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 language | English |
|---|---|
| Title of host publication | Trends in Biomathematics |
| Subtitle of host publication | Modeling, Optimization and Computational Problems: Selected works from the BIOMAT Consortium Lectures, Moscow 2017 |
| Publisher | Springer International Publishing |
| Pages | 121-137 |
| Number of pages | 17 |
| ISBN (Electronic) | 9783319910925 |
| ISBN (Print) | 9783319910918 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
-
SDG 5 Gender Equality
Fingerprint
Dive into the research topics of 'Optimal Resource Allocation for HIV Prevention and Control'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver