Opportunity Information: Apply for CDC RFA PS 24 0028
The CDCs National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP) is offering a cooperative agreement to support work that improves how public health programs are designed and funded by using stronger epidemiologic and economic modeling, along with modern advanced analytics. The central purpose of the opportunity is to build and refine scientifically sound models of disease dynamics and program impact so that CDC and its federal, state, and local partners can make better decisions about which interventions to prioritize, how to target them, and how to allocate limited resources for the greatest public health benefit. While the title highlights HIV, viral hepatitis, STDs, and TB, the scope also explicitly includes adolescent health interventions and programs where modeling and analytics can inform prevention effectiveness.
The notice emphasizes that modeling has been a long-running part of NCHHSTPs strategy for program improvement, and that over roughly the last decade the Center has relied on extramural collaborations to strengthen the way data are used to evaluate efficiency, outcomes, population impact, and cost-effectiveness of policies and activities. Prior NCHHSTP-supported modeling efforts have helped shape practical public health decisions, including the development of guidelines, program strategies, needs assessments, and decisions about piloting, implementing, and scaling up interventions. This new funding round is meant to continue that trajectory by enhancing existing models that already support decision-making, producing tools and data products that help decision-makers rank and prioritize interventions, and making the tradeoffs in resource allocation clearer and more defensible.
A notable feature of the announcement is its explicit push beyond traditional modeling into advanced data analytics. The cooperative agreement is intended to expand use of predictive modeling approaches and methods such as machine learning and artificial intelligence, with the expectation that these techniques will be applied to real NCHHSTP-aligned public health priorities. In addition to method development and model enhancement, the announcement also anticipates the development and implementation of research tied directly to these modeling and analytics projects, with an applied focus on improving interventions and programs rather than purely theoretical work. The overall message is that valid, well-calibrated models can increase prevention effectiveness by helping CDC and partners anticipate disease trends, evaluate intervention scenarios, and understand which strategies deliver the largest health gains for the resources invested.
Administratively, this is a discretionary funding opportunity from the Centers for Disease Control and Prevention under NCHHSTP, using a cooperative agreement mechanism, which typically means substantial involvement and collaboration with CDC staff during the period of performance. The opportunity number is CDC RFA PS 24 0028, with CFDA 93.084. Eligibility is listed as unrestricted, so the applicant pool is broadly open rather than limited to a narrow set of institution types. The original application closing date was April 8, 2024. CDC expected to make 2 awards. The listing shows an award ceiling of 0, which usually indicates that the specific maximum funding amount was not provided in the summary field and applicants would need to consult the full announcement for detailed budget guidance, including any project period and funding range expectations.Apply for CDC RFA PS 24 0028
- The Centers for Disease Control - NCHHSTP in the health sector is offering a public funding opportunity titled "NCHHSTP Epidemiologic and Economic Modeling for HIV, Viral Hepatitis, STD, and TB" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.084.
- This funding opportunity was created on 2024-02-05.
- Applicants must submit their applications by 2024-04-08. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The number of recipients for this funding is limited to 2 candidate(s).
- Eligible applicants include: Unrestricted.
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Frequently Asked Questions (FAQs)
1) What is the main purpose of this CDC funding opportunity?
The purpose is to strengthen how public health programs are designed and funded by supporting the development and refinement of scientifically sound epidemiologic and economic models, along with modern advanced analytics. The goal is to help CDC and its federal, state, and local partners make better decisions about which interventions to prioritize, how to target them, and how to allocate limited resources for the greatest public health benefit.
2) Which CDC center is offering this cooperative agreement?
The opportunity is offered by the CDCs National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP).
3) What types of public health topics are in scope?
The title highlights HIV, viral hepatitis, sexually transmitted diseases (STDs), and tuberculosis (TB). The scope also explicitly includes adolescent health interventions and programs where modeling and analytics can inform prevention effectiveness.
