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Urban Intelligence for Pandemic Response: Viewpoint

Identifieur interne : 000046 ( 2020/Analysis ); précédent : 000045; suivant : 000047

Urban Intelligence for Pandemic Response: Viewpoint

Auteurs :

Source :

RBID : PMC:7159057

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.


Url:
DOI: 10.2196/18873
PubMed: 32248145
PubMed Central: 7159057


Affiliations:


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PMC:7159057

Le document en format XML

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<p>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.</p>
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<name sortKey="Liu, J" uniqKey="Liu J">J Liu</name>
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<name sortKey="Chen, Z" uniqKey="Chen Z">Z Chen</name>
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<author>
<name sortKey="Li, G" uniqKey="Li G">G Li</name>
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<author>
<name sortKey="Zheng, Z" uniqKey="Zheng Z">Z Zheng</name>
</author>
<author>
<name sortKey="Qiu, S" uniqKey="Qiu S">S Qiu</name>
</author>
<author>
<name sortKey="Luo, J" uniqKey="Luo J">J Luo</name>
</author>
<author>
<name sortKey="Ye, C" uniqKey="Ye C">C Ye</name>
</author>
<author>
<name sortKey="Zhu, S" uniqKey="Zhu S">S Zhu</name>
</author>
<author>
<name sortKey="Zhong, N" uniqKey="Zhong N">N Zhong</name>
</author>
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<name sortKey="Crawford, K" uniqKey="Crawford K">K Crawford</name>
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<name sortKey="Flowers, M" uniqKey="Flowers M">M Flowers</name>
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