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

Pie Chart01:04

Pie Chart

14.7K
A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
14.7K
Pareto Chart00:52

Pareto Chart

7.0K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.0K
Multiple Bar Graph01:07

Multiple Bar Graph

8.1K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.1K
Time-Series Graph00:54

Time-Series Graph

4.6K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.6K
Interpreting R Charts01:22

Interpreting R Charts

120
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
120
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

566
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:
566

You might also read

Related Articles

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

Sort by
Same author

Meet NUM-ENRICH: A Collaborative National Effort to Extend and Harmonize Research Infrastructures Within the German Network University Medicine.

Studies in health technology and informatics·2026
Same author

From FAIR to CURE: guidelines for computational models of biological systems.

NPJ systems biology and applications·2026
Same author

Sex and Gender Differences in Chronic Kidney Disease-Explained by the Brenner-Luyckx Concept of Hyperfiltration.

Journal of clinical medicine·2026
Same author

Lessons learned from implementing FAIRification workflows in diabetes research in Germany.

PLOS digital health·2026
Same author

Applicability of Existing Gender Scores for German Clinical Research Data: Scoping Review and Data Mapping.

JMIR medical informatics·2026
Same author

Multicenter Evaluation of an Interoperable System for Automated Guideline Adherence Monitoring in ICUs.

Critical care medicine·2025
Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Sep 22, 2025

Visualizing Dengue Virus through Alexa Fluor Labeling
09:11

Visualizing Dengue Virus through Alexa Fluor Labeling

Published on: July 9, 2011

14.0K

CovidGraph: Integrating COVID-19 Data.

Ron Henkel1, Lea Guetebier1, Dagmar Waltemath1

  • 1Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald.

Studies in Health Technology and Informatics
|May 25, 2022
PubMed
Summary
This summary is machine-generated.

CovidGraph is a new platform for COVID-19 research, integrating diverse biomedical data. It offers a unified entry point for data-driven exploration to combat the pandemic.

Keywords:
COVID-19Computational Biology ModelsGraph DatabaseOntology

More Related Videos

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

5.0K
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

3.0K

Related Experiment Videos

Last Updated: Sep 22, 2025

Visualizing Dengue Virus through Alexa Fluor Labeling
09:11

Visualizing Dengue Virus through Alexa Fluor Labeling

Published on: July 9, 2011

14.0K
Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

5.0K
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

3.0K

Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Epidemiology

Background:

  • The COVID-19 pandemic necessitates integrated data for effective research.
  • Existing data sources are often siloed, hindering comprehensive analysis.

Purpose of the Study:

  • To introduce CovidGraph, a unified platform for COVID-19 research.
  • To facilitate data exploration across multiple biomedical domains.

Main Methods:

  • Development of a graph database to integrate diverse data.
  • Incorporation of publications, clinical trials, patents, case statistics, molecular data, and systems biology models.
  • Creation of multiple user interfaces for data exploration.

Main Results:

  • CovidGraph serves as a single point of entry for data-driven COVID-19 research.
  • The platform integrates heterogeneous biomedical data sources.

Conclusions:

  • CovidGraph enhances research capabilities for combating COVID-19.
  • The platform promotes collaborative and efficient data exploration.