A Survey on Data-driven COVID-19 and Future Pandemic Management

A Survey on Data-driven COVID-19 and Future Pandemic Management
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DOI:
10.1145/3542818
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发表时间:
2023-07-01
影响因子:
16.6
通讯作者:
Luis,Steven
Luis,Steven
中科院分区:
计算机科学1区
文献类型:
--
作者:
Tao,Yudong;Yang,Chuang;Luis,Steven

文献摘要

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截至二零二二年三月,COVID-19疫情已导致全球超过4. 4亿例确诊病例及近600万例死亡报告。因此,世界经历了对公民生活、健康、福祉和经济的严重影响。在应对这种灾难性的全球性事件时,通常会采取对策来减缓和限制病毒的快速传播。与此同时,已经采取了灾后恢复、减灾和准备措施,以管理当前和未来流行病的影响和损失。近年来,数据驱动技术已经成功地应用于许多领域和关键应用。由于流行病管理的高度跨学科性质,研究人员提出并开发了跨各个领域的数据驱动技术。然而,仍然缺乏对大流行病管理的数据驱动技术的系统和全面调查。在本文中,我们回顾了现有的数据分析和可视化技术及其在COVID-19和未来流行病管理中的应用,涉及灾害管理的四个阶段(即响应,恢复,缓解和准备)。还总结了这些研究中使用的数据来源以及COVID-19的特定数据采集和整合技术。此外,开放的问题和数据驱动的流行病管理的未来方向进行了讨论。
The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally and almost 6 million reported deaths as of March 2022. Consequently, the world experienced grave repercussions to citizens’ lives, health, wellness, and the economy. In responding to such a disastrous global event, countermeasures are often implemented to slow down and limit the virus’s rapid spread. Meanwhile, disaster recovery, mitigation, and preparation measures have been taken to manage the impacts and losses of the ongoing and future pandemics. Data-driven techniques have been successfully applied to many domains and critical applications in recent years. Due to the highly interdisciplinary nature of pandemic management, researchers have proposed and developed data-driven techniques across various domains. However, a systematic and comprehensive survey of data-driven techniques for pandemic management is still missing. In this article, we review existing data analysis and visualization techniques and their applications for COVID-19 and future pandemic management with respect to four phases (namely, Response, Recovery, Mitigation, and Preparation) in disaster management. Data sources utilized in these studies and specific data acquisition and integration techniques for COVID-19 are also summarized. Furthermore, open issues and future directions for data-driven pandemic management are discussed.