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dc.contributor.authorGupta, Rajiv-
dc.date.accessioned2021-11-27T04:23:08Z-
dc.date.available2021-11-27T04:23:08Z-
dc.date.issued2021-09-13-
dc.identifier.urihttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2020-0134/full/html-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3754-
dc.description.abstractThere 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.isoenen_US
dc.publisherEmeralden_US
dc.subjectCivil Engineeringen_US
dc.subjectNormalized progressionen_US
dc.subjectRandom progressionen_US
dc.subjectPandemicen_US
dc.titleSprawl of the COVID-19 in changing scenario: a methodology based on social interactionen_US
dc.typeArticleen_US
Appears in Collections:Department of Civil Engineering

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