Key points
- The Class of 2027 fellowship application is open September 8, 2026, through January 8, 2027.
- CDC's Steven M. Teutsch Prevention Effectiveness (PE) Fellowship is a two-year post-doctoral research fellowship focusing on health economics, decision science, and disease modeling.
- This fellowship offers a Traditional Track and an Analytics and Modeling Track.
- The fellowship builds CDC's ability to assess effectiveness of public health interventions and evidence-based decision-making.
Overview
CDC's Steven M. Teutsch Prevention Effectiveness (PE) Fellowship is a two-year, post-doctoral, applied training fellowship. It addresses public health demand for quantitative policy analysis, health economics-based inquiry, integrative health services research, and rigorous decision modeling.
The Traditional Track is offered for economists and health services researchers. The Analytics and Modeling Track is intended for disease modelers, ecologists, operations researchers, industrial engineers, and applied mathematicians.
Since 1995, CDC has recruited and trained more than 300 effective decision scientists through the fellowship. With each new class, the PE Fellowship builds a cadre of scientists whose research provides vital information to decision makers. CDC, congress, and nongovernmental agencies use information on resource allocation to maximize the impact of public health programs.
Public health leaders need strong evidence to decide where to focus efforts and resources. PE fellows provide analyses that help local, state, and national leaders strengthen programs and improve public health.
Traditional Track
This track trains public health professionals to apply economic and program-evaluation methods to real-world questions, producing cost, cost-effectiveness, and burden-of-illness analyses that guide policy and resource decisions. Fellows receive hands-on mentorship at CDC, build quantitative and communication skills, and collaborate with public health partners to deliver decision-relevant evidence that improves program planning and policy. Learn more about this track at What Fellows Do.
Analytics and Modeling Track
In 2021, the PE Fellowship began offering the Analytics and Modeling Track to engage scientists with backgrounds in applied mathematics, operations research, applied epidemiology, evolutionary biology, and other disciplines.
Fellows in this track develop knowledge of modeling and related subjects such as mathematical modeling, analytical epidemiology, microsimulation, dynamic compartmental models, and network models. Learn more about this track at What Fellows Do.
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