Skip to main navigation Skip to search Skip to main content

Numerical optimal control for HIV prevention with dynamic budget allocation

  • Dmitry Gromov*
  • , I. Bulla
  • , O. Silvia Serea
  • , E. O. Romero-Severson
  • *Corresponding author for this work
  • St. Petersburg State University
  • Walther-Rathenau-Straße 47
  • Université de Perpignan
  • Los Alamos National Laboratory

Research output: Contribution to journalArticlepeer-review

14 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
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 5 - Gender Equality
    SDG 5 Gender Equality

Keywords

  • AIDS
  • HIV
  • numerical methods
  • optimal control
  • pre-exposure prophylaxis
  • resource allocation
  • treatment as prevention

Fingerprint

Dive into the research topics of 'Numerical optimal control for HIV prevention with dynamic budget allocation'. Together they form a unique fingerprint.

Cite this