Numerical optimal control for HIV prevention with dynamic budget allocation

TL;DR

This paper develops a new HIV propagation model and applies numerical optimal control methods to determine optimal prevention strategies, producing results with practical implications for resource allocation in HIV prevention.

Contribution

It introduces a novel HIV propagation model and demonstrates the application of numerical optimal control to derive effective prevention strategies.

Findings

Optimal control profiles for HIV prevention are successfully computed.

The model provides insights into effective resource allocation.

Results are practically relevant for real-world HIV prevention efforts.

Abstract

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.