R01MD018539
Project Grant
Overview
Grant Description
Ending the HIV Epidemic in Rural America (EHE-RA): Local Interventions, Co-Epidemics, and Social Determinants - Summary:
Despite advances in treatment and prevention over the past decades, human immunodeficiency virus (HIV) imposes substantial burdens in the United States (US). US HIV infections are increasingly concentrated in southern states with a disproportionate number of rural infections, particularly among racial, ethnic, and sexual minorities.
Rural epidemics in these states are linked to high-intensity urban epidemics and driven by racial/ethnic disparities, poverty, inadequate insurance, limited access to healthcare, and housing insecurity. Additionally, the opioid epidemic disproportionately affects rural communities, increases HIV transmission, and hinders HIV control efforts.
The Ending the HIV Epidemic (EHE) initiative seeks to reduce HIV incidence by 90% over a decade. Ending the US HIV epidemic will require interventions tailored to local-level epidemic dynamics that address underlying drivers of transmission.
Mathematical models of HIV transmission are powerful tools to forecast epidemics and can provide evidence-based guidance on the optimal way to prioritize limited public health resources. However, these models have focused primarily on urban epidemics.
We have previously developed the Johns Hopkins Epidemiologic and Economic Model (JHEEM), a platform for modeling local HIV epidemics. Our objective is to generate projections of local HIV epidemics in states with a high rural burden of HIV to inform policy decisions by local health departments.
We will partner with health departments in three states where we have established relationships (Alabama, Louisiana, and Mississippi) to develop a suite of transmission models, based on JHEEM, that rigorously leverage local surveillance data to make projections of the HIV epidemic in each state.
In Aim 1, we will develop an integrated, statewide modeling approach that links rural and urban regions using mobility data. We will use the models to identify which combinations of HIV testing, pre-exposure prophylaxis (PrEP), and viral suppression - targeted to which demographic subgroups and geographic regions - will yield the greatest reductions in incidence and disparities.
In Aim 2, we will incorporate three social determinants of health: insurance, access to healthcare, and housing instability, and the racial and ethnic disparities in their distribution across the population. We will project the impact on HIV incidence and disparities of strategies that include both traditional HIV interventions and increase insurance, access to care, or stable housing.
In Aim 3, we will expand JHEEM to include the opioid epidemic and evaluate the potential reductions in HIV incidence achievable by strategies that combine harm reduction for opioid use disorder with HIV control interventions.
These aims will yield a comprehensive modeling framework that links traditional HIV interventions with underlying drivers of the epidemic in rural America. Our results will provide data-driven projections, tailored to the specific needs of states, to inform the effective deployment of public health resources in ending the HIV epidemic.
Despite advances in treatment and prevention over the past decades, human immunodeficiency virus (HIV) imposes substantial burdens in the United States (US). US HIV infections are increasingly concentrated in southern states with a disproportionate number of rural infections, particularly among racial, ethnic, and sexual minorities.
Rural epidemics in these states are linked to high-intensity urban epidemics and driven by racial/ethnic disparities, poverty, inadequate insurance, limited access to healthcare, and housing insecurity. Additionally, the opioid epidemic disproportionately affects rural communities, increases HIV transmission, and hinders HIV control efforts.
The Ending the HIV Epidemic (EHE) initiative seeks to reduce HIV incidence by 90% over a decade. Ending the US HIV epidemic will require interventions tailored to local-level epidemic dynamics that address underlying drivers of transmission.
Mathematical models of HIV transmission are powerful tools to forecast epidemics and can provide evidence-based guidance on the optimal way to prioritize limited public health resources. However, these models have focused primarily on urban epidemics.
We have previously developed the Johns Hopkins Epidemiologic and Economic Model (JHEEM), a platform for modeling local HIV epidemics. Our objective is to generate projections of local HIV epidemics in states with a high rural burden of HIV to inform policy decisions by local health departments.
We will partner with health departments in three states where we have established relationships (Alabama, Louisiana, and Mississippi) to develop a suite of transmission models, based on JHEEM, that rigorously leverage local surveillance data to make projections of the HIV epidemic in each state.
In Aim 1, we will develop an integrated, statewide modeling approach that links rural and urban regions using mobility data. We will use the models to identify which combinations of HIV testing, pre-exposure prophylaxis (PrEP), and viral suppression - targeted to which demographic subgroups and geographic regions - will yield the greatest reductions in incidence and disparities.
In Aim 2, we will incorporate three social determinants of health: insurance, access to healthcare, and housing instability, and the racial and ethnic disparities in their distribution across the population. We will project the impact on HIV incidence and disparities of strategies that include both traditional HIV interventions and increase insurance, access to care, or stable housing.
In Aim 3, we will expand JHEEM to include the opioid epidemic and evaluate the potential reductions in HIV incidence achievable by strategies that combine harm reduction for opioid use disorder with HIV control interventions.
These aims will yield a comprehensive modeling framework that links traditional HIV interventions with underlying drivers of the epidemic in rural America. Our results will provide data-driven projections, tailored to the specific needs of states, to inform the effective deployment of public health resources in ending the HIV epidemic.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Baltimore,
Maryland
212051832
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 378% from $826,191 to $3,952,756.
The Johns Hopkins University was awarded
Rural HIV Epidemic Solutions: Local Interventions & Social Determinants
Project Grant R01MD018539
worth $3,952,756
from National Institute for Minority Health and Health Disparities in September 2022 with work to be completed primarily in Baltimore Maryland United States.
The grant
has a duration of 4 years 8 months and
was awarded through assistance program 93.307 Minority Health and Health Disparities Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 6/22/26
Period of Performance
9/23/22
Start Date
5/31/27
End Date
Funding Split
$4.0M
Federal Obligation
$0.0
Non-Federal Obligation
$4.0M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01MD018539
Transaction History
Modifications to R01MD018539
Additional Detail
Award ID FAIN
R01MD018539
SAI Number
R01MD018539-2663969012
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NE00 NIH National Insitute on Minority Health and Healh Disparities
Funding Office
75NE00 NIH National Insitute on Minority Health and Healh Disparities
Awardee UEI
FTMTDMBR29C7
Awardee CAGE
5L406
Performance District
MD-07
Senators
Benjamin Cardin
Chris Van Hollen
Chris Van Hollen
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute on Minority Health and Health Disparities, National Institutes of Health, Health and Human Services (075-0897) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,308,799 | 100% |
Modified: 6/22/26