CDC Steven M. Teutsch Prevention Effectiveness Fellowship 2027: Apply for This Two-Year Public Health Fellowship

Are you a public health professional with a strong interest in health economics, decision science, disease modelling, and evidence-based public health policy? The Steven M. Teutsch Prevention Effectiveness Fellowship at the U.S. Centers for Disease Control and Prevention (CDC) offers an opportunity to contribute to public health research and analysis through a specialised two-year postdoctoral fellowship.

The fellowship focuses on developing and applying analytical approaches that help decision-makers understand public health challenges, assess interventions, allocate resources effectively, and strengthen health programmes. Fellows contribute analyses that support local, state, and national leaders in making informed decisions that improve public health outcomes.

Applications for the fellowship are open until January 8, 2027. Interested candidates should review the official application information to understand the programme’s eligibility requirements, application process, and supporting documentation before applying.

1. Overview of the CDC Steven M. Teutsch Prevention Effectiveness Fellowship

The Steven M. Teutsch Prevention Effectiveness Fellowship is a specialised postdoctoral training opportunity focused on the analytical and economic dimensions of public health. It is designed around the use of evidence, quantitative analysis, and decision-support methods to help address complex health challenges.

Public health leaders frequently face difficult decisions about how to prevent diseases, improve health services, prioritise interventions, and make the best use of limited resources. These decisions require more than an understanding of diseases and their effects. They also require reliable evidence about which interventions work, what they cost, how they affect different populations, and what outcomes can reasonably be expected.

This is where prevention effectiveness analysis becomes important.

By focusing on health economics, decision science, and disease modelling, the fellowship provides a professional environment in which specialised analytical expertise can contribute to practical public health decisions. Fellows undertake work that helps inform the development, evaluation, and improvement of public health programmes.

The programme is particularly relevant to individuals who want to apply technical and analytical knowledge to real-world health problems and contribute to decisions that affect communities and populations.

Key Fellowship Details

• Programme name: Steven M. Teutsch Prevention Effectiveness Fellowship
• Host institution: U.S. Centers for Disease Control and Prevention (CDC)
• Programme duration: Two years
• Fellowship type: Postdoctoral fellowship
• Main areas of focus: Health economics, decision science, disease modelling, and prevention effectiveness
• Primary purpose: To provide analyses that help public health leaders strengthen programmes and improve public health
• Decision-makers supported: Local, state, and national leaders
• Application deadline: January 8, 2027

Applicants should consult the official application page for the full programme description and confirmed requirements.

2. What Is the Purpose of the Prevention Effectiveness Fellowship?

Public health interventions are essential for preventing disease, protecting communities, and improving quality of life. However, public health agencies must regularly decide which interventions to prioritise, how to allocate available resources, and how to determine whether programmes are achieving their intended objectives.

The Prevention Effectiveness Fellowship focuses on the analytical work that supports these decisions.

Rather than considering public health challenges only in terms of disease prevalence or clinical outcomes, prevention effectiveness analysis can also examine the economic implications of interventions, the expected outcomes of different policy options, and the potential value of investing in particular prevention strategies.

The fellowship’s stated purpose is to develop analyses that help leaders strengthen public health programmes. Such analyses can support evidence-informed decisions by providing a clearer understanding of health challenges and the options available to address them.

The work is important because public health decisions can affect entire populations. Reliable analysis can help decision-makers identify promising approaches, assess competing priorities, and determine how programmes might be improved.

For professionals interested in the intersection of research, economics, data, and public health policy, this fellowship presents an opportunity to contribute to a field where analytical work can inform decisions with broad societal consequences.

3. Main Areas of Focus

The fellowship specifically highlights three major areas: health economics, decision science, and disease modelling. Each plays a distinct role in understanding public health challenges and informing effective responses.

A. Health Economics

Health economics examines how resources are used within healthcare and public health systems. It considers the relationship between the costs of health interventions, the outcomes they produce, and the choices decision-makers must make when resources are limited.

