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
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
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DOI：
10.3390/healthcare8010046
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发表时间：
2020-03-01
期刊：
影响因子：
2.8
通讯作者：
Jones, David S.
中科院分区：
文献类型：
--
作者：
Allam, Zaheer;Jones, David S.
随着冠状病毒（COVID-19）从中国扩大影响，将其覆盖范围扩大到周边地区和其他国家，各国和国际社会正在采取更多措施来遏制疫情。将整个城市置于“封锁”状态直接影响到多边层面的城市经济，包括从社会和经济角度。随着疫情在其他国家蔓延，导致全球卫生紧急情况，以及在许多方面寻求全球合作，这一点正在得到强调。然而，虽然强调了关于共享健康数据的有效协议，但另一方面，城市数据，特别是与城市健康和安全城市概念有关的数据，仍然从民族主义的角度被视为仅仅有利于国家经济及其经济和政治影响。这篇观点论文是在检测后一个月和疫情期间撰写的，从城市的角度调查了病毒爆发，并提出了智慧城市网络应如何努力加强标准化协议，以便在爆发或灾害时增加数据共享，从而更好地了解和管理全球。
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.