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Optimal Resource Allocation for HIV Prevention and Control

  • Dmitry Gromov*
  • , Ingo Bulla
  • , Ethan O. Romero-Severson
  • *Corresponding author for this work
  • St. Petersburg State University
  • University of Greifswald
  • Los Alamos National Laboratory

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

When dealing with economically and socially significant infectious diseases, in particular AIDS and tuberculosis, the central problem is to optimally distribute the limited resources among different treatment and prophylaxis programs. The main difficulty in doing so is that while the individual-level effect of these interventions can be determined using controlled trials, their effectiveness as public health interventions cannot be ascertained with certainty. This is due to the fact that affected populations are different not only in terms of the disease transmission dynamics, but also in the efficacy of available instruments given a specific population structure. Identifying the optimal strategy of resource allocation must be based on a (dynamic) model of the underlying medical, biological, and social processes that captures the relevant features of the population.

Original languageEnglish
Title of host publicationTrends in Biomathematics
Subtitle of host publicationModeling, Optimization and Computational Problems: Selected works from the BIOMAT Consortium Lectures, Moscow 2017
PublisherSpringer International Publishing
Pages121-137
Number of pages17
ISBN (Electronic)9783319910925
ISBN (Print)9783319910918
DOIs
Publication statusPublished - 1 Jan 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

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