ArticlePloS one2018
Optimal allocation of HIV prevention funds for state health departments.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Becoming one with the community: a grounded theory-derived context-specific framework exploring AIDS service organization strategies for implementing pre-exposure prophylaxis outreach among African American populations.BMC health services research · 2025Article
- A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis.Healthcare analytics (New York, N.Y.) · 2025Article
- Estimating HIV incidence in Türkiye: results from two mathematical models.BMC infectious diseases · 2025Article
- Optimizing health resource allocation for improving timely HIV diagnosis in China.Journal of the International AIDS Society · 2024Article
- Optimal Allocation of Societal HIV Prevention Resources to Reduce HIV Incidence in the United States.American journal of public health · 2021Article
- Article
- Pre-Exposure Prophylaxis (PrEP) Awareness Is Low Among Heterosexual People of Color Who Might Benefit From PrEP in Philadelphia.Journal of primary care & community healthArticle
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo estimate the optimal allocation of Centers for Disease Control and Prevention (CDC) HIV prevention funds for health departments in 52 jurisdictions, incorporating Health Resources and Services Administration (HRSA) Ryan White HIV/AIDS Program funds, to improve outcomes along the HIV care continuum and prevent infections.
methodsUsing surveillance data from 2010 to 2012 and budgetary data from 2012, we divided the 52 health departments into 5 groups varying by number of persons living with diagnosed HIV (PLWDH), median annual CDC HIV prevention budget, and median annual HRSA expenditures supporting linkage to care, retention in care, and adherence to antiretroviral therapy. Using an optimization and a Bernoulli process model, we solved for the optimal CDC prevention budget allocation for each health department group. The optimal allocation distributed the funds across prevention interventions and populations at risk for HIV to prevent the greatest number of new HIV cases annually.
resultsBoth the HIV prevention interventions funded by the optimal allocation of CDC HIV prevention funds and the proportions of the budget allocated were similar across health department groups, particularly those representing the large majority of PLWDH. Consistently funded interventions included testing, partner services and linkage to care and interventions for men who have sex with men (MSM). Sensitivity analyses showed that the optimal allocation shifted when there were differences in transmission category proportions and progress along the HIV care continuum.
conclusionThe robustness of the results suggests that most health departments can use these analyses to guide the investment of CDC HIV prevention funds into strategies to prevent the most new cases of HIV.
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