CDC WONDER & GBD Workshop
Why Choose CDC WONDER & GBD Workshop?
At Research Nexus, we offer a diverse range of programs designed to empower your research journey and align with your goals.
This course provides a practical introduction to public health data systems, focusing on CDC WONDER and the Global Burden of Disease (GBD) Study. Participants will learn how to extract, analyze, visualize, and interpret health data using modern research tools and basic R programming. The course also covers research development, scientific publication, and collaborative project work to help learners apply data-driven approaches in public health research and decision-making.
Module 1: Foundations of Public Health Data Systems
Introduction to Public Health Data Sources
- Overview of CDC WONDER and GBD
- Understanding their purpose, mission, and role in evidence-based decision-making
The Global Health Landscape
- Key epidemiological measures:
- Mortality
- Morbidity
- DALYs
- YLLs
- YLDs
- How GBD and CDC WONDER complement each other for comprehensive analysis
Module 2: Navigating CDC WONDER
System Overview and Interface
- Navigating the CDC WONDER platform
- Understanding databases:
- Mortality
- Natality
- Cancer incidence
- Other public health datasets
Building and Refining Queries
- Creating basic and advanced queries
- Applying filters:
- Age
- Race
- Gender
- Location
- Time period
- Understanding and applying age-adjusted rates
Data Export and Management
- Downloading datasets
- Formatting data for:
- Spreadsheets
- Statistical software
- Research analysis
Module 3: Understanding the Global Burden of Disease (GBD) Study
Introduction to the GBD Consortium
- What is GBD?
- Overview of the international research network
- Understanding the collaborative framework
- Introduction to the GBD modeling flowchart and methodology
GBD Metrics and Interpretation
- Deep dive into:
- DALYs
- YLLs
- YLDs
- Risk factors
- Analyzing:
- Patterns
- Disparities
- Population trends
- Sex-based and time-based comparisons
Becoming a GBD Collaborator
- Registration and access to GBD resources
- Understanding training requirements
- Collaboration model and participation process
Module 4: Data Analysis & Visualization Tools
GBD Data Exploration
- Hands-on training with the GBD Compare Tool
- Using the GBD Results Tool for data extraction
CDC WONDER Visualization
- Creating:
- Charts
- Tables
- Maps
- Best practices for public health data presentation
Introduction to R Programming for Health Data
- Using R for CDC WONDER and GBD data analysis
- Basic data manipulation
- Data visualization and plotting in R
Module 5: From Analysis to Publication
Structuring Research Questions
- Developing research questions using CDC WONDER and GBD datasets
- Selecting meaningful and publishable topics
Targeting High-Impact Journals
- Converting analyses into research manuscripts
- Understanding journal requirements for database studies
Data Use Policies and Ethics
- Citation requirements for public health databases
- Ethical use of health data
- Addressing data quality concerns and limitations
Module 6: Advanced Workshop & Team Project
Collaborative Research Project
- Team-based research development
- Extracting and analyzing data using CDC WONDER and GBD tools
Scheduling and Team Management
- Task distribution among team members
- Developing a work plan for timely manuscript submission
Presentation of Findings
- Presenting results using data visualizations
- Peer review and feedback sessions
Module 6: Advanced Workshop & Team Project
Collaborative Research Project
- Team-based research development
- Extracting and analyzing data using CDC WONDER and GBD tools
Scheduling and Team Management
- Task distribution among team members
- Developing a work plan for timely manuscript submission
Presentation of Findings
- Presenting results using data visualizations
- Peer review and feedback sessions