Thesis (Ph. D.)--University of Queensland, 2002. / Includes bibliographical references.

Thesis (Ph.D.)--University of Western Australia, 2006.

Thesis (Ph.D.)--Ohio University, November, 2005. / Includes bibliographical references (leaves 147-154)

The family Bunyaviridae is the largest known taxonomic group of arboviruses. Four of the five genera possess members which are responsible for serious human and livestock disease. The worldwide distribution of these viruses justify studies which will allow understanding of the replication and transcription cycles within permissive cells. The bunyaviruses have been shown to possess a tripartite single strand RNA genome of negative polarity. Replication is confined to the cytoplasm and the virion envelope is acquired when the genome ribonucleoproteins bud into the golgi. Virus release is presumed to be through exocytosis and ultimately cell lysis. The messenger RNA species of all five genera do not possess a poly-A tail of sufficient length to bind to an oligo(dT) cellulose column. This has made separation of viral transcripts from replicating RNAs difficult. In an effort to achieve this separation, infected cell extracts were centrifuged over 20-40% CsCl gradients which permitted replicating RNA structures to band at a density of 1.32 while cellular and viral mRNAs pellet. Recovery of viral transcripts from the CsCl pelleted RNA required synthesis of a cDNA copy of the virus genome to use as a probe. This was done by an unusual method which employs both genome and antigenomic RNA as templates for reverse transcriptase in a first strand synthesis reaction. Recombinant viral clones were then used in a hybrid selection scheme to recover virus mRNA from pelleted material. After recovery, the messages were visualized on acid urea agarose gels pH 3.5, or used to program an in vitro translation reaction. Using these methods, it was established that each genome segment codes for a single messenger RNA which is most likely capped, and that for at least the mid sized segment, proteins with molecular weights which exceed the coding capacity of the genome are translated from the single message.

Published work submitted to the Faculty of Medicine, University of the Witwatersrand, Johannesburg, for the degree Doctor of Science in Medicine. / Andrew Chakane 2018

Dissertation (Ph.D.)--University of South Florida, 2008. / Title from PDF of title page. Document formatted into pages; contains 719 pages. Includes vita. Includes bibliographical references.

Background: Mosquito-borne diseases are a growing concern for temperate regions including the northeastern US. There the two primary mosquito vectors, Cx. pipiens and Ae. albopictus are widespread, endemic circulation of West Nile virus causes sporadic outbreaks, and imported arboviruses such as dengue, chikungunya, and Zika are on the rise. With temperate mosquito-borne disease outbreaks likely to increase in frequency, it is critical to reduce mosquito populations in the northeastern US. Community-based source reduction is heralded as the most sustainable component of integrated mosquito management. Yet mosquitoes develop rapidly, requiring weekly maintenance of mosquito habitat. This is onerous and community commitment flags. The development of predictive models to inform focused vector-control efforts is therefore of great utility. Objectives and Methods: The overarching objective of this research is to make robust predictive modeling frameworks based on empirically derived relationships of the ecology and epidemiology of mosquito-borne disease systems in the northeastern US. We aim to quantify the relationships between local environmental and meteorological conditions and mosquito vectors. In Chapters 2 and 4 we use lengthy surveillance records to develop models and use model ensembles to generate predictions based on out-of-sample data. For chapter 3 we use more spatially refined data to investigate the influence of intra-urban heterogeneities and how climatic conditions influence mosquito populations across these defined differences. Results: In Chapter 2, we model and forecast WNV infection rates among mosquito vectors using meteorological and hydrological conditions. We show that real-time climate information can predict WNV Culex infection rates prior to when human risk is greatest. In Chapter 3, we link infrastructure degradation and vegetation patterns with Ae. albopictus infestation levels as well as the interactive effect of precipitation across these environmental conditions. In Chapter 4, we identify key land use characteristics and meteorological conditions associated with annual Ae. albopictus abundance. Further we use imported chikungunya cases to delineate areas of high arboviral importation and, in combination with areas of high Ae. albopictus abundance, areas at heightened risk for arboviral transmission. Conclusions: While temperate outbreaks are often self-limiting they may be increasing in frequency and severity. Due to the multitude of invasive vectors and arboviruses, vector control techniques that work for multiple mosquito species are likely more effective and sustainable. Here we build build empirical models that accurately predict mosquito dynamics before populations peak which is critical for vector control. We recommend integrating predictive modeling into mosquito management guidelines as this could focus valuable resources to when and where mosquito-borne transmission risk is greatest. Further we find social and ecological determinants of mosquito dynamics, supporting further study that combine socio-ecological processes into model frameworks.

Thesis (M.Sc. (Microbiology))--Mahidol University, 1984.

[Truncated abstract] Ross River virus (RRV) causes the most common arboviral disease in Australia, with approximately 5000 new cases reported each year, making this virus a major public health concern. The aim of this thesis was to link results from virological, pathogenesis and epidemiological studies to further define RRV disease in the south-west (SW) of Western Australia (WA), a region of endemic and epizootic RRV activity. A crosssectional seroprevalence study was used to show that 7.8 percent of SW communities were seropositive to RRV, comparable to other regions of Australia with similar temperate climates to the SW . . . RRV-specific IgM antibodies were found to persist for at least two years following RRV infection. A murine model was used to conclusively show differences in pathogenesis between RRV genotypes, the SW and northern-eastern (NE) genotypes, which are known to circulate throughout Australia. The SW genotype, unique to the SW of WA induced only poor neutralising antibody production and nonneutralising antibodies after the acute phase of infection. In comparison, the NE genotype which currently predominates in mosquito populations in the SW of WA, induced the most efficient neutralising antibody response and consequently produced the mildest disease in the mouse. These data in the mouse suggest that the infecting genotype will mostly likely influence disease outcome in humans and could at least partially explain why more severe and persistent disease has been reported from the SW of WA. Collectively, results from this thesis provide an important benchmark against which future investigations into BFV and RRV diseases can be measured.

Thesis (Ph.D.) - University of Queensland, 2004. / Program shared between two schools. Includes bibliography.