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1000 Titel
  • 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
1000 Autor/in
  1. Allam, Zaheer |
  2. Jones, David |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-02-27
1000 Erschienen in
1000 Quellenangabe
  • 8(1):46
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3390/healthcare8010046 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal artificial intelligence
gnd 1206347392 COVID-19
lokal smart cities
lokal pandemics
lokal 2019-nCoV
lokal future cities
lokal Coronavirus
lokal Internet of Things (IoT)
lokal urban health
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7682-5912|https://orcid.org/0000-0003-3990-5520
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1000 Förderprogramm
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1000 Erstellt am 2020-04-14T15:03:53.442+0200
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  1. oai:frl.publisso.de:frl:6420048 |
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