Public health agencies cannot necessarily fund every possible intervention at the same time. They therefore need evidence to help them compare alternatives and determine how to use available resources responsibly.

Health economics can contribute to this process by examining questions such as:

• What are the costs associated with a particular public health intervention?
• What health outcomes might an intervention produce?
• How do the costs and benefits of different approaches compare?
• Which factors should be considered when deciding whether to invest in a prevention programme?
• How can economic evidence support decisions about public health priorities?

These questions are important when public health agencies evaluate prevention strategies, consider programme expansion, or assess whether an existing intervention should be modified.

For example, when a health authority is considering two approaches to reducing the burden of a disease, economic analysis may help decision-makers compare the resources required for each approach and examine the outcomes associated with the available options.

Health economics does not replace other public health considerations. Instead, it provides an additional source of evidence that can help leaders make more informed decisions.

For fellows interested in applying economic reasoning to health policy, this area offers an opportunity to understand how financial, social, and health considerations interact in public health decision-making.

B. Decision Science

Decision science focuses on methods and frameworks that help people make informed choices when faced with uncertainty, competing priorities, or complex information.

Public health decision-makers often have to act in situations where evidence is incomplete, resources are constrained, or several possible interventions could produce different outcomes. Making sound decisions under these circumstances requires systematic analysis rather than relying solely on assumptions or intuition.

Decision science can help structure these decisions by identifying the available options, examining relevant evidence, considering uncertainty, and evaluating the potential consequences of different choices.

In public health, decision science may help address questions such as:

• Which intervention should receive priority?
• What are the potential consequences of choosing one strategy over another?
• How should uncertainty be considered when planning a public health response?
• Which outcomes matter most when evaluating different policy options?
• How can evidence be presented in a way that supports practical decisions?

By applying decision-science approaches, analysts can help public health leaders understand the trade-offs associated with different courses of action.

This is particularly valuable when decisions affect large populations or require coordination across several levels of government.

The fellowship’s emphasis on decision science makes it relevant to professionals interested in the process through which research and analytical findings inform policy, programme design, and public health planning.

C. Disease Modelling

Disease modelling uses mathematical, statistical, or computational approaches to represent aspects of disease transmission, progression, or impact. Depending on the model and the available evidence, it can help researchers examine possible scenarios and understand how different factors may influence public health outcomes.

Models can be useful when direct observation alone cannot answer all the questions that public health officials need to consider. They can help researchers explore potential outcomes under different assumptions and assess how changes in circumstances might affect a population.

Disease modelling may contribute to questions such as:

• How could a disease affect a population under different conditions?
• What might happen if a particular prevention strategy were introduced?
• How could alternative intervention strategies influence projected outcomes?
• What assumptions are important when estimating the potential impact of a public health response?
• How can modelling results inform planning and resource allocation?

For example, a model may be used to explore how different intervention scenarios could affect the future burden of a disease. Decision-makers can then consider those projections alongside other evidence when planning a response.

However, models are not predictions that should automatically be treated as certain. Their usefulness depends on the quality of the underlying data, the assumptions used, and the way their results are interpreted.

Disease modelling is therefore most useful when combined with careful analysis and an understanding of the public health context.

For researchers and professionals with quantitative backgrounds, this field offers a way to apply technical skills to questions that influence disease prevention and population health.

4. What Will Fellows Contribute to Public Health?

One of the central features of the Steven M. Teutsch Prevention Effectiveness Fellowship is its emphasis on producing analyses that help public health leaders strengthen programmes and improve public health.

The programme’s stated focus connects analytical work with practical decision-making. This is important because research has greater public value when its findings can inform how health programmes are designed, evaluated, prioritised, and improved.

The fellowship identifies three levels of leadership whose decisions may be supported by fellows’ analyses: local, state, and national leaders.

Supporting Local Public Health Leaders

Local public health authorities work closely with communities and often need to respond to health needs within particular geographical areas.

Analytical evidence can help local leaders understand the problems affecting their populations, assess available interventions, and make informed decisions about programme priorities.

