020), (iii) realistic movements of average clusters, (iv) rich diversity in movements patterns across different states, (v) migration patterns across different geographies, (vi) different migration patterns for pre- and post-COVID-19 outbreak, (vii) Indian demographic data based on the 2011 census, (viii) World Health Organization (WHO) report on demography wise infection rate and (ix) incubation period as per WHO report. This model does not attempt to make a long-term prediction about the disease spread on a standalone basis; but to compare between two different scenarios (complete lockdown vs. no lockdown). In the framework of model assumptions, our model conclusively shows significant success of the lockdown in containing the disease within a tiny fraction of the population and in the absence of it, it would have led to a very grave situation.
has issue date	2020-04-12(xsd:dateTime)
has license	arxiv
sha1sum (hex)	e171aa9d88b11c4dca62ea02fa128b95c512bb06
resource representing a document's title	A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus
resource representing a document's body	covid:e171aa9d88b11c4dca62ea02fa128b95c512bb06#body_text
is schema:about of	named entity 'This' named entity 'lockdown' named entity 'demographic' named entity 'drug' named entity 'virus' named entity 'wise' named entity 'kinetic' named entity 'ground' named entity 'fraction' named entity 'outbreak' named entity 'data based' named entity 'GRAVE' named entity '28I' named entity 'TERRITORY' named entity 'LONG-TERM' named entity 'PRESENT' named entity 'WISE' named entity 'COVID-19' named entity 'DRUG' named entity 'TOOLS' named entity 'SIMILAR' named entity 'CONTAINING' named entity 'EFFECTIVE' named entity 'INFECTION' named entity 'BASIS' named entity 'DISTRIBUTION' named entity 'MAKE' named entity 'MAGNITUDE' named entity 'TO COMPARE' named entity 'POPULATION' named entity 'MARCH' covid:arg/e171aa9d88b11c4dca62ea02fa128b95c512bb06 named entity 'lockdown' named entity 'model' named entity 'basis' named entity 'This' named entity 'March' named entity 'lockdown' named entity 'March' named entity 'This' named entity 'absence' named entity 'model' named entity 'globe' named entity 'definitive' named entity 'Union Government of India' named entity 'scientifically analyze' named entity 'SARS-CoV-2 virus' named entity 'World Health Organization' named entity 'lockdown' named entity 'SARS-CoV-2 virus' named entity 'SARS-CoV' named entity 'SARS-CoV-2' named entity 'mutation' named entity 'vaccine' named entity 'SARS-CoV-2' named entity 'Euclidean distance' named entity '21 days' named entity 'Thane' named entity 'social distancing' named entity 'probability' named entity 'probability' named entity 'kinetic theory' named entity 'upper respiratory tract' named entity 'virus' named entity 'modern medical' named entity 'Union Government of India' named entity 'RNA' named entity 'COVID' named entity 'Canada' named entity 'ACE2 receptor' named entity 'lower respiratory' named entity 'WHO' named entity 'long-term prediction' named entity 'preventive measures' named entity 'Mumbai' named entity 'virus' named entity 'Euclidian' named entity 'COVID-19' named entity 'kinetic theory'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software