About the Prevention Effectiveness Fellowship

Key points

  • 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 Analytics and Modeling Track.
  • The fellowship builds CDC's ability to assess the effectiveness of public health interventions and evidence-based decision-making.
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Opportunities & Updates

Fellowship Application: Traditional Track and Analytics and Modeling Track

The application periods for both tracks are closed. Check back in September 2024 for the next opportunity.


The CDC 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 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.

What is prevention effectiveness? ‎

Prevention effectiveness uses econometrics, decision science, simulation, operations analysis and modeling. The purpose is to understand determinants of health; morbidity and mortality; health inequalities and disparities; the cost of public health services and preventive interventions; the burden of illnesses; impact of regulations on population health; and ways to optimize resources for public health.

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 the Analytics and Modeling Track at What Fellows Do.

Did you know?‎

The PE Fellowship is the largest two-year post-doctoral training program of its kind in the U.S. It recruits the vast majority of economists and disease modelers at CDC. Along with many other contributions to public health, PE fellows and alumni have published an estimated 5,000 papers in peer-reviewed journals in 30 years.