Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

155
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
155
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

137
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
137

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Further improvement in London's air quality demands more than the Ultra Low Emission Zone policy.

NPJ clean air·2025
Same author

Preoperative prognostic assessment using intratumoral and peritumoral adipose tissue radiomics derived from contrast-enhanced CT in cT3-4 gastric cancer.

Frontiers in oncology·2025
Same author

TDP-43: unveiling the hidden key to cellular fate decisions.

Cell communication and signaling : CCS·2025
Same author

Structurally Confined Ni with Oxygen-Deficient CeO<sub>2</sub> for Efficient Self-Transfer Hydrogenolysis of Lignin into Jet Fuel Precursors.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

A Nanolasing-Based Sensor for Ultra-Sensitive Detection of Trace HSA in Artificial Urine.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Impact of neoadjuvant and adjuvant chemotherapy on breast cancer prognosis in a propensity score matched population.

Scientific reports·2025

相关实验视频

Updated: Jul 29, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.8K

一个基于游戏理论的COVID-19近距离接触检测方法与边缘计算协作合作.

Yue Shen1,2, Bowen Liu1, Xiaoyu Xia3

  • 1State Key Laboratory for Novel Software Technology, Nanjing University, China.

Computer communications
|May 26, 2023
PubMed
概括

本研究介绍了一种使用边缘计算的游戏理论方法,以有效地检测COVID-19密切接触者. 采用GCDM方法可以提高感染风险评估,同时保护用户隐私并尽量降低成本.

关键词:
在 COVID-19 疫情中,分散式的去中心化方法.边缘计算是一种边缘计算.游戏理论的游戏理论.

更多相关视频

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots
11:11

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots

Published on: February 11, 2022

4.6K
Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.2K

相关实验视频

Last Updated: Jul 29, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.8K
Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots
11:11

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots

Published on: February 11, 2022

4.6K
Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.2K

科学领域:

  • 计算机科学 计算机科学
  • 公共卫生 公共卫生
  • 网络安全 网络安全

背景情况:

  • 由于COVID-19的流行,需要有效的方法来识别密切接触者,以制传播.
  • 准确和及时评估感染风险仍然是一个重大挑战.
  • 传统方法在实时数据处理和隐私问题上扎.

研究的目的:

  • 通过游戏理论和边缘计算提出一种用于检测COVID-19密切接触者的新方法.
  • 提高感染风险评估的效率和隐私.
  • 为了解决接触追踪的计算和存储需求.

主要方法:

  • 开发了一种基于游戏理论的方法,称为GCDM (基于游戏理论的COVID-19密切接触检测方法).
  • 边缘计算协作已集成,以管理数据处理和存储.
  • 该方法利用用户的位置信息进行分散的检测.

主要成果:

  • 在游戏平衡时,GCDM方法最大限度地提高了近距离接触检测率.
  • 它最大限度地减少了去中心化系统中的评估延迟和成本.
  • 理论分析和广泛的实验证实了GCDM的性能优于现有方法.

结论:

  • GCDM为COVID-19近距离接触者检测提供了一种高效且保护隐私的解决方案.
  • 边缘计算有效地支持拟议方法的计算和存储需求.
  • 游戏理论框架确保了分散环境中的最佳性能.