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使用CiteSpace对新兴传染病中的信息通信技术进行分析映射。

Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace.

作者信息

Sood Sandeep Kumar, Rawat Keshav Singh, Kumar Dheeraj

机构信息

Department of Computer Aplications, National Institute of Technology, Kurukshetra, Haryana 136119, India.

Department of Computer Science and Informatics, Central University of Himachal Pradesh, Dharmashala, Himachal Pradesh 176215, India.

出版信息

Telemat Inform. 2022 Apr;69:101796. doi: 10.1016/j.tele.2022.101796. Epub 2022 Mar 8.

DOI:10.1016/j.tele.2022.101796
PMID:35282387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8901238/
Abstract

The prevalence of severe infectious diseases has become a major global health concern. Currently, the COVID-19 outbreak has spread across the world and has created an unprecedented humanitarian crisis. The proliferation of novel viruses has put traditional health systems under immense pressure and posed several serious issues. Henceforth, early detection, identification, rapid testing, and advanced surveillance systems are required to address public health emergencies. However, Information and Communication Technology (ICT) tackles several issues raised by this pandemic and significantly improves the quality of services in the health care sector. This paper presents an ICT-assisted scientometric analysis of infectious diseases, namely, airborne, food & waterborne, fomite-borne, sexually transmitted illnesses, and vector-borne illnesses. It assesses the international research status of this field in terms of citation structure, prolific journals, and country contributions. It has used the CiteSpace tool to address the visualization needs and in-depth insights of scientific literature to pinpoint core hotspots, research frontiers, emerging research areas, and ICT trends. The research finding reveals that mobile apps, telemedicine, and artificial intelligence technologies have greater scope to reduce the threats of infectious diseases. COVID-19, influenza, HIV, and malaria viruses have been identified as research hotspots whereas COVID-19, contact tracing applications, security and privacy concerns about users' data are the recent challenges in this field that need to address. The United States has produced higher research output in all domains of infectious diseases. Furthermore, it explores the co-occurrence network analysis and intellectual landscape of each domain of infectious diseases. It provides potential research directions and insightful clues to researchers and the academic fraternity for further research.

摘要

严重传染病的流行已成为全球主要的健康问题。目前,新冠疫情已蔓延至全球,造成了前所未有的人道主义危机。新型病毒的扩散给传统卫生系统带来了巨大压力,并引发了若干严重问题。因此,需要早期检测、识别、快速检测和先进的监测系统来应对突发公共卫生事件。然而,信息通信技术(ICT)解决了这场大流行引发的若干问题,并显著提高了医疗保健部门的服务质量。本文呈现了一项对传染病的ICT辅助科学计量分析,这些传染病包括空气传播、食物和水传播、 fomite传播、性传播疾病以及媒介传播疾病。它从引文结构、多产期刊和国家贡献等方面评估了该领域的国际研究现状。它使用了CiteSpace工具来满足科学文献的可视化需求和深入洞察,以确定核心热点、研究前沿、新兴研究领域和ICT趋势。研究结果表明,移动应用程序、远程医疗和人工智能技术在降低传染病威胁方面有更大的空间。新冠病毒、流感病毒、艾滋病毒和疟疾病毒已被确定为研究热点,而新冠病毒、接触者追踪应用程序、用户数据的安全和隐私问题是该领域近期需要解决的挑战。美国在传染病的所有领域都产出了更高的研究成果。此外,它还探索了传染病各领域的共现网络分析和知识格局。它为研究人员和学术界提供了潜在的研究方向和有洞察力的线索,以供进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/0b35796e07f1/gr10_lrg.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/e5066a585766/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/67a5203a3ea9/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/e835ab438ebc/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/f814c832ffd1/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/fbdfd0303c47/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/bc59246d4f01/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/a853e8e588c7/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/0c0ec99f62dd/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/342550ed6908/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8414/8901238/0b35796e07f1/gr10_lrg.jpg

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