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

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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


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