Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting

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dc.contributor.author Patil, Rohan
dc.contributor.author Dave, Raviraj
dc.contributor.author Patel, Harsh
dc.contributor.author Shah, Viraj M.
dc.contributor.author Chakrabarti, Deep
dc.contributor.author Bhatia, Udit
dc.coverage.spatial United States of America
dc.date.accessioned 2021-01-21T12:13:31Z
dc.date.available 2021-01-21T12:13:31Z
dc.date.issued 2021-01
dc.identifier.citation Patil, Rohan; Dave, Raviraj; Patel, Harsh; Shah, Viraj M.; Chakrabarti, Deep and Bhatia, Udit, “Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting”, Applied Network Science, DOI: 10.1007/s41109-020-00346-3, vol. 6, no. 1, Jan. 2021. en_US
dc.identifier.issn 1948-7193
dc.identifier.uri https://doi.org/10.1007/s41109-020-00346-3
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/6223
dc.description.abstract The dense social contact networks and high mobility in congested urban areas facilitate the rapid transmission of infectious diseases. Typical mechanistic epidemiological models are either based on uniform mixing with ad-hoc contact processes or need real-time or archived population mobility data to simulate the social networks. However, the rapid and global transmission of the novel coronavirus (SARS-CoV-2) has led to unprecedented lockdowns at global and regional scales, leaving the archived datasets to limited use.
dc.description.statementofresponsibility by Rohan Patil, Raviraj Dave, Harsh Patel, Viraj M. Shah, Deep Chakrabarti and Udit Bhatia
dc.language.iso en_US en_US
dc.publisher American Chemical Society en_US
dc.subject Transportation network en_US
dc.subject SARS CoV2 en_US
dc.subject Social networks en_US
dc.subject Transportation gravity models en_US
dc.title Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting en_US
dc.type Article en_US
dc.relation.journal Applied Network Science


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