Depending on the subject of the analysis, relevant questions may include which prevention strategies are appropriate for a particular population, how programmes can be evaluated, and what evidence is needed to improve local public health planning.

The fellowship’s focus on useful analysis is relevant to these needs because local decisions can have direct consequences for the communities served by public health programmes.

Supporting State-Level Public Health Decisions

State-level public health authorities may coordinate programmes across multiple local jurisdictions and populations.

Their decisions can involve broader planning, the allocation of resources across programmes, the evaluation of interventions, and the development of public health strategies.

Evidence informed by health economics, decision science, and disease modelling can help leaders compare approaches and understand the potential implications of different policy choices.

Such analysis can support efforts to strengthen programmes and ensure that decisions are informed by available evidence.

Supporting National Public Health Leadership

National-level public health decisions can influence policies, programmes, and priorities affecting large populations.

These decisions may require the consideration of extensive data, complex health challenges, competing priorities, and uncertainty about future outcomes.

Analytical work can help national leaders examine the evidence behind different strategies and better understand the potential effects of their choices.

By contributing to analyses that inform decisions at local, state, and national levels, fellows have the opportunity to participate in work connected to the broader goal of improving public health.

The precise projects, responsibilities, and placement arrangements available to fellows should be confirmed through the official programme information.

5. Why Is This Fellowship Important for Public Health Professionals?

Public health increasingly relies on the ability to interpret data, evaluate interventions, understand economic implications, and make decisions based on evidence.

Diseases and other public health challenges rarely exist in isolation. Their effects can be influenced by population characteristics, healthcare access, social and economic conditions, available resources, and the effectiveness of prevention strategies.

Addressing these challenges requires professionals who can combine technical expertise with an understanding of the decisions public health authorities must make.

The Steven M. Teutsch Prevention Effectiveness Fellowship focuses on analytical disciplines that can contribute to this work.

It Connects Research With Practical Decisions

Research findings do not automatically translate into better public health outcomes. Decision-makers need to understand what the findings mean, how reliable they are, and how they might be applied in practice.

The fellowship’s focus on providing analyses for public health leaders places emphasis on the connection between evidence and action.

This makes the programme relevant to professionals who want their analytical work to inform decisions beyond academic research alone.

It Emphasises Evidence-Based Public Health

Evidence-based public health involves using the best available information to guide decisions about health interventions and programmes.

Health economics, decision science, and disease modelling can each contribute to this process by answering different questions about costs, alternatives, uncertainty, and potential outcomes.

Together, these approaches can provide a more comprehensive foundation for public health planning.

It Focuses on Prevention

Preventing disease can reduce the burden that health problems place on individuals, families, communities, and health systems.

However, effective prevention requires careful planning, evaluation, and prioritisation.

Analytical approaches can help decision-makers assess prevention strategies and understand their possible effects. The fellowship’s emphasis on prevention effectiveness is therefore relevant to the broader goal of improving population health through informed public health action.

It Offers a Two-Year Postdoctoral Fellowship Structure

The programme is described as a two-year postdoctoral fellowship.

The two-year duration provides the overall timeframe for the fellowship, although applicants should consult the official programme information for details about its training structure, responsibilities, placement arrangements, and other requirements.

For eligible postdoctoral candidates, the fellowship may be worth considering as a focused opportunity to pursue work in prevention effectiveness and public health analysis.

6. Who Should Consider Applying?

The announcement identifies the Steven M. Teutsch Prevention Effectiveness Fellowship as a postdoctoral fellowship focused on health economics, decision science, and disease modelling.

It is therefore particularly relevant to individuals whose academic and professional interests align with these areas.

Potentially relevant backgrounds may include:

• Public health and population health.
• Health economics and health policy.
• Economics, particularly where it relates to health systems or public health interventions.
• Decision science and quantitative decision analysis.
• Epidemiology and disease modelling.
• Biostatistics and statistical analysis.
• Mathematical modelling or other quantitative disciplines relevant to public health research.

