About: Searching the Sigmoid-type trend in Lock Down period covid19 data of India and its different states

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Searching the Sigmoid-type trend in Lock Down period covid19 data of India and its different states
Creator	Mondal, Supriya Ghosh, Sabyasachi
Source	MedRxiv
abstract	We have worked on imported covid19 cases of India, detected after declaration of lock down. They are marked as hidden travelers, who are detected later during 1-2 weeks period of lock down. We have investigated the impact of those travelers on selective 15 states, having large number cases. Among them 5 states have faced a noticeable effect on their data profile, although its overall effect in country level is quite negligible. Searching the Sigmoid trends of all 15 states, we have identified 3 categories depending upon latest data of new case with respect to the peak value of Sigmoid functions. Based on our optimistic predicted curves, ongoing lock down period might be enough for getting marginal values of new cases for KL, HR, JK, TN and AP but the reamining of 15 states might need a third phase of lock down or alternative preventive measures.
has issue date	2020-04-30(xsd:dateTime)
bibo:doi	10.1101/2020.04.25.20079624
has license	medrxiv
sha1sum (hex)	e98cb5a5cea0fbfcc24153d49b0a092cdd9a0548
schema:url	https://doi.org/10.1101/2020.04.25.20079624
resource representing a document's title	Searching the Sigmoid-type trend in Lock Down period covid19 data of India and its different states
resource representing a document's body	covid:e98cb5a5cea0fbfcc24153d49b0a092cdd9a0548#body_text
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