4) What is being funded: new programs, research, or something else?
The emphasis is on applied work that improves decision-making through better modeling and analytics. This includes building and refining models of disease dynamics and program impact, enhancing existing models that already support decision-making, and producing tools and data products that help decision-makers rank and prioritize interventions and clarify resource allocation tradeoffs. The announcement also anticipates research tied directly to these modeling and analytics projects, with an applied focus on improving interventions and programs rather than purely theoretical work.
5) What does the announcement say about the role of modeling in NCHHSTP decision-making?
It describes modeling as a long-running part of NCHHSTPs strategy for program improvement. Over roughly the last decade, the Center has relied on extramural collaborations to strengthen how data are used to evaluate efficiency, outcomes, population impact, and cost-effectiveness of policies and activities.
6) What kinds of outcomes or decisions are these models expected to support?
The models are intended to support practical public health decisions such as developing guidelines, shaping program strategies, conducting needs assessments, and informing decisions about piloting, implementing, and scaling up interventions.
7) How does this opportunity build on previous NCHHSTP-supported modeling efforts?
This funding round is meant to continue prior work by enhancing existing models that already support decision-making, producing tools and data products that help rank and prioritize interventions, and making tradeoffs in resource allocation clearer and more defensible.
8) Does the opportunity include advanced analytics like machine learning or AI?
Yes. A notable feature is an explicit push beyond traditional modeling into advanced data analytics, including predictive modeling approaches and methods such as machine learning and artificial intelligence. These techniques are expected to be applied to real NCHHSTP-aligned public health priorities.
9) Is the focus more on theoretical methods or applied public health impact?
The focus is applied. In addition to method development and model enhancement, the announcement anticipates research tied directly to modeling and analytics projects, aimed at improving interventions and programs rather than producing purely theoretical work.
10) What kinds of benefits does CDC expect from valid, well-calibrated models?
The notice emphasizes that valid, well-calibrated models can increase prevention effectiveness by helping CDC and partners anticipate disease trends, evaluate intervention scenarios, and understand which strategies deliver the largest health gains for the resources invested.
11) What funding mechanism is being used?
This is a cooperative agreement. That typically means substantial involvement and collaboration with CDC staff during the period of performance, rather than a more hands-off relationship that is common in some other funding mechanisms.
12) Is this a discretionary funding opportunity?
Yes. The summary describes it as a discretionary funding opportunity from the Centers for Disease Control and Prevention under NCHHSTP.
13) What is the opportunity number and CFDA number?
The opportunity number is CDC RFA PS 24 0028, and the CFDA number is 93.084.
14) Who is eligible to apply?
Eligibility is listed as unrestricted, meaning the applicant pool is broadly open rather than limited to a narrow set of institution types.
15) When was the application closing date?
The original application closing date was April 8, 2024.
16) How many awards did CDC expect to make?
CDC expected to make 2 awards.
17) Is there a stated maximum award amount (award ceiling)?
The listing shows an award ceiling of 0. This usually indicates that the specific maximum funding amount was not provided in the summary field, and that applicants would need to consult the full announcement for detailed budget guidance, including any project period and funding range expectations.
18) What kinds of deliverables are implied by the description?
The description points to deliverables such as improved or enhanced models, predictive analytics approaches applied to NCHHSTP priorities, and tools and data products that help decision-makers compare, rank, and prioritize interventions while making resource allocation tradeoffs clearer.
19) Does the scope include evaluating cost-effectiveness and economic impacts?
Yes. The opportunity highlights stronger epidemiologic and economic modeling and notes prior and ongoing interest in evaluating efficiency, outcomes, population impact, and cost-effectiveness of policies and activities.
20) What is the overall intent for CDC and partner decision-makers?
The overall intent is to provide stronger evidence and decision support so CDC and its partners can prioritize interventions, target them more effectively, anticipate trends, test intervention scenarios, and allocate limited resources in ways that maximize public health benefit.
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