Key points
- The PE Fellowship is a competency-based program.
- Fellows can expect to perform research, write manuscripts, develop and deliver presentations and peer trainings, and participate in didactic training.
Opportunities & Updates
Fellowship Application: Traditional Track and Analytics and Modeling Track
What Fellows Learn
The PE Fellowship performance requirements and didactic training are competency-based.
Competencies
The PE Fellowship is a competency-based program. Competencies provide the framework for trainings, assignments, and activities fellows participate in while in the program and describe what the fellows should be able to do upon completion of the fellowship.
The competency domains for the Traditional Track are:
- Public Health Science and Practice
- Analytics and Assessment
- Policy Evaluation and Communication
- Interpersonal and Professional Communication
- Foundations of Leadership
The competency domains for the Analytics and Modeling Track are:
- Public Health Science and Practice
- Data Management for Modeling
- Model Construction and Analysis
- Interpretation and Presentation of Results
- Interpersonal and Professional Communication
- Foundations of Leadership
Performance requirements
Performance requirements are a core set of experiential work assignments that must be completed for the fellow to successfully graduate from the PE Fellowship.
PE fellows should complete the following performance requirements during the two-year fellowship:
- Develop two manuscripts suitable for publication
- Develop and deliver two professional presentations (one must be peer-reviewed)
- Develop and deliver two methods-based trainings
- Attend required didatic trainings
Fellows in the Analytics and Modeling Track are required to make additional, substantial contributions to the CDC models in terms of coding updating inputs, calibration, and validation.
Didatic activities
- Various Software Trainings (R, Python, NetLogo, Matlab, TreeAge)
- Seminars in Advanced Econometrics
- Seminars in Modeling Methods
- Data Visualization
- Machine Learning in Public Health
- Introduction to Program Project Management
- Person-Level Cost Effectiveness Analysis
- Microsimulation
- Other non-CDC trainings
How Fellows Serve
PE fellows participate in studies to assess the effectiveness of prevention strategies. Their research provides CDC, congress, and non-governmental agencies with vital information to maximize the impact of their public health programs.
PE fellows will also expand standardized methods and policies for assisting with economic studies and provide assistance with study design, data management, analysis, interpretation and dissemination of results, and policy formulation.
PE fellows routinely participate in the following activities:
- Collaborate within research teams composed of supervisor, team leads, mentors, and colleagues
- Participate in an Action Inquiry Group learning where fellows dialogue with each other, reflect on the learning and questions arising from their experiences
- Participate in the Health Economics Research Group (HERG) Seminar Series that provides a forum for presentations and discussions by scientists in the field, focusing on economics
- Participate in a Modeling Seminar Series that provides a forum for presentations and discussions by scientists in the field, focusing on infectious disease modeling and analytics
- Attend and participate in Applied Economic Evaluation Group presentations
- Attend CDC lectures provide a forum for CDC workforce to gain insight on public health issues affecting individuals within the United States and throughout the world
- Participate in fellow-led Diversity, Equity, Inclusion, Accessibility, and Belonging (DEIAB) discussion group
- Attend national scientific or professional conferences and have opportunities to present their research
- Serve as subject matter experts for economic and quantitative policy analysis within the assigned CDC program
PE fellows are often deployed to serve on public health responses such as Mpox, COVID, Zika, and Ebola.