Understanding covid-19 strain emergence in the light of mobility patterns

Dudeja, Hardik; Modi, Meet; Sethi, Tavpritesh (Advisor)

dc.contributor.author	Dudeja, Hardik
dc.contributor.author	Modi, Meet
dc.contributor.author	Sethi, Tavpritesh (Advisor)
dc.date.accessioned	2023-04-14T13:20:41Z
dc.date.available	2023-04-14T13:20:41Z
dc.date.issued	2022-12
dc.identifier.uri	http://repository.iiitd.edu.in/xmlui/handle/123456789/1154
dc.description.abstract	In 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.iso	en_US	en_US
dc.publisher	IIIT-Delhi	en_US
dc.subject	Movement Maps	en_US
dc.subject	Strain flow	en_US
dc.subject	NFHS	en_US
dc.subject	Node2Vec Embeddings	en_US
dc.subject	Boruta	en_US
dc.subject	Differential Entropy	en_US
dc.subject	Kalmen Imputation	en_US
dc.subject	Boruta Algorithm	en_US
dc.subject	Pearson Correlation	en_US
dc.subject	Networkx	en_US
dc.subject	Jaccard Index	en_US
dc.subject	Alluvial Diagram	en_US
dc.title	Understanding covid-19 strain emergence in the light of mobility patterns	en_US