HIV-related

HIV-related optimizes geographical allocation of HIV program funding by applying a geographical optimization algorithm integrated into the Optima HIV model to minimize new HIV infections and HIV-related deaths.

Key Features:

• Geographical Optimization Algorithm: Extends allocative efficiency by incorporating geographical considerations and is integrated with the Optima HIV model.
• Three-Step Methodology: Implements calibration to each region, determination of optimal allocations across budget scenarios for each region, and optimization of budget levels under a fixed total budget constraint.
• Case Study Application: Applied to Ukraine, reallocating funding among three oblasts (Mykolayiv, Poltava, Zhytomyr) and reducing estimated HIV-related DALYs from 244,000 to 173,000 over 2016–2030.
• Comparative Advantage: Produces better health outcomes than region-specific allocations alone by enabling funds to be reallocated between regions based on relative effectiveness.
• Versatility in Application: Methodology can be adapted for other public health resource-allocation problems involving constrained budgets and competing interventions or diseases.

Scientific Applications:

• Health Economic Decision Making: Provides data to inform allocative efficiency and budget prioritization for HIV programs.
• Policy Formulation and Implementation: Informs geographic targeting and funding strategies to maximize health impact across regions.
• Resource Reallocation for Maximum Impact: Identifies reallocations of HIV program funding that reduce DALYs, new infections, and HIV-related deaths within a fixed total budget.

Methodology:

The method calibrates the Optima HIV model to each region, computes optimal allocations across multiple budget levels per region, and selects budget levels that minimize adverse health outcomes subject to a fixed total budget constraint.