对数字孪生在高效大流行病管理中的挑战和新趋势进行系统审查

Ettilla Mohiuddin Eumi
{"title":"对数字孪生在高效大流行病管理中的挑战和新趋势进行系统审查","authors":"Ettilla Mohiuddin Eumi","doi":"10.1016/j.dajour.2024.100502","DOIUrl":null,"url":null,"abstract":"<div><p>In recent years, Digital Twins (DTs) implementation has significantly impacted various sectors like industry, healthcare, engineering, and technology. However, the examination of these areas concerning pandemic management is still in its early stages. To bridge this gap, a systematic literature review was conducted here spanning from 2017 to March 2024, with a specific focus on COVID-19-related issues from 2020 to March 2024. Employing a five-step filtering process, nearly 10,000 articles were initially identified based on specific search strings. Subsequently, 297 publications were selected and examined across pre-pandemic, pandemic, and post-pandemic phases to discern emerging patterns, limitations, and future research directions. Drawing from these insights, a concept for a ‘Digital-Twin-based Smart Pandemic City’ was proposed, aiming to ensure contemporary amenities while preparing for potential pandemics by leveraging advanced cloud storage and blockchain technology for secure data aggregation. Anticipated challenges that may arise in implementing this model in the future were also explored in this review study.</p></div>","PeriodicalId":100357,"journal":{"name":"Decision Analytics Journal","volume":"12 ","pages":"Article 100502"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772662224001061/pdfft?md5=7d8d793ea8cd137f12979c7693e88bba&pid=1-s2.0-S2772662224001061-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A systematic review of Digital Twins in efficient pandemic management with challenges and emerging trends\",\"authors\":\"Ettilla Mohiuddin Eumi\",\"doi\":\"10.1016/j.dajour.2024.100502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In recent years, Digital Twins (DTs) implementation has significantly impacted various sectors like industry, healthcare, engineering, and technology. However, the examination of these areas concerning pandemic management is still in its early stages. To bridge this gap, a systematic literature review was conducted here spanning from 2017 to March 2024, with a specific focus on COVID-19-related issues from 2020 to March 2024. Employing a five-step filtering process, nearly 10,000 articles were initially identified based on specific search strings. Subsequently, 297 publications were selected and examined across pre-pandemic, pandemic, and post-pandemic phases to discern emerging patterns, limitations, and future research directions. Drawing from these insights, a concept for a ‘Digital-Twin-based Smart Pandemic City’ was proposed, aiming to ensure contemporary amenities while preparing for potential pandemics by leveraging advanced cloud storage and blockchain technology for secure data aggregation. Anticipated challenges that may arise in implementing this model in the future were also explored in this review study.</p></div>\",\"PeriodicalId\":100357,\"journal\":{\"name\":\"Decision Analytics Journal\",\"volume\":\"12 \",\"pages\":\"Article 100502\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772662224001061/pdfft?md5=7d8d793ea8cd137f12979c7693e88bba&pid=1-s2.0-S2772662224001061-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Decision Analytics Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772662224001061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Analytics Journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772662224001061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

近年来,数字孪生(DTs)的实施对工业、医疗保健、工程和技术等各个领域产生了重大影响。然而,对这些领域有关大流行病管理的研究仍处于早期阶段。为了弥补这一差距,我们在此进行了一次系统的文献综述,时间跨度为 2017 年至 2024 年 3 月,重点关注 2020 年至 2024 年 3 月期间与 COVID-19 相关的问题。采用五步筛选流程,根据特定搜索字符串初步确定了近万篇文章。随后,筛选出 297 篇出版物,并在大流行前、大流行和大流行后三个阶段对其进行研究,以发现新出现的模式、局限性和未来的研究方向。根据这些见解,我们提出了 "基于数字双核的智能流行病城市 "概念,旨在通过利用先进的云存储和区块链技术进行安全数据汇总,在确保现代设施的同时为潜在的流行病做好准备。本审查研究还探讨了未来在实施这一模式时可能出现的预期挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic review of Digital Twins in efficient pandemic management with challenges and emerging trends

In recent years, Digital Twins (DTs) implementation has significantly impacted various sectors like industry, healthcare, engineering, and technology. However, the examination of these areas concerning pandemic management is still in its early stages. To bridge this gap, a systematic literature review was conducted here spanning from 2017 to March 2024, with a specific focus on COVID-19-related issues from 2020 to March 2024. Employing a five-step filtering process, nearly 10,000 articles were initially identified based on specific search strings. Subsequently, 297 publications were selected and examined across pre-pandemic, pandemic, and post-pandemic phases to discern emerging patterns, limitations, and future research directions. Drawing from these insights, a concept for a ‘Digital-Twin-based Smart Pandemic City’ was proposed, aiming to ensure contemporary amenities while preparing for potential pandemics by leveraging advanced cloud storage and blockchain technology for secure data aggregation. Anticipated challenges that may arise in implementing this model in the future were also explored in this review study.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.90
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信