dc.contributor.supervisor |
Kassa, Semu |
|
dc.contributor.author |
Mareka, Atamelang |
|
dc.date.accessioned |
2025-09-15T12:56:03Z |
|
dc.date.available |
2025-09-15T12:56:03Z |
|
dc.date.issued |
2023-01-31 |
|
dc.identifier.citation |
Mareka,A. (2023) Hierarchical Resource Allocation Procedures for HIV Prevention in Botswana. BIUST |
en_US |
dc.identifier.uri |
https://repository.biust.ac.bw/handle/123456789/675 |
|
dc.description |
Thesis (MSc of Mathematics and Statistical sciences)---Botswana International University of Science and Technology, 2023 |
en_US |
dc.description.abstract |
In the 1980s the world was hit by the HIV/AIDS pandemic which continues to claim a lot of
lives especially in Africa. While a lot has been done since its outbreak in an effort to have it
under control the need for funding continues to grow especially in developing countries. Due
to economic constraints, funds intended for HIV prevention in countries such as Botswana have
declined. In turn, challenges of finding an efficient way to allocate funds optimally emerged. This
study intends to first understand the dynamic of the infection of the disease in the population
of Botswana. Furthermore to analyse two resource allocation techniques commonly used, these
being the equity based model and the cost effectiveness analysis model, in comparison to a
mathematical model called hierarchical optimization allocation method. Cost effectiveness is
a type of economic analysis that assesses the cost and the outcome or benefit of a program.
Another resource allocation model which is commonly used is the equity-based criteria where
funds are proportionally allocated across states or districts in a country according to reported
cases. Optimization is a technique where the best possible solution is chosen from the available
or feasible set of solutions. The focus of this study is on the bi-level optimization where the
decision to get the best possible solution passes through two levels. The number of new infections
and HIV prevalence is used as a measure to compare the outcome of the investment. The results
in the study reveal that bi-level optimization is the best criteria to use to allocate resources as
it has proven to be more efficient in terms of reducing the HIV prevalence at a faster pace, it
is also more cost effective as compared to equity and CEA allocation methods. It was therefore
concluded that bi-level optimization is the recommended technique for allocating HIV prevention
resources and funds. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
BIUST |
en_US |
dc.subject |
HIV/AIDS pandemic |
en_US |
dc.subject |
Africa |
en_US |
dc.subject |
Equity based model |
en_US |
dc.subject |
Cost effectiveness analysis model |
en_US |
dc.subject |
Mathematical model |
en_US |
dc.subject |
Hierarchical optimization allocation |
en_US |
dc.subject |
Resource allocation model |
en_US |
dc.subject |
Equity-based criteria |
en_US |
dc.subject |
Optimization |
en_US |
dc.subject |
Bi-level optimization |
en_US |
dc.title |
Hierarchical Resource Allocation Procedures for HIV Prevention in Botswana |
en_US |
dc.description.level |
msc |
en_US |
dc.description.accessibility |
unrestricted |
en_US |
dc.description.department |
mss |
en_US |