Numerical optimal control for HIV prevention with dynamic budget allocation

Dmitry Gromov, Ingo Bulla, Oana Silvia Serea, Ethan O. Romero-Severson

Research output

3 Citations (Scopus)

Abstract

This article is about numerical control of HIV propagation. The contribution of the article 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.

Original languageEnglish
Pages (from-to)469-491
Number of pages23
JournalMathematical Medicine and Biology
Volume35
Issue number4
DOIs
Publication statusPublished - 5 Dec 2018

Scopus subject areas

  • Environmental Science(all)
  • Applied Mathematics
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Neuroscience(all)
  • Pharmacology
  • Modelling and Simulation

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