This list describes fields that may be relevant to the fellowship’s subject matter; it is not a confirmed list of eligible qualifications.

The announcement supplied for this article does not specify the exact degree requirements, eligible disciplines, citizenship or residency conditions, required experience, or other formal eligibility criteria.

Consequently, prospective applicants should not assume that a particular degree or professional background automatically qualifies them. Review the official application information to determine whether your qualifications and circumstances meet the programme’s requirements.

Is the Fellowship Suitable for Early-Career Professionals?

The fellowship is specifically described as a postdoctoral opportunity. This means it should be evaluated in the context of postdoctoral training rather than assumed to be an entry-level internship or a general opportunity for all graduates.

Candidates should check the official requirements to establish whether they must have completed a doctorate or another qualifying advanced degree, whether recent graduates can apply, and whether there are restrictions relating to the timing of degree completion.

These details are important because meeting the academic and professional eligibility criteria is a necessary first step before investing time in an application.

7. What Are the Benefits of Applying?

The supplied announcement confirms that the programme is a two-year postdoctoral fellowship dedicated to advancing health economics, decision science, and disease modelling, with fellows providing analyses that help public health leaders strengthen programmes and improve public health.

Based on these stated objectives, applicants can consider several areas of potential professional value.

A. Focused Experience in Prevention Effectiveness

The fellowship offers a dedicated opportunity to engage with prevention effectiveness as a specialised area of public health.

For candidates interested in how analytical evidence can help improve health programmes, this focus may be valuable in shaping their professional development.

B. Engagement With Health Economics

Health economics provides tools for examining the costs, outcomes, and resource implications of health interventions.

Exposure to work in this area may be relevant to professionals who want to understand how economic evidence contributes to public health planning and decision-making.

C. Engagement With Decision Science

Decision science offers approaches for evaluating alternatives and making informed choices under uncertainty.

For professionals interested in translating complex evidence into practical decisions, this area can provide a useful analytical perspective.

D. Engagement With Disease Modelling

Disease modelling can help researchers explore potential outcomes and assess possible intervention scenarios.

For candidates with relevant quantitative interests, work involving disease modelling may offer an opportunity to apply analytical methods to important public health questions.

E. Contribution to Public Health Programmes

The fellowship’s stated purpose is to provide analyses that help local, state, and national leaders strengthen programmes and improve public health.

This creates a direct connection between the programme’s analytical focus and the decisions made by public health authorities.

F. A Defined Two-Year Fellowship Period

The programme is structured as a two-year postdoctoral fellowship.

Candidates considering postdoctoral opportunities may find this defined duration useful when assessing how the fellowship could fit into their longer-term academic or professional plans.

Important Note About Fellowship Funding and Benefits

The supplied announcement does not specify whether the fellowship provides a salary or stipend, health insurance, relocation assistance, travel support, research funding, or other financial benefits.

It would therefore be inaccurate to describe the programme as fully funded or to promise specific financial benefits without confirmation from the official application information.

Applicants should verify the compensation arrangements, employment or appointment status, benefits, and any associated costs before applying.

8. How to Prepare a Strong Fellowship Application

The announcement directs interested candidates to the application link but does not provide a detailed list of required documents or application stages.

Applicants should therefore begin by reviewing the official information and confirming what is required.

The following preparation steps can help prospective candidates organise their application without assuming requirements that have not been confirmed.

Step 1: Read the Official Fellowship Information

Begin by reviewing the fellowship’s official application page.

Look for information about:

• Academic and professional eligibility.
• Required qualifications and fields of study.
• Application documents.
• Submission instructions.
• Application deadlines and time zones.
• Fellowship duration and responsibilities.
• Compensation and benefits, if provided.
• Any requirements concerning citizenship, work authorisation, or location.
• Contact details for programme enquiries.

If any important information is unclear, use the official contact channels identified by the programme to seek clarification.

Step 2: Assess Your Academic and Professional Background

Compare your qualifications and experience with the confirmed eligibility criteria.

