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数字转型与应对 COVID-19 疫情的开放式创新规划:系统文献回顾与未来研究议程。

Digital Transformation and Open Innovation Planning of Response to COVID-19 Outbreak: A Systematic Literature Review and Future Research Agenda.

机构信息

Law School, Huazhong University of Science and Technology, Wuhan 430074, China.

Sino-European Institute for Intellectual Property, Huazhong University of Science and Technology, Wuhan 430074, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 3;20(3):2731. doi: 10.3390/ijerph20032731.

DOI:10.3390/ijerph20032731
PMID:36768096
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9916385/
Abstract

The COVID-19 pandemic highlights the importance of digital technology in a specific region's epidemic prevention and control, and the digital transformation strategy based on the open innovation system is an emerging way to tackle conceivable outbreaks. Based on the bibliometric study of relevant literature data, this paper evaluated the research and development status in this field, and conducted a systematic literature review on the basis of the core articles identified. The results of bibliometric analysis software, including CiteSpace, CitNetExplorer and VOSViewer, showed that the development of relevant research presented rapidity and decentralization, and the evolution process of literature topics further implies the necessity of interdisciplinary and multisectoral collaboration. Furthermore, this paper summarized the specific implementation strategies for constructing an open innovation system, and discussed the role and development plan of digital technology in epidemic prevention and control.

摘要

新冠疫情凸显了数字技术在特定地区疫情防控中的重要性,基于开放式创新系统的数字化转型战略是应对可能出现的疫情的新兴方法。本文通过对相关文献数据的文献计量研究,评估了该领域的研究和开发现状,并基于确定的核心文章进行了系统的文献综述。CiteSpace、CitNetExplorer 和 VOSViewer 等文献计量分析软件的结果表明,相关研究的发展呈现出快速性和分散性,文献主题的演变过程进一步暗示了跨学科和多部门合作的必要性。此外,本文总结了构建开放式创新系统的具体实施策略,并讨论了数字技术在疫情防控中的作用和发展计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/5917b6edfb65/ijerph-20-02731-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/ebdf789c1640/ijerph-20-02731-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/daa0498dd0ca/ijerph-20-02731-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/ba91b817c842/ijerph-20-02731-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/8ea44aa86701/ijerph-20-02731-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/b68dbbdf2786/ijerph-20-02731-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/701347af0a91/ijerph-20-02731-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/122399c8e817/ijerph-20-02731-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/5917b6edfb65/ijerph-20-02731-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/ebdf789c1640/ijerph-20-02731-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/daa0498dd0ca/ijerph-20-02731-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/ba91b817c842/ijerph-20-02731-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/8ea44aa86701/ijerph-20-02731-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/b68dbbdf2786/ijerph-20-02731-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/701347af0a91/ijerph-20-02731-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/122399c8e817/ijerph-20-02731-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46c/9916385/5917b6edfb65/ijerph-20-02731-g008.jpg

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本文引用的文献

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Determining the perceptions of pre-service teachers on technology-based learning during the Covid-19 process: a latent class analysis approach.确定职前教师在新冠疫情期间对基于技术的学习的看法:一种潜在类别分析方法。
Educ Inf Technol (Dordr). 2022;27(6):7471-7490. doi: 10.1007/s10639-022-10910-2. Epub 2022 Feb 10.
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Advantages of and Barriers to Crafting New Technology in Healthcare Organizations: A Qualitative Study in the COVID-19 Context.在 COVID-19 背景下,医疗保健组织中新技术的制定优势和障碍:定性研究。
Int J Environ Res Public Health. 2022 Aug 12;19(16):9951. doi: 10.3390/ijerph19169951.
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COVLIAS 1.0 vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.
COVLIAS 1.0与MedSeg:一种用于COVID-19肺部计算机断层扫描中病变自动分割的人工智能框架。
Diagnostics (Basel). 2022 May 21;12(5):1283. doi: 10.3390/diagnostics12051283.
4
The Impact of COVID-19 Confinement on Cognition and Mental Health and Technology Use Among Socially Vulnerable Older People: Retrospective Cohort Study.COVID-19 禁闭对社会弱势群体老年人认知和心理健康的影响以及技术使用:回顾性队列研究。
J Med Internet Res. 2022 Feb 22;24(2):e30598. doi: 10.2196/30598.
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Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective.新冠疫情期间英国供应链的韧性:资源编排视角
Int J Prod Econ. 2022 Mar;245:108405. doi: 10.1016/j.ijpe.2021.108405. Epub 2022 Jan 3.
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A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19).关于用于新型冠状病毒(COVID-19)诊断的深度学习技术的综述
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