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On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management.
Allam, Zaheer; Jones, David S.
  • Allam Z; The Port Louis Development Initiative (PLDI), Port Louis 11302, Mauritius.
  • Jones DS; School of Architecture & Built Environment, Deakin University, Geelong, VIC 3220, Australia.
Healthcare (Basel) ; 8(1)2020 Feb 27.
Article in English | MEDLINE | ID: covidwho-3221
ABSTRACT
As the Coronavirus (COVID-19) expands its impact from China, expanding its catchment into surrounding regions and other countries, increased national and international measures are being taken to contain the outbreak. The placing of entire cities in 'lockdown' directly affects urban economies on a multi-lateral level, including from social and economic standpoints. This is being emphasised as the outbreak gains ground in other countries, leading towards a global health emergency, and as global collaboration is sought in numerous quarters. However, while effective protocols in regard to the sharing of health data is emphasised, urban data, on the other hand, specifically relating to urban health and safe city concepts, is still viewed from a nationalist perspective as solely benefiting a nation's economy and its economic and political influence. This perspective paper, written one month after detection and during the outbreak, surveys the virus outbreak from an urban standpoint and advances how smart city networks should work towards enhancing standardization protocols for increased data sharing in the event of outbreaks or disasters, leading to better global understanding and management of the same.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Year: 2020 Document Type: Article Affiliation country: Healthcare8010046

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Year: 2020 Document Type: Article Affiliation country: Healthcare8010046