Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama
About This Grant
PROJECT SUMMARY Alabama (AL), a priority state in the U.S. Ending the HIV Epidemic Initiative, requires substantial public health research to identify optimal HIV intervention strategies in support of greater HIV control. Among people living with HIV in AL, only 61% have achieved viral suppression in comparison to 65% for the U.S. average rate and far from the 2030 national goals of 90%. Better HIV control in AL can be achieved by leveraging public health data to identify and priority rank evidence-based interventions (EBIs) that are most effective and efficient. Particularly, mathematical modeling can be used to generate the evidence. Currently, the K01 candidate works with University of Alabama at Birmingham (UAB) investigators to implement a NIAID-funded R01 effectiveness-implementation trial evaluating three combination EBIs in the southwestern region of the state. While this trial will provide insight into clinical and implementation outcomes, it does not currently include plans to estimate the potential reduction in HIV incidence or impact of an expanded set of EBIs. Thus, the K01 candidate has an unmatched opportunity to embed mathematical modeling within this R01 trial and beyond, and engage with public health and other stakeholders in a participatory HIV epidemiologic modeling approach that will yield public health data that can guide state HIV intervention planning while advancing her career. Specific aims are: (1) To use mathematical modeling to determine the potential four-year impact of three EBIs to reduce HIV incidence (epidemiologic benefits) in the coastal region of AL. Guided by feedback from public health leaders and the R01 trial data, we will build a compartmental model to simulate the HIV epidemic in the coastal AL region and evaluate the three EBIs’ impact. Aim 2: To assess the impact of a) statewide scale-up of the three studied EBIs and b) expanded coverage to additional EBIs recommended by the Centers for Disease Control and Prevention (CDC). Guided by key informant interviews and focus group discussions with public health leaders, we will expand Aim 1 model to simulate the statewide HIV epidemic and evaluate the impact of selected EBIs from the CDC Compendium in reducing HIV incidence. Aim 3: To use participatory HIV modeling for the selection of optimal HIV intervention strategies for AL. We will conduct key informant interviews and focus group discussions with public health leaders using modeling findings from Aims 1 and 2. Through discussions we will inform public health leaders and facilitate consensus which will be followed by iteratively customizing analyses, yielding priority ranking of the EBIs for AL. By addressing the K01 aims, Dr. Nghiem will gain in-depth training and experience in participatory HIV epidemiologic modeling, including mathematical modeling, qualitative research, and dissemination science, positioning her to become an independently funded researcher.
Grant Summary
Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama is a NIMH - National Institute of Mental Health grant providing up to $186K for university, nonprofit, healthcare org. Applications are due 2031-07-31 (open). Check eligibility and apply with FindGrants.
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Focus Areas
Eligibility
How to Apply
Up to $186K
2031-07-31
- 1Confirm your organization is eligible for Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama 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.
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Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama: Frequently Asked Questions
Who is eligible for the Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama?
Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama 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 Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama provide?
Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama provides up to $186K 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 Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama deadline?
Applications for Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama 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 Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama?
To apply for Epidemiologic modeling to identify optimal evidence-based interventions to reduce HIV incidence in Alabama, 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.