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Urban Intelligence for Pandemic Response: Viewpoint.
Lai, Yuan; Yeung, Wesley; Celi, Leo Anthony.
Afiliación
  • Lai Y; Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Yeung W; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Celi LA; National University Hospital, Singapore, Singapore.
JMIR Public Health Surveill ; 6(2): e18873, 2020 04 14.
Article en En | MEDLINE | ID: mdl-32248145
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 4_TD Problema de salud: 1_surtos_doencas_emergencias / 4_pneumonia Asunto principal: Neumonía Viral / Población Urbana / Salud Pública / Infecciones por Coronavirus / Coronavirus / Informática en Salud Pública / Ciencia de los Datos Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Humans País/Región como asunto: Asia Idioma: En Revista: JMIR Public Health Surveill Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 4_TD Problema de salud: 1_surtos_doencas_emergencias / 4_pneumonia Asunto principal: Neumonía Viral / Población Urbana / Salud Pública / Infecciones por Coronavirus / Coronavirus / Informática en Salud Pública / Ciencia de los Datos Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Humans País/Región como asunto: Asia Idioma: En Revista: JMIR Public Health Surveill Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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