Related Experiment Video
Updated: Jun 28, 2025
08:25
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
Published on: December 6, 2024
351
COVID-19 data visualization public welfare activity
Yiting Wang1, Ting Wang1, Ying Cui1
1Alicloud, China.
Visual Informatics
|April 15, 2024
Summary
This study highlights a data visualization initiative launched during the COVID-19 pandemic. It aimed to develop tools for public understanding and frontline support in combating the epidemic.
Area of Science:
- Data Science
- Public Health
- Computer Graphics
Background:
- The COVID-19 pandemic emerged in early 2020, necessitating rapid responses.
- A collaborative public welfare activity focused on epidemic data visualization was initiated.
- Key organizations involved included CCF CAD & CG Technical Committee, Alibaba Cloud Tianchi, JiqiZhixin, Alibaba Cloud DataV, and DataWhale.
Purpose of the Study:
- To engage developers in creating data visualization solutions for the COVID-19 pandemic.
- To address demand scenarios including epidemic display, popular science, trend prediction, and resource management.
- To foster the discovery of relationships within complex, multi-source data for public benefit.
Main Methods:
- Developers were tasked with creating data visualization entries.
- Entries were categorized into popular science publicity and application scenarios.
- Focus was placed on discovering insights from heterogeneous, multi-source data.
Main Results:
- The initiative generated diverse data visualization works.
- Popular science category focused on public-facing information about the epidemic.
- Application scenario category provided tools for frontline workers and institutions.
Conclusions:
- Data visualization proved effective in communicating complex epidemic information.
- The project supported public understanding and frontline anti-epidemic efforts.
- Collaborative data visualization initiatives can aid in public health crises.
Related Concept Videos
00:52Pareto Chart
6.7K
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...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
6.7K
01:04Pie Chart
14.1K
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...
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...
14.1K
01:26Principles of Disease Surveillance
94
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...
94
01:25Statistical Methods for Analyzing Epidemiological Data
364
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:
364
01:24Data Reporting and Recording
4.7K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.7K
01:18Healthcare Agencies I
728
Healthcare agencies provide healthcare services to people. In the United States, voluntary agencies are often non-profit centers sponsored by donations, grants, or fundraisers. One such organization is Meals on Wheels, which provides meals to the elderly and homebound. The American Heart Association and the American Lung Association are other non-profit community organizations. Doctors and nurses are frequently active members of these organizations, which offer health checks and educational...
728