Annals of Internal Medicine2025

The Potential Impact of Ending the Ryan White HIV/AIDS Program on HIV Incidence: A Simulation Study in 31 U.S. Cities

Forster R, Schnure M, Jones J, Lesko C, Batey DS, Butler I, Ward D, Musgrove K, Althoff KN, Jain MK, Gebo KA, Dowdy DW, Shah M, Kasaie P, Fojo AT

If the Ryan White HIV/AIDS Program ends permanently, we project 75,436 additional HIV infections by 2030—a 49% increase across 31 U.S. metropolitan areas.

The Ryan White Program is the nation's largest HIV-specific care program, serving as the payer of last resort for over 500,000 people annually. With effective treatment, people with HIV live normal lifespans and cannot transmit the virus.

See also: State-level analysis of 11 states (companion study)

Policy Scenarios Modeled

We simulated three funding disruption scenarios to understand how different policy outcomes would affect HIV transmission.

18months

Brief Interruption

Funding gap followed by program restoration. Projected impact: +19% new infections by 2030.

42months

Prolonged Interruption

Extended gap before services resume. Projected impact: +38% new infections by 2030.

permanent

Complete Cessation

Program ends with no recovery. Projected impact: +49% (75,436 excess infections). City-level range: 9% to 110%.

Metropolitan Areas Studied

City-specific epidemic models capturing local patterns in HIV prevalence, care engagement, and Ryan White service utilization.

AtlantaBaltimoreBaton RougeBirminghamBostonCharlotteChicagoDallasDenverDetroitFort LauderdaleHoustonJacksonvilleLas VegasLos AngelesMemphisMiamiNew OrleansNew YorkNewarkOaklandOrlandoPhiladelphiaPhoenixRiversideSan AntonioSan DiegoSan FranciscoSan JuanTampaWashington DC

Full Citation

Forster R, et al. The Potential Impact of Ending the Ryan White HIV/AIDS Program on HIV Incidence: A Simulation Study in 31 U.S. Cities. Ann Intern Med. 2025. doi:10.7326/ANNALS-25-01737

Research Funding
& Institutional Support

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.

K08MH118094
K01AI138853
P30-AI094189
R01MD018539
JH

Johns Hopkins Bloomberg School of Public Health

Computational Epidemiology Research Group

Advancing mathematical modeling for HIV prevention and control