Sprawl of the COVID-19 in changing scenario: a methodology based on social interaction

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/3754

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DC Field	Value	Language
dc.contributor.author	Gupta, Rajiv
dc.contributor.author	Kumar, Gaurav
dc.date.accessioned	2021-11-27T04:23:08Z
dc.date.available	2021-11-27T04:23:08Z
dc.date.issued	2021-09-13
dc.identifier.uri	https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2020-0134/full/html
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3754
dc.description.abstract	There are several methods developed in the recent past to predict the spread of COVID-19 in different countries. However, due to changing scenarios in terms of interaction among people, none could predict the case close to the actual figures. An attempt to simulate people's interaction due to economic reopening concerning the confirmed cases at various places as per changing situation has been made. The scenario development method's base lies in the hypothesis that if there were no inter-state transportation during India's lockdown after May 24th, the number of infection cases would have started lowering down in a normalized progression.	en_US
dc.language.iso	en	en_US
dc.publisher	Emerald	en_US
dc.subject	Civil Engineering	en_US
dc.subject	Normalized progression	en_US
dc.subject	Random progression	en_US
dc.subject	Pandemic	en_US
dc.title	Sprawl of the COVID-19 in changing scenario: a methodology based on social interaction	en_US
dc.type	Article	en_US
Appears in Collections:	Department of Civil Engineering

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