• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

技术进步能否帮助缓解 COVID-19 大流行?综述。

Can technological advancements help to alleviate COVID-19 pandemic? a review.

机构信息

Dept. of Mechanical Engg., National Institute of Technology Calicut, Kerala 673601, India.

School of Materials Science and Engg., National Institute of Technology Calicut, Kerala 673601, India.

出版信息

J Biomed Inform. 2021 May;117:103787. doi: 10.1016/j.jbi.2021.103787. Epub 2021 Apr 20.

DOI:10.1016/j.jbi.2021.103787
PMID:33862231
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8056973/
Abstract

The COVID-19 pandemic is continuing, and the innovative and efficient contributions of the emerging modern technologies to the pandemic responses are too early and cannot be completely quantified at this moment. Digital technologies are not a final solution but are the tools that facilitate a quick and effective pandemic response. In accordance, mobile applications, robots and drones, social media platforms (such as search engines, Twitter, and Facebook), television, and associated technologies deployed in tackling the COVID-19 (SARS-CoV-2) outbreak are discussed adequately, emphasizing the current-state-of-art. A collective discussion on reported literature, press releases, and organizational claims are reviewed. This review addresses and highlights how these effective modern technological solutions can aid in healthcare (involving contact tracing, real-time isolation monitoring/screening, disinfection, quarantine enforcement, syndromic surveillance, and mental health), communication (involving remote assistance, information sharing, and communication support), logistics, tourism, and hospitality. The study discusses the benefits of these digital technologies in curtailing the pandemic and 'how' the different sectors adapted to these in a shorter period. Social media and television's role in ensuring global connectivity and serving as a common platform to share authentic information among the general public were summarized. The World Health Organization and Governments' role globally in-line with the prevention of propagation of false news, spreading awareness, and diminishing the severity of the COVID-19 was discussed. Furthermore, this collective review is helpful to investigators, health departments, Government organizations, and policymakers alike to facilitate a quick and effective pandemic response.

摘要

新冠疫情仍在持续,新兴现代技术为疫情应对做出了创新且高效的贡献,目前这些贡献还无法完全量化。数字技术不是最终的解决方案,而是促进快速有效应对疫情的工具。因此,充分讨论了移动应用程序、机器人和无人机、社交媒体平台(如搜索引擎、Twitter 和 Facebook)、电视以及用于应对 COVID-19(SARS-CoV-2)爆发的相关技术,强调了目前的最新技术。本文还对报告文献、新闻稿和组织声明进行了集体讨论。本文综述了这些有效现代技术解决方案如何在医疗保健(包括接触者追踪、实时隔离监测/筛查、消毒、检疫执行、症状监测和心理健康)、通信(包括远程协助、信息共享和通信支持)、物流、旅游和酒店等领域提供帮助,并探讨了不同领域如何在更短的时间内适应这些技术。此外,本文还总结了社交媒体和电视在确保全球连接以及作为向公众分享真实信息的公共平台方面的作用。本文还讨论了世界卫生组织和各国政府在防止虚假新闻传播、提高认识和减轻 COVID-19 严重程度方面的作用。总的来说,本综述对调查人员、卫生部门、政府组织和政策制定者都有帮助,有助于快速有效地应对疫情。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/08e8990001c8/gr11_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/ee1f9acc78e0/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/65fcd14b5c8c/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/081f701859a7/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/0246c4947582/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/8f362167f1d0/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/35009d838ecb/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/193f6c90d982/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/5055527db344/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/6e6eca77827e/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/c83b6f4d4213/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/0513cee03dab/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/08e8990001c8/gr11_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/ee1f9acc78e0/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/65fcd14b5c8c/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/081f701859a7/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/0246c4947582/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/8f362167f1d0/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/35009d838ecb/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/193f6c90d982/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/5055527db344/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/6e6eca77827e/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/c83b6f4d4213/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/0513cee03dab/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421c/8056973/08e8990001c8/gr11_lrg.jpg

