• 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

相似文献

1
New Ways to Manage Pandemics: Using Technologies in the Era of COVID-19: A Narrative Review.管理大流行的新方法:在新冠疫情时代运用技术:一项叙述性综述
Iran J Psychiatry. 2020 Jul;15(3):236-242. doi: 10.18502/ijps.v15i3.3816.
2
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic.工业4.0技术及其在抗击新冠疫情中的应用。
Diabetes Metab Syndr. 2020 Jul-Aug;14(4):419-422. doi: 10.1016/j.dsx.2020.04.032. Epub 2020 Apr 24.
3
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.
4
The Role of Digital Technology in Curbing COVID-19.数字技术在遏制 COVID-19 中的作用。
Int J Environ Res Public Health. 2022 Jul 7;19(14):8287. doi: 10.3390/ijerph19148287.
5
Building health service management workforce capacity in the era of health informatics and digital health - A scoping review.健康信息学与数字健康时代卫生服务管理劳动力能力建设——一项范围综述
Int J Med Inform. 2023 Jan;169:104909. doi: 10.1016/j.ijmedinf.2022.104909. Epub 2022 Nov 1.
6
COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalized medicine.新冠疫情:我们学到了什么?基于预测、预防和个性化医疗理念,社交机器和联网设备在疫情管理中的兴起。
EPMA J. 2020 Jul 30;11(3):311-332. doi: 10.1007/s13167-020-00218-x. eCollection 2020 Sep.
7
Implications of telehealth and digital care solutions during COVID-19 pandemic: a qualitative literature review.新冠疫情期间远程医疗和数字护理解决方案的影响:定性文献综述。
Inform Health Soc Care. 2021 Mar 2;46(1):68-83. doi: 10.1080/17538157.2020.1839467. Epub 2020 Nov 29.
8
Digital Technologies and the Role of Health Care Professionals: Scoping Review Exploring Nurses' Skills in the Digital Era and in the Light of the COVID-19 Pandemic.数字技术与医疗保健专业人员的角色:范围审查,探讨数字时代及新冠疫情背景下护士的技能
JMIR Nurs. 2022 Oct 4;5(1):e37631. doi: 10.2196/37631.
9
Digital capability: An essential nursing skill for proficiency in a post-COVID-19 world.数字能力:后 COVID-19 世界中精通护理的必备技能。
Int Nurs Rev. 2023 Sep;70(3):291-296. doi: 10.1111/inr.12839. Epub 2023 Mar 31.
10
Self-care Behaviors and Technology Used During COVID-19: Systematic Review.新冠疫情期间的自我护理行为与使用的技术:系统综述
JMIR Hum Factors. 2022 Jun 21;9(2):e35173. doi: 10.2196/35173.

引用本文的文献

1
Mental health preparedness and response to epidemics focusing on COVID-19 pandemic: a qualitative study in Iran.关注 COVID-19 大流行的精神卫生准备和应对:伊朗的一项定性研究。
BMC Public Health. 2024 Jul 24;24(1):1980. doi: 10.1186/s12889-024-19526-2.
2
Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review.新冠疫情期间数字监控的短期和长期预测及见证后果:范围综述。
JMIR Public Health Surveill. 2024 May 24;10:e47154. doi: 10.2196/47154.
3
An Overview of Reviews on the Effects of Acceptance and Commitment Therapy (ACT) on Depression and Anxiety.接纳与承诺疗法(ACT)对抑郁和焦虑影响的综述概述
Iran J Psychiatry. 2023 Apr;18(2):248-257. doi: 10.18502/ijps.v18i2.12373.
4
Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.COVID-19大流行期间数字技术在公共卫生监测中的应用:一项范围综述
Digit Health. 2023 May 17;9:20552076231173220. doi: 10.1177/20552076231173220. eCollection 2023 Jan-Dec.
5
Characteristics and specifications of dashboards developed for the COVID-19 pandemic: a scoping review.为应对新冠疫情而开发的仪表盘的特征与规范:一项范围综述
Z Gesundh Wiss. 2023 Feb 2:1-22. doi: 10.1007/s10389-023-01838-z.
6
Changes in psychological and cognitive variables as well as cortisol levels in recovered Covid-19 patients: a longitudinal study.新冠康复患者心理和认知变量以及皮质醇水平的变化:一项纵向研究。
Curr Psychol. 2023 Jan 25:1-10. doi: 10.1007/s12144-022-04211-7.
7
Sociocultural factors during COVID-19 pandemic: Information consumption on Twitter.新冠疫情期间的社会文化因素:推特上的信息消费
J Bus Res. 2022 Feb;140:384-393. doi: 10.1016/j.jbusres.2021.11.008. Epub 2021 Nov 11.
8
Room Size Influences Flow in Robotic-Assisted Surgery.手术室大小影响机器人辅助手术中的流动。
Int J Environ Res Public Health. 2021 Jul 28;18(15):7984. doi: 10.3390/ijerph18157984.
9
Making the COVID-19 Pandemic a Driver for Digital Health: Brazilian Strategies.将新冠疫情转变为数字健康的驱动力:巴西的策略。
JMIR Public Health Surveill. 2021 Jun 29;7(6):e28643. doi: 10.2196/28643.
10
Long-Term Social Human-Robot Interaction for Neurorehabilitation: Robots as a Tool to Support Gait Therapy in the Pandemic.用于神经康复的长期社交人机交互:机器人作为在大流行期间支持步态治疗的工具
Front Neurorobot. 2021 Feb 23;15:612034. doi: 10.3389/fnbot.2021.612034. eCollection 2021.

