dc.contributor.author | Lai, Yuan | |
dc.contributor.author | Yeung, Wesley | |
dc.contributor.author | Celi, Leo Anthony | |
dc.date.accessioned | 2020-04-24T18:18:21Z | |
dc.date.available | 2020-04-24T18:18:21Z | |
dc.date.issued | 2020-04 | |
dc.identifier.issn | 2369-2960 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/124865 | |
dc.description.abstract | Previous epidemic management research proves the importance of city-level information, but also highlights limited expertise in urban data applications during a pandemic outbreak. In this paper, we provide an overview of city-level information, in combination with analytical and operational capacity, that define urban intelligence for supporting response to disease outbreaks. We present five components (movement, facilities, people, information, and engagement) that have been previously investigated but remain siloed to successfully orchestrate an integrated pandemic response. Reflecting on the coronavirus disease (COVID-19) outbreak that was first identified in Wuhan, China, we discuss the opportunities, technical challenges, and foreseeable controversies for deploying urban intelligence during a pandemic. Finally, we emphasize the urgency of building urban intelligence through cross-disciplinary research and collaborative practice on a global scale. ©2020 Keywords: urban informatics; urban science; data science; health emergency; medical informatics; COVID-19; pandemic; outbreak; public health; infectious disease | en_US |
dc.relation.isversionof | 10.2196/18873 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | JMIR Public Health and Surveillance | en_US |
dc.title | Urban Intelligence for Pandemic Response: Viewpoint | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Lai, Yuan, Wesley Yeung, and Leo Anthony Celi, "Urban Intelligence for Pandemic Response: Viewpoint." JMIR Public Health and Surveillance 6, 2 (2020): no. e18873 doi 10.2196/18873 ©2020 Author(s) | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Urban Studies and Planning | en_US |
dc.relation.journal | JMIR Public Health and Surveillance | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.date.submission | 2020-04-24T16:27:26Z | |
mit.journal.volume | 6 | en_US |
mit.journal.issue | 2 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Complete | |