Zhu, Yijie and Jiang, Richard and Ni, Qiang (2022) A Survey on AI-Enabled Pandemic Prediction and Prevention : What We Can Learn from COVID. In: Advanced Sciences and Technologies for Security Applications :. Advanced Sciences and Technologies for Security Applications . Springer, pp. 133-145. ISBN 978-3-031-04423-6
Full text not available from this repository.Abstract
COVID-19 pandemic spread quickly in Wuhan, China in December 2019. This destructive infection spread quickly all over the planet, causing enormous misfortunes of individuals and property. All over the planet, researchers, clinicians and legislatures are continually looking for new technologies to against the COVID-19 pandemic. The use of artificial intelligence (AI) innovation gives a better approach to battle the pandemic. This paper sums up the exploration and utilization of AI in forecast and avoidance of COVID-19 pandemics, and the possibility of AI innovation used to fight against the pandemic in the situation of smart city.