本文引用的文献

1
Challenges and opportunities for enhanced cognitive behaviour therapy (CBT-E) in light of COVID-19.鉴于新冠疫情,强化认知行为疗法(CBT-E)面临的挑战与机遇
Cogn Behav Therap. 2020 May 4;13:e14. doi: 10.1017/S1754470X20000161. eCollection 2020.
2
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks.使用X射线图像和深度卷积神经网络自动检测冠状病毒病(COVID-19)。
Pattern Anal Appl. 2021;24(3):1207-1220. doi: 10.1007/s10044-021-00984-y. Epub 2021 May 9.
3
An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19.一种综合药物重定位框架发现了一种针对 COVID-19 的潜在治疗药物。
Signal Transduct Target Ther. 2021 Apr 24;6(1):165. doi: 10.1038/s41392-021-00568-6.
4
The Role of Public Trust and Media in the Psychological and Behavioral Responses to the COVID-19 Pandemic.公众信任和媒体在对新冠疫情的心理及行为反应中的作用
Iran J Psychiatry. 2020 Jul;15(3):189-204. doi: 10.18502/ijps.v15i3.3811.
5
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.COVID-Net:一种针对胸部 X 光图像中 COVID-19 病例检测的定制化深度卷积神经网络设计。
Sci Rep. 2020 Nov 11;10(1):19549. doi: 10.1038/s41598-020-76550-z.
6
COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.利用反向疫苗学和机器学习设计 COVID-19 冠状病毒疫苗。
Front Immunol. 2020 Jul 3;11:1581. doi: 10.3389/fimmu.2020.01581. eCollection 2020.
7
COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown.COVID-19 疫情应对,评估意大利全国封锁后流动性变化的数据集。
Sci Data. 2020 Jul 8;7(1):230. doi: 10.1038/s41597-020-00575-2.
8
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.新冠病毒(Covid-19):利用卷积神经网络的迁移学习从 X 光图像中自动检测。
Phys Eng Sci Med. 2020 Jun;43(2):635-640. doi: 10.1007/s13246-020-00865-4. Epub 2020 Apr 3.
9
Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study.利用内在基因组特征进行机器学习,快速分类新型病原体:COVID-19 案例研究。
PLoS One. 2020 Apr 24;15(4):e0232391. doi: 10.1371/journal.pone.0232391. eCollection 2020.
10
Information Technology-Based Tracing Strategy in Response to COVID-19 in South Korea-Privacy Controversies.韩国应对新冠疫情的基于信息技术的追踪策略——隐私争议
JAMA. 2020 Jun 2;323(21):2129-2130. doi: 10.1001/jama.2020.6602.

管理大流行的新方法:在新冠疫情时代运用技术:一项叙述性综述

New Ways to Manage Pandemics: Using Technologies in the Era of COVID-19: A Narrative Review.

作者信息

Khaleghi Ali, Mohammadi Mohammad Reza, Pirzad Jahromi Gila, Zarafshan Hadi

机构信息

Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Neuroscience Research Centre, Baqiyatallah University of Medical Sciences, Tehran, Iran.

出版信息

Iran J Psychiatry. 2020 Jul;15(3):236-242. doi: 10.18502/ijps.v15i3.3816.

DOI:10.18502/ijps.v15i3.3816
PMID:33193772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7603586/
Abstract

Health care systems and professionals worldwide are relying on technology as an essential partner to manage the COVID-19 epidemic. This paper explains how digital technologies can benefit the public, medical workers, and health care systems. This nonsystematic literature review was conducted on different technologies and their impact and applications in the COVID-19 epidemic using proper search keywords on the PubMed, Google Scholar, and Science Direct databases. We found various helpful technologies, which can help us to appropriately contain and manage the COVID-19 pandemic through broad areas of clinical care, logistics, maintenance of socioeconomic activities, and inspection. However, main challenges still need to be addressed for obtaining the full capacities of the technologies to support health care systems. Technologies can offer many innovative ideas and solutions against global and local emergencies. In this time of great vagueness and danger, we require all the resources we can collect to rescue ourselves and our patients. Barriers and challenges, such as lack of technology proficiency, confidentiality requirements, and reimbursement matters, need to be recognized and resolved rapidly, accurately, and compassionately.

摘要

全球的医疗保健系统和专业人员都将技术视为应对新冠疫情的重要合作伙伴。本文阐述了数字技术如何使公众、医护人员和医疗保健系统受益。本非系统性文献综述通过在PubMed、谷歌学术和科学Direct数据库上使用适当的搜索关键词,对不同技术及其在新冠疫情中的影响和应用进行了研究。我们发现了各种有用的技术,这些技术可以通过临床护理、物流、社会经济活动的维持和检查等广泛领域,帮助我们妥善控制和管理新冠疫情。然而,要充分发挥这些技术支持医疗保健系统的能力,仍需应对一些主要挑战。技术可以针对全球和局部紧急情况提供许多创新理念和解决方案。在这个充满巨大不确定性和危险的时期,我们需要尽可能收集所有资源来拯救自己和我们的患者。必须迅速、准确且富有同情心地认识并解决诸如技术熟练程度不足、保密要求和报销问题等障碍和挑战。