COVID-19 in the Era of Artificial Intelligence: Existing Technologies and A Strategic Model for Mitigating Future Pandemics

Bandar M. Alshammari
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引用次数: 0

Abstract

: Pandemics have existed since the existence of life and will continue as life continues. Throughout many of the previous pandemics, what played a major role in decreasing their severity is how we mitigated and controlled them. The main reason for this is the time it takes for treatments and vaccinations to be developed, which usually takes a long time. Therefore, the techniques used to control a pandemic rapidly change over the course of the pandemic until a cure or vaccine comes to light. At present, advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), fifth generation networks, and big data can without a doubt play major roles in controlling upcoming pandemics including COVID-19. This paper provides a comprehensive survey of current technologies that use AI and big data analytics to take part in the fight against the current pandemic (COVID-19), including their objectives, strengths, weaknesses, and challenges. This paper also studies existing telemedicine technologies and contact tracing tools used in various countries, which governments have adapted to fight against the current COVID-19 pandemic. This work concludes by suggesting a novel strategic model for controlling and mitigating pandemic crises (e.g., COVID-19). This model represents a guided solution for identifying pandemics and for controlling them using advanced digital solutions from the early stages.
人工智能时代的 COVID-19:现有技术与缓解未来流行病的战略模式
:大流行病从有生命以来就一直存在,并将随着生命的延续而继续存在。在以往的许多大流行病中,降低其严重程度的主要因素是我们如何缓解和控制它们。主要原因是治疗方法和疫苗的研发需要时间,而这通常需要很长时间。因此,在治疗方法或疫苗出现之前,用于控制大流行病的技术会在大流行过程中迅速改变。目前,人工智能(AI)、物联网(IoT)、第五代网络和大数据等先进技术无疑可以在控制包括 COVID-19 在内的即将到来的流行病方面发挥重要作用。本文全面调查了当前利用人工智能和大数据分析参与对抗当前流行病(COVID-19)的技术,包括其目标、优势、劣势和挑战。本文还研究了各国政府为应对当前 COVID-19 大流行病而采用的现有远程医疗技术和联系人追踪工具。最后,本文提出了一种控制和缓解流行病危机(如 COVID-19)的新型战略模式。该模式是一种指导性解决方案,可用于识别大流行病,并在早期阶段利用先进的数字解决方案对其进行控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer Science
Journal of Computer Science Computer Science-Computer Networks and Communications
CiteScore
1.70
自引率
0.00%
发文量
92
期刊介绍: Journal of Computer Science is aimed to publish research articles on theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems. JCS updated twelve times a year and is a peer reviewed journal covers the latest and most compelling research of the time.
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