Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1154
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDudeja, Hardik-
dc.contributor.authorModi, Meet-
dc.contributor.authorSethi, Tavpritesh (Advisor)-
dc.date.accessioned2023-04-14T13:20:41Z-
dc.date.available2023-04-14T13:20:41Z-
dc.date.issued2022-12-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1154-
dc.description.abstractIn response to the Covid 19 pandemic, countries have sought to control the spread through restricting population movement and social distancing protocols. It was found that with the decrease in mobility of the people, the transmission was significantly decreased. If there was a surge in movement in some particular area, the cases followed the same trend, i.e., increased. There is a clear relationship between mobility and transmission; thus, this relationship can help us gain some insights. With the help of this project, we aim to find the correlation between the strain flow and mobility to understand the demographic pattern of strain emergence. Keywords:en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectMovement Mapsen_US
dc.subjectStrain flowen_US
dc.subjectNFHSen_US
dc.subjectNode2Vec Embeddingsen_US
dc.subjectBorutaen_US
dc.subjectDifferential Entropyen_US
dc.subjectKalmen Imputationen_US
dc.subjectBoruta Algorithmen_US
dc.subjectPearson Correlationen_US
dc.subjectNetworkxen_US
dc.subjectJaccard Indexen_US
dc.subjectAlluvial Diagramen_US
dc.titleUnderstanding covid-19 strain emergence in the light of mobility patternsen_US
Appears in Collections:Year-2022

Files in This Item:
File Description SizeFormat 
Hardik Dudeja.pdf
  Restricted Access
2.55 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.