Consider whether your education and professional interests align with the fellowship’s focus on prevention effectiveness, health economics, decision science, and disease modelling.

If you have experience in research, quantitative analysis, public health programmes, economic evaluation, epidemiology, or modelling, identify the aspects of that experience that are relevant to the fellowship.

Do not assume that experience in one of these areas guarantees eligibility. The formal criteria on the official application page should guide your decision.

Step 3: Understand the Fellowship’s Analytical Focus

Before applying, familiarise yourself with the three central subject areas.

For health economics, consider how costs, resources, and health outcomes influence intervention decisions.

For decision science, think about how evidence can help compare alternatives and manage uncertainty.

For disease modelling, consider how mathematical, statistical, or computational methods can be used to investigate disease-related questions.

A clear understanding of these areas can help you assess whether the fellowship aligns with your professional goals.

Step 4: Prepare the Required Application Documents

The supplied announcement does not list the documents applicants must submit. Check the official application page before preparing or requesting specific materials.

Depending on the confirmed requirements, an application for a postdoctoral fellowship may involve academic records, a curriculum vitae, references, research-related information, written statements, or other documentation. However, these should be treated only as possible examples until the programme confirms what is required.

Follow the official instructions carefully and ensure that each document meets the stated format and submission requirements.

Step 5: Explain Your Interest in Prevention Effectiveness

If the application asks you to describe your interests or professional goals, explain why the fellowship’s focus is relevant to your intended career direction.

You may wish to consider questions such as:

• Why are you interested in public health analysis?
• Which aspects of health economics, decision science, or disease modelling interest you most?
• What public health questions would you like to help address?
• How does the fellowship align with your academic or professional development?
• What experience or knowledge would you bring to the programme?

Your responses should accurately represent your background, interests, and experience. Follow any rules the programme provides about application writing and supporting materials.

Step 6: Check All Submission Instructions

Before submitting, review your application against the official checklist.

Confirm that the information is accurate, that the required documents are included, and that you have followed the specified submission method.

Where references, transcripts, or other supporting documents are required, allow sufficient time to obtain them.

Step 7: Submit Before the Deadline

The application deadline is January 8, 2027.

Do not wait until the final day to begin the application process. Allow enough time to resolve questions, prepare the required materials, and address any technical problems that may arise during submission.

The official application page should be consulted to confirm the applicable time zone and whether any additional deadline conditions apply.

9. Why Health Economics, Decision Science, and Disease Modelling Matter Today

The fellowship’s three areas of focus are connected by a shared objective: helping decision-makers use evidence to address public health challenges.

Although each field uses different methods, they can complement one another when public health agencies need to evaluate interventions, understand uncertainty, and decide how to strengthen programmes.

Combining Economic Evidence With Public Health Goals

Public health programmes operate within real-world resource constraints. Economic analysis can help decision-makers understand the financial implications of different interventions and consider how costs relate to expected outcomes.

This does not mean that decisions should be based on cost alone. Public health leaders may also need to consider equity, feasibility, disease burden, ethical responsibilities, and the needs of affected communities.

Economic evidence can contribute to a broader assessment of these considerations.

Making Decisions Under Uncertainty

Public health authorities frequently make decisions without having complete information about future events or the precise effects of every intervention.

Decision science can provide structured approaches for examining alternatives, identifying important uncertainties, and understanding the consequences of different choices.

These methods can help make the decision-making process more transparent and systematic.

Using Models to Explore Possible Outcomes

Disease models can help researchers investigate possible scenarios and estimate how different factors may influence health outcomes.

When used appropriately, models can contribute to planning and preparedness by helping decision-makers consider a range of possible circumstances.

However, modelling results must be interpreted carefully. Assumptions, data quality, and uncertainty all influence the conclusions that can reasonably be drawn.

Turning Analysis Into Better Programmes

The value of analysis lies not only in producing technical results but also in helping decision-makers understand what those results mean for public health programmes.