相似文献

1
Can technological advancements help to alleviate COVID-19 pandemic? a review.技术进步能否帮助缓解 COVID-19 大流行?综述。
J Biomed Inform. 2021 May;117:103787. doi: 10.1016/j.jbi.2021.103787. Epub 2021 Apr 20.
2
Digital Public Health Solutions in Response to the COVID-19 Pandemic: Comparative Analysis of Contact Tracing Solutions Deployed in Japan and Germany.数字公共卫生解决方案应对 COVID-19 大流行:日本和德国部署的接触者追踪解决方案的比较分析。
J Med Internet Res. 2023 Jun 14;25:e44966. doi: 10.2196/44966.
3
Digital contact tracing technologies in epidemics: a rapid review.数字接触追踪技术在传染病疫情中的应用:快速综述。
Cochrane Database Syst Rev. 2020 Aug 18;8(8):CD013699. doi: 10.1002/14651858.CD013699.
4
Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature.新冠疫情期间医疗保健领域数字技术的应用:早期科学文献的系统综述
J Med Internet Res. 2020 Nov 6;22(11):e22280. doi: 10.2196/22280.
5
Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data.新冠疫情期间中国社交媒体用户表达的担忧:对新浪微博数据的内容分析
J Med Internet Res. 2020 Nov 26;22(11):e22152. doi: 10.2196/22152.
6
Performance of the Swiss Digital Contact-Tracing App Over Various SARS-CoV-2 Pandemic Waves: Repeated Cross-sectional Analyses.瑞士数字化接触者追踪应用在不同 SARS-CoV-2 大流行波次中的表现:重复横断面分析。
JMIR Public Health Surveill. 2022 Nov 11;8(11):e41004. doi: 10.2196/41004.
7
Applications of digital technology in COVID-19 pandemic planning and response.数字技术在 COVID-19 大流行规划和应对中的应用。
Lancet Digit Health. 2020 Aug;2(8):e435-e440. doi: 10.1016/S2589-7500(20)30142-4. Epub 2020 Jun 29.
8
An overview of mobile applications (apps) to support the coronavirus disease 2019 response in India.移动应用程序(apps)在支持印度 2019 冠状病毒病应对方面的概述。
Indian J Med Res. 2020 May;151(5):468-473. doi: 10.4103/ijmr.IJMR_1200_20.
9
Understanding South Korea's Response to the COVID-19 Outbreak: A Real-Time Analysis.了解韩国应对 COVID-19 疫情的情况:实时分析。
Int J Environ Res Public Health. 2020 Dec 21;17(24):9571. doi: 10.3390/ijerph17249571.
10
The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study.沙特卫生部在 COVID-19 大流行期间的 Twitter 传播策略和公众参与:内容分析研究。
JMIR Public Health Surveill. 2021 Jul 12;7(7):e27942. doi: 10.2196/27942.

引用本文的文献

1
Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society.自动社交媒体信息混乱的映射。机器人和人工智能在社会传播误导性信息中的作用。
PLoS One. 2024 May 31;19(5):e0303183. doi: 10.1371/journal.pone.0303183. eCollection 2024.
2
A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care.基于信息通信技术的远程和自动 COVID-19 患者监测与护理的系统评价和知识图谱。
BMC Health Serv Res. 2023 Sep 30;23(1):1047. doi: 10.1186/s12913-023-10047-z.
3
A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic.

