Related Experiment Video
Updated: Nov 17, 2025
10:58
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
10.3K
Understanding data use and preference of data visualization for public health professionals: A qualitative study
Seungeun Park1, Betty Bekemeier2, Abraham D Flaxman3
1Department of Social and Preventive Medicine, School of Medicine, Sungkyunkwan University, Suwon, Korea.
Public Health Nursing (Boston, Mass.)
|February 11, 2021
Summary
Public health professionals utilize data for decision-making and communication. Enhancing data visualization tools can improve their understanding, stakeholder education, and program planning.
Area of Science:
- Public Health
- Health Informatics
- Data Science
Background:
- Public health professionals rely on data for community health assessment and program planning.
- Effective use of data, information, and evidence is crucial for informed decision-making in public health practice.
Purpose of the Study:
- To assess public health professionals' current data utilization practices.
- To understand perceptions and preferences for data visualization tools.
- To inform the future design of data visualization tools for public health.
Main Methods:
- Qualitative interviews were conducted with public health professionals.
- Participants were from state and local health departments across six states.
- Interviews focused on data use in decision-making, community health assessment, and program planning.
Main Results:
- Four key themes emerged: data collection, data management and analysis, data use in practice, and data visualization preferences.
- Public health professionals use diverse data resources for communication and decision-making.
- Identified needs for improved data visualization to support public health practice.
Conclusions:
- Data visualization tools can enhance understanding, communication, stakeholder education, and data-driven decision-making.
- Public health professionals recognize the value of data, information, and evidence.
- Adopting data visualization tools and addressing system challenges can support public health data use.
Keywords:
data visualizationdecision makinglocal health departmentpublic health professionalspublic health systemsMore Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
3.9K
08:25Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
Published on: December 6, 2024
667
Related Concept Videos
01:13Review and Preview
10.3K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.3K
01:07Bar Graph
20.7K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
20.7K
01:25Statistical Methods for Analyzing Epidemiological Data
712
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:
712
01:18Steps in Outbreak Investigation
330
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:
330
01:19Data: Types and Distribution
1.0K
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
Distributions in...
1.0K
01:12Statistical Software for Data Analysis and Clinical Trials
1.1K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.1K