Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence
About This Grant
ABSTRACT Adolescent girls and young women (AGYW, age 15-24) in Africa face disproportionately high risks of HIV acquisition and unintended pregnancy. These risks are compounded by social and cultural challenges that hinder the uptake and retention of preventative care, including pre-exposure prophylaxis (PrEP). Despite PrEP's effectiveness, current uptake among AGYW is limited due to low awareness, cultural barriers, and dissatisfaction with existing PrEP modalities. Newer biomedical HIV prevention options, such as long-acting injectables, hold promise, but their real-world impact remains uncertain due to low awareness, gaps in provision, and inattention to user needs. Ascertaining the scale of need for PrEP while concurrently centering user desires is critical for sustainable prevention efforts and for effectively addressing the burden of HIV faced by AGYW. My long-term objective is to develop an independent research career aimed at reducing the disproportionate burden of HIV on AGYW by bridging data and implementation science. This specific research seeks to address gaps in measuring unmet need for PrEP, project the impact of newer biomedical HIV prevention products on addressing that need, and develop targeted interventions to bridge the evidence-to-action gap. This innovative proposal is complemented by an integrated training plan that includes four training objectives (TO) supervised and supported by a distinguished mentorship team of experts in each of the respective areas: TO1) learning methods for sampling harder-to-reach populations, TO2) applied training in infectious disease modeling, TO3) gaining expertise in implementation science, and TO4) topical training in biomedical HIV prevention products. My project aims to rigorously quantify the unmet need for PrEP using Demographic and Health Survey data from 21 countries, specifically leveraging sexual behavior questions that parallel in-country PrEP eligibility criteria to conduct a proxy PrEP screening (Aim 1). I will use infectious disease modeling to model the impact of newer biomedical HIV products and estimate person-years of protection offered by each PrEP product among AGYW with unmet need (Aim 2). Aim 3 builds on the success of the previously evaluated Malkia Klabu intervention, which increased the distribution of sexual and reproductive health (SRH) and HIV prevention products through community drug shops. I propose to pilot an enhanced version that includes community-based promotion of PrEP demand, screening, and referrals. The pilot will evaluate the acceptability, feasibility, and appropriateness of the intervention among 100 AGYW across two pharmacies in Kisumu, Kenya. (Aim 3). Upon completion of the TOs and Aims, I will have the necessary training and preliminary data to conduct a scaled R01 to evaluate the PrEP-enhanced Malkia Klabu's impact on PrEP adoption, effective use, and persistence. This work will generate critical insights and establish a foundation for my independent research career, aiming to reduce the disproportionate burden of HIV and unintended pregnancy faced by AGYW via data and implementation science.
Grant Summary
Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence is a NIMH - National Institute of Mental Health grant providing up to $187K for university, nonprofit, healthcare org. Applications are due 2031-07-31 (open). Check eligibility and apply with FindGrants.
Not quite the right fit?
Search 9,000+ open grants, or get matches ranked for your organization — free.
Focus Areas
Eligibility
How to Apply
Up to $187K
2031-07-31
- 1Confirm your organization is eligible for Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence from NIMH - National Institute of Mental Health, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIMH - National Institute of Mental Health before the deadline.
Don't want to draft it yourself?
We'll draft the complete application against NIMH - National Institute of Mental Health's requirements, run a quality review, and email you a submission-ready PDF plus an editable Word doc within 5 business days. Most orders deliver in 24-48 hours. Flat $399, any grant size.
AI Requirement Analysis
Detailed requirements not yet analyzed
Have the NOFO? Paste it below for AI-powered requirement analysis.
Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence: Frequently Asked Questions
Who is eligible for the Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence?
Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence is offered by NIMH - National Institute of Mental Health and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence provide?
Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence provides up to $187K per award from NIMH - National Institute of Mental Health. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence deadline?
Applications for Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence are due 2031-07-31 (open). Because deadlines can change, verify the date with the funder, NIMH - National Institute of Mental Health, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence?
To apply for Leveraging Implementation and Data Science to Improve Health: Strategies for Reducing HIV Incidence, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIMH - National Institute of Mental Health.