Numerical optimal control for HIV prevention with dynamic budget allocation
It provides a new modeling and optimization approach for HIV prevention resource allocation, but the results are domain-specific and incremental.
The paper proposes a novel model of HIV propagation and applies numerical optimal control methods to compute optimal control profiles for HIV prevention, yielding practically relevant results for dynamic budget allocation.
This paper is about numerical control of HIV propagation. The contribution of the paper is threefold: first, a novel model of HIV propagation is proposed; second, the methods from numerical optimal control are successfully applied to the developed model to compute optimal control profiles; finally, the computed results are applied to the real problem yielding important and practically relevant results.