本文引用的文献

1
RETRACTED ARTICLE: Deep learning system to screen coronavirus disease 2019 pneumonia.撤稿文章:用于筛查2019冠状病毒病肺炎的深度学习系统。
Appl Intell (Dordr). 2023;53(4):4874. doi: 10.1007/s10489-020-01714-3. Epub 2020 Apr 22.
2
The relationship between social media use, stress symptoms and burden caused by coronavirus (Covid-19) in Germany and Italy: A cross-sectional and longitudinal investigation.德国和意大利社交媒体使用、压力症状与冠状病毒(Covid-19)所致负担之间的关系:一项横断面和纵向调查。
J Affect Disord Rep. 2021 Jan;3:100067. doi: 10.1016/j.jadr.2020.100067. Epub 2021 Jan 2.
3
Fake news and COVID-19: modelling the predictors of fake news sharing among social media users.
对可用于在新冠疫情期间改善医疗保健绩效的先进技术的综述。
Procedia Comput Sci. 2023;217:205-216. doi: 10.1016/j.procs.2022.12.216. Epub 2023 Jan 13.
4
Impact of food safety supervision efficiency on preventing and controlling mass public crisis.食品安全监管效能对防范和控制群体性公共危机的影响。
Front Public Health. 2022 Dec 5;10:1052273. doi: 10.3389/fpubh.2022.1052273. eCollection 2022.
5
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients.基于神经符号集成学习的新冠肺炎患者危急状态早期预测。
Med Biol Eng Comput. 2022 Dec;60(12):3461-3474. doi: 10.1007/s11517-022-02674-1. Epub 2022 Oct 6.
6
Novel informatics approaches to COVID-19 Research: From methods to applications.新冠病毒研究的新型信息学方法:从方法到应用
J Biomed Inform. 2022 May;129:104028. doi: 10.1016/j.jbi.2022.104028. Epub 2022 Feb 16.
7
Intention-Based Critical Factors Affecting Willingness to Adopt Novel Coronavirus Prevention in Pakistan: Implications for Future Pandemics.基于意图的影响巴基斯坦民众接受新冠病毒预防意愿的关键因素:对未来大流行的启示。
Int J Environ Res Public Health. 2021 Jun 7;18(11):6167. doi: 10.3390/ijerph18116167.
假新闻与新冠疫情:社交媒体用户间假新闻分享预测因素的建模分析
Telemat Inform. 2021 Jan;56:101475. doi: 10.1016/j.tele.2020.101475. Epub 2020 Jul 30.
4
COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios.新冠病毒监测机器人:监测室内场景中的社交距离限制。
PLoS One. 2021 Dec 1;16(12):e0259713. doi: 10.1371/journal.pone.0259713. eCollection 2021.
5
A Review on the Mobile Applications Developed for COVID-19: An Exploratory Analysis.关于为 COVID-19 开发的移动应用程序的综述:探索性分析
IEEE Access. 2020 Aug 7;8:145601-145610. doi: 10.1109/ACCESS.2020.3015102. eCollection 2020.
6
Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation.错误信息对新冠疫情个体反应的影响以及应对错误信息灾难性后果的恢复力建议。
Prog Disaster Sci. 2020 Dec;8:100119. doi: 10.1016/j.pdisas.2020.100119. Epub 2020 Jul 21.
7
The role of social media in spreading panic among primary and secondary school students during the COVID-19 pandemic: An online questionnaire study from the Gaza Strip, Palestine.社交媒体在新冠疫情期间在中小学学生中传播恐慌方面的作用:来自巴勒斯坦加沙地带的一项在线问卷调查研究
Heliyon. 2020 Dec 21;6(12):e05807. doi: 10.1016/j.heliyon.2020.e05807. eCollection 2020 Dec.
8
COVID-19 humor in Jordanian social media: A socio-semiotic approach.约旦社交媒体上的新冠疫情幽默:一种社会符号学方法。
Heliyon. 2020 Dec 15;6(12):e05696. doi: 10.1016/j.heliyon.2020.e05696. eCollection 2020 Dec.
9
How loneliness is talked about in social media during COVID-19 pandemic: Text mining of 4,492 Twitter feeds.社交媒体在 COVID-19 大流行期间如何谈论孤独:对 4492 条 Twitter 推文的文本挖掘。
J Psychiatr Res. 2022 Jan;145:317-324. doi: 10.1016/j.jpsychires.2020.11.015. Epub 2020 Nov 7.
10
The impact of social ties and SARS memory on the public awareness of 2019 novel coronavirus (SARS-CoV-2) outbreak.社会关系和 SARS 记忆对公众对 2019 年新型冠状病毒(SARS-CoV-2)爆发的认识的影响。
Sci Rep. 2020 Oct 26;10(1):18241. doi: 10.1038/s41598-020-75318-9.