• Anthony Todd Fojo, Melissa Schnure, Parastu Kasaie, David W Dowdy, and Maunank Shah.
• Johns Hopkins University School of Medicine, Baltimore, Maryland (A.T.F., M.S.).
• Ann. Intern. Med. 2021 Nov 1; 174 (11): 154215531542-1553.

BackgroundThe Ending the HIV Epidemic (EHE) initiative aims to reduce incident HIV infections by 90% over a span of 10 years. The intensity of interventions needed to achieve this for local epidemics is unclear.ObjectiveTo estimate the effect of HIV interventions at the city level.DesignA compartmental model of city-level HIV transmission stratified by age, race, sex, and HIV risk factor was developed and calibrated.Setting32 priority metropolitan statistical areas (MSAs).PatientsSimulated populations in each MSA.InterventionCombinations of HIV testing and preexposure prophylaxis (PrEP) coverage among those at risk for HIV, plus viral suppression in persons with diagnosed HIV infection.MeasurementsThe primary outcome was the projected reduction in incident cases from 2020 to 2030.ResultsAbsent intervention, HIV incidence was projected to decrease by 19% across all 32 MSAs. Modest increases in testing (1.25-fold per year), PrEP coverage (5 percentage points), and viral suppression (10 percentage points) across the population could achieve reductions of 34% to 67% by 2030. Twenty-five percent PrEP coverage, testing twice a year on average, and 90% viral suppression among young Black and Hispanic men who have sex with men (MSM) achieved similar reductions (13% to 68%). Including all MSM and persons who inject drugs could reduce incidence by 48% to 90%. Thirteen of 32 MSAs could achieve greater than 90% reductions in HIV incidence with large-scale interventions that include heterosexuals. A web application with location-specific results is publicly available (www.jheem.org).LimitationThe COVID-19 pandemic was not represented.ConclusionLarge reductions in HIV incidence are achievable with substantial investment, but the EHE goals will be difficult to achieve in most locations. An interactive model that can help policymakers maximize the effect in their local environments is presented.Primary Funding SourceNational Institutes of Health.

15 keywords...

hide…