Ryan White Program: City-Level
31 citiesWhat happens if Ryan White funding is interrupted or eliminated? Modeling impacts on HIV care outcomes across major US metropolitan areas.
Ann Intern Med, 2025
Johns Hopkins Bloomberg School of Public Health
JHEEM provides evidence for HIV policy decisions through calibrated mathematical modeling across US metropolitan areas and states.
Population dynamics
Disease progression modeled across 32 metros and 31 states
Scenario analysis
What-if modeling of funding changes and interventions
Time horizons
Projections from immediate impacts to 2040
Recent Finding
Our models project 12,700 additional HIV infections if CDC-funded testing programs end permanently across 18 states.
Interactive tools for exploring our modeling analyses. Each application corresponds to peer-reviewed or preprint research.
What happens if Ryan White funding is interrupted or eliminated? Modeling impacts on HIV care outcomes across major US metropolitan areas.
Ann Intern Med, 2025
Statewide projections of Ryan White funding disruption, providing jurisdictional insights for policy makers.
AJPH, 2026 · CROI, 2026
What is the epidemiological impact of ending CDC-funded testing? Modeling cessation and interruption scenarios.
medRxiv, 2025
How will the HIV population age over the next 15 years? State-level projections from 2025 to 2040.
Submitted
Peer-reviewed research using JHEEM
Forster RJ, Kasaie P, Schnure MC et al.
Annals of Internal Medicine
Ending the Ryan White HIV/AIDS Program could result in 75,436 additional HIV infections (95% CrI, 19,251 to 134,175) across 31 high-burden U.S. cities from 2025 to 2030—a 49% increase. Even temporary interruptions lasting 18-42 months would cause 19-38% more infections. The impact varies dramatically by city, from 9% increase in Riverside, CA to 110% in Baltimore, MD, highlighting the critical public health value of Ryan White services.
Zalesak A, Kasaie P, Schnure MC et al.
medRxiv (preprint)
Proposed cuts to Ryan White Parts C/D, Minority AIDS Initiative, and Ending the HIV Epidemic programs could result in 23,883 additional HIV infections (17.6% increase) across 30 states and DC from 2025 to 2030. The impact would be largest in states with high Ryan White dependency, with rural and underserved communities experiencing disproportionate effects.
Balasubramanian R, Kasaie P, Schnure MC et al.
medRxiv (preprint)
Ending CDC funding for HIV testing could result in 12,719 additional HIV infections (9.6% increase) across 18 states from 2025 to 2030. Testing reductions would delay HIV diagnoses by an average of 0.5-1.5 years, increasing onward transmission and worsening health outcomes, with disproportionate impacts in rural and underserved communities.
This research is supported by grants from the National Institute of Mental Health, the National Institute of Allergy and Infectious Diseases, and the National Institute on Minority Health and Health Disparities.
Computational Epidemiology Research Group
Advancing mathematical modeling for HIV prevention and control