Analysts must be able to communicate findings clearly, explain limitations, and help decision-makers distinguish between what the evidence demonstrates and what remains uncertain.

The fellowship’s emphasis on providing analyses for public health leaders reflects the importance of connecting specialised analytical work with practical programme improvement.

10. Frequently Asked Questions About the CDC Steven M. Teutsch Prevention Effectiveness Fellowship

What is the Steven M. Teutsch Prevention Effectiveness Fellowship?

It is a two-year postdoctoral fellowship associated with the U.S. Centers for Disease Control and Prevention (CDC). It focuses on advancing health economics, decision science, and disease modelling, with fellows providing analyses to help public health leaders strengthen programmes and improve public health.

How long does the fellowship last?

The fellowship lasts two years, according to the supplied announcement.

What are the main areas of focus?

The three areas specifically identified in the announcement are:

1. Health economics.
2. Decision science.
3. Disease modelling.

These fields contribute different analytical approaches to understanding public health challenges and informing decisions about prevention and programme improvement.

What do fellows do?

The supplied announcement states that fellows provide analyses that help local, state, and national leaders strengthen programmes and improve public health. The precise assignments, day-to-day responsibilities, and placement arrangements should be confirmed through the official programme information.

Who is eligible to apply?

The announcement identifies the opportunity as a postdoctoral fellowship but does not provide the full eligibility criteria. Applicants should consult the official application page to confirm the required degree, eligible academic disciplines, experience, citizenship or residency conditions, and any other requirements.

Is the fellowship fully funded?

The supplied information does not confirm the fellowship’s salary, stipend, or other financial benefits. Applicants should review the official programme information for details about compensation, appointment arrangements, and any associated costs.

Is the fellowship open to international applicants?

The information provided for this article does not specify citizenship, residency, or work-authorisation requirements. International applicants should consult the official application page to determine whether they are eligible and whether additional conditions apply.

What is the application deadline?

The application deadline is January 8, 2027.

Applicants should check the official application page for the exact submission time and applicable time zone.

How can I apply?

Start by visiting the application link provided below. Read the official requirements carefully, confirm your eligibility, prepare the required documents, and follow the stated submission instructions.

Apply here

Where can I find more information?

The application link supplied in the announcement is the starting point for accessing further information about the fellowship and its application process.

11. Application Deadline and Important Information

Candidates interested in the Steven M. Teutsch Prevention Effectiveness Fellowship should take note of the following details:

• Application deadline: January 8, 2027.
• Duration: Two years.
• Programme level: Postdoctoral fellowship.
• Main areas of focus: Health economics, decision science, and disease modelling.
• Primary contribution: Providing analyses that help local, state, and national leaders strengthen programmes and improve public health.
• Application link: https://www.cdc.gov/pef/php/participants/index.html

Before applying, verify the complete eligibility criteria, required documentation, submission procedure, and financial arrangements through the official application information.

Do not rely solely on summaries or promotional announcements when making decisions about eligibility or preparing your application.

Conclusion

The CDC Steven M. Teutsch Prevention Effectiveness Fellowship offers a specialised two-year postdoctoral opportunity for individuals interested in using analytical methods to address public health challenges. With its focus on health economics, decision science, and disease modelling, the programme connects quantitative and evidence-based approaches with the practical decisions made by public health leaders.

Its central purpose is to provide analyses that help local, state, and national leaders strengthen programmes and improve public health. For professionals whose academic and career interests align with these areas, the fellowship may be worth exploring as a potential next step in their postdoctoral development.

However, prospective applicants should carefully review the official programme information before applying. The announcement supplied for this article does not specify the full eligibility requirements, application documents, or financial benefits, so these details must be confirmed directly with the programme.

The application deadline is January 8, 2027.

If you are interested in advancing public health through health economics, decision science, disease modelling, and prevention effectiveness, review the application requirements and determine whether your background meets the programme’s criteria.

Apply for the CDC Steven M. Teutsch Prevention Effectiveness Fellowship: https://www.cdc.gov/pef/php/participants/index.html