Simulating the End of AIDS in New York: Using Participatory Dynamic Modeling to Improve Implementation of the Ending the Epidemic Initiative. (July 2020)

• Record Type: Journal Article
• Authors: Martin, Erika G.; MacDonald, Roderick H.; Gordon, Daniel E.; Swain, Carol-Ann; O'Donnell, Travis; Helmeset, John; Dwicaksono, Adenantera; Tesoriero, James M.
• Other Names: Burton Deron C. guest-editor.; Dean Hazel D. guest-editor.; Mermin Jonathan H. guest-editor.
• Is Part Of: Public health reports. Volume 135(2020)Supplement 1
• Page Start: 158S
• Page End: 171S
• Publication Date: 2020-07
• Subjects: health policy -- HIV -- computer simulation -- preexposure prophylaxis; Public health -- United States -- Periodicals; 614.0973
• DOI: 10.1177/0033354920935069
• Languages: English
• ISSNs: 0033-3549

Abstract

Objectives: In 2014, the governor of New York announced the Ending the Epidemic (ETE) plan to reduce annual new HIV infections from 3000 to 750, achieve a first-ever decrease in HIV prevalence, and reduce AIDS progression by the end of 2020. The state health department undertook participatory simulation modeling to develop a baseline for comparing epidemic trends and feedback on ETE strategies. Methods: A dynamic compartmental model projected the individual and combined effects of 3 ETE initiatives: enhanced linkage to and retention in HIV treatment, increased preexposure prophylaxis (PrEP) among men who have sex with men, and expanded housing assistance. Data inputs for model calibration and low-, medium-, and high-implementation scenarios (stakeholders' rollout predictions, and lower and upper bounds) came from surveillance and program data through 2014, the literature, and expert judgment. Results: Without ETE (baseline scenario), new HIV infections would decline but remain >750, and HIV prevalence would continue to increase by 2020. Concurrently implementing the 3 programs would lower annual new HIV infections by 16.0%, 28.1%, and 45.7% compared with baseline in the low-, medium-, and high-implementation scenarios, respectively. In all concurrent implementation scenarios, although annual new HIV infections would remain >750, there would be fewer new HIV infections than deaths, yielding the first-ever decrease in HIV prevalence. PrEP and enhanced linkage and retention would confer the largest population-level changes. Conclusions: New York State will achieve 1 ETE benchmark under the most realistic (medium) implementation scenario. Findings facilitated framing of ETE goals and underscored the need to prioritize men who have sex with men and maintain ETE's multipronged approach, including other programs not modeled here.