Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

222
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:
222
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

192
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...
192
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

568
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
568
Introduction to Epidemiology01:26

Introduction to Epidemiology

1.0K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.0K
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

173
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
173

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

DOSage of Exercise for chronic low back pain disorders (DOSE): protocol for a systematic review with dose-response network meta-analysis.

BMJ open sport & exercise medicine·2024
Same author

Design and test of controlling frequency circulating fan system in bulk curing barn.

Heliyon·2024
Same author

Dynamic-to-static switch of hydrogen bonds induces a metal-insulator transition in an organic-inorganic superlattice.

Nature chemistry·2024
Same author

In Reply: The Role of Pelvic Compensation in Sagittal Balance and Imbalance: The Impact of Pelvic Compensation on Spinal Alignment and Clinical Outcomes After Adult Spinal Deformity Surgery.

Neurosurgery·2024
Same author

Application of protein engineering to ene-reductase for the synthesis of chiral compounds through asymmetric reaction.

Critical reviews in biotechnology·2024
Same author

Simultaneous determination of sixteen phthalic acid esters (PAEs) in soil and evaluation of matrix effect using a QuEChERS/GC/MS-internal standard method.

Environmental science and pollution research international·2024
Same journal

Curvature on Graphs with Negative Edge Weights.

IEEE transactions on network science and engineering·2026
Same journal

Uncertainty Quantification of Network Inference with Data Sufficiency.

IEEE transactions on network science and engineering·2025
Same journal

A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons.

IEEE transactions on network science and engineering·2023
Same journal

Positively Correlated Samples Save Pooled Testing Costs.

IEEE transactions on network science and engineering·2022
Same journal

Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach.

IEEE transactions on network science and engineering·2022
Same journal

Constructions and Comparisons of Pooling Matrices for Pooled Testing of COVID-19.

IEEE transactions on network science and engineering·2022
See all related articles

Related Experiment Video

Updated: Sep 22, 2025

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.2K

Epidemic Risk Assessment by a Novel Communication Station Based Method.

Zhaoquan Gu1, Le Wang1, Xiaolong Chen1

  • 1Cyberspace Institute of Advanced Technology (CIAT)Guangzhou University Guangzhou 510006 China.

IEEE Transactions on Network Science and Engineering
|May 18, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for assessing COVID-19 risk using communication station data. It accurately measures individual epidemic risk for safe work resumption.

Keywords:
COVID-19communication station riskepidemic risk assessmentpersonnel risk

More Related Videos

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.3K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K

Related Experiment Videos

Last Updated: Sep 22, 2025

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.2K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.3K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K

Area of Science:

  • Epidemiology
  • Public Health
  • Data Science

Background:

  • The COVID-19 pandemic necessitates effective control measures for safe work resumption.
  • Current methods for assessing individual health conditions and travel history lack granular epidemic risk assessment.
  • There is a need for precise and efficient methods to evaluate epidemic risk.

Purpose of the Study:

  • To propose a novel method for fine-grained epidemic risk assessment.
  • To leverage granular data from communication stations for risk evaluation.
  • To enable accurate and efficient assessment of personnel epidemic risk.

Main Methods:

  • Computing epidemic risk for communication stations based on infected individuals and their transit patterns.
  • Calculating individual personnel risk by analyzing their station trajectory data over time.
  • Utilizing granular communication station data for risk assessment.

Main Results:

  • The proposed method accurately assesses individual epidemic risk.
  • Simulations demonstrate the effectiveness and efficiency of the developed risk assessment approach.
  • The method provides a granular understanding of epidemic risk based on movement data.

Conclusions:

  • The novel method offers a precise and efficient way to assess epidemic risk.
  • This approach supports safe work resumption by providing reliable risk evaluations.
  • Granular data analysis from communication stations is crucial for managing public health crises.