首页    期刊浏览 2024年09月19日 星期四
登录注册

文章基本信息

  • 标题: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
  • 本地全文:下载
  • 作者:Zaheer Allam ; David S. Jones
  • 期刊名称:Healthcare
  • 电子版ISSN:2227-9032
  • 出版年度:2020
  • 卷号:8
  • 期号:1
  • 页码:46-54
  • DOI:10.3390/healthcare8010046
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:urban health; smart cities; artificial intelligence; Coronavirus; pandemics; future cities; Internet of Things (IoT); COVID-19; 2019-nCoV urban health ; smart cities ; artificial intelligence ; Coronavirus ; pandemics ; future cities ; Internet of Things (IoT) ; COVID-19 ; 2019-nCoV
国家哲学社会科学文献中心版权所有