dc.description.abstract | Fishing communities (FCs) in Uganda have a greater HIV burden relative to other high-risk groups
and the general population (GP). As a result of the very high HIV-1 incidence rates, they have
been hypothesized to act as potential reservoirs for new HIV-1 infections in the GP and as such,
they have become an important target population in planning effective epidemic control that is
aimed at controlling disease spread. However, there has been lack of enough evidence to prove
whether these hard-to-reach communities are indeed sources of HIV-1 transmission to the GP.
This was mainly due to an inadequate understanding of the inter-population viral transmission
dynamics between the FCs and other groups. Also, of interest in this study was the HIV-1 subtype
diversity in the FCs and the GP and how this compares to the viral genetic diversity in Uganda and
globally. This is because, the extensive genetic diversity of HIV has since the inception of the
AIDS epidemic played a key role in viral transmission and dissemination in populations and
continues to present challenges for vaccine development and molecular epidemiological
investigations. Furthermore, several studies done in Uganda have observed different rates of HIV
1 transmission between subtypes and different levels of clustering within identified HIV
transmission networks. The main objective of this research was to understand the HIV-1
transmission dynamics and viral genetic diversity in the FCs and determine how this group
contributes to the HIV epidemic in the GP.
This research was composed of four sub-studies. In the first sub study, a Bayesian phylogeographic
analysis was used to investigate the geospatial viral migration patterns between the FCs and the
neighbouring GP to determine the direction of viral transmission between the two populations.
This was a source-sink analysis that was aimed at determining whether the FCs were sources of or
sinks for HIV transmission in the GP. The major finding in this study was that the FCs were a sink
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for and not a source of HIV from the GP. In the second sub study, a larger HIV-1 nucleotide
sequence dataset (pol region) was analysed using a combination of both phylogenetic and
modeling techniques. The main goal of this study was to understand the underlying HIV
transmission network structure in the FCs and estimate parameters that influence network
formation. Major findings showed that the underlying network structure in the FCs was scale-free
and shaped by preferential attachment in contrast to the GP. In the third substudy, a novel agent
based model was implemented in the R programming language to simulate and assess the impact
of targeted combination interventions (TCIs) in the FCs and other high-risk groups on HIV-1
incidence in the GP. Major findings from this study showed that targeted interventions in the FCs
would not directly result in a reduction in the number of new HIV infections in the GP. The fourth
substudy aimed at determining the HIV subtype diversity in the FCs and the GP. Results based on
the HIV-1 pol gene revealed that Subtype A1 was the most prevalent strain in both the FCs and
the GP. Nonetheless, there was an increase in the prevalence of HIV-1 recombinant forms based
on near full-length viral genomes. In conclusion, findings from both the phylogenetic and
modelling studies revealed localized epidemics in the FCs of Lake Victoria with viral introductions
from the GP. The preferential attachment mechanism inferred from networks of FCs suggests that
epidemic control in that population could prove difficult without a prior understanding of the HIV
transmission dynamics. Model simulations found the GP and FSWs to be direct sources of HIV
infections to the FCs and GP respectively. However, although the FCs acted as transmission sinks
for HIV infections from the GP, they were found to play a key role as an indirect source of HIV
transmission through the female sex workers (FSWs) who act as a bridging population for viral
spread between the FCs and the GP. Targeted interventions in the FCs should therefore not negate
the roll out of preventative measures in the neighboring GP. Such interventions should be
implemented as early as possible in areas identified as hotspots for HIV-1 transmission. | en_US |