During 2007 the UK experienced outbreaks of three notifiable exotic livestock diseases; Foot and Mouth Disease (FMD), Highly Pathogenic Avian Influenza (HPAI) and bluetongue. Large epidemics of any of these diseases would have a serious impact on animal welfare, farming, food production and the economy. In light of this, understanding holdings which are most likely to acquire and spread infection and being able to identify areas at higher risk of an epidemic is valuable when preparing for and managing an epidemic. This thesis uses a spatial epidemiological framework and the detailed disease and demographic data from the 2001 Great Britain (GB) FMD epidemic to develop static models of the risk of FMD susceptibility and transmission. These models are used to develop maps of FMD risk. These methods are then applied to the outbreak of FMD in 2007. The inputs for this analysis comprised a set of data relating to the farms diagnosed with FMD and farms culled as part of the disease control measures. The cleaning of these data is described and data which were estimated relating to dates of infection and putative sources of infection are evaluated. The distribution of farm holdings and animals is taken from the June 2000 GB agricultural census, off-fields of farms in the agricultural census are recorded in other datasets and these have been identified and linked to census holdings. A model of holding level susceptibility is developed using both farm level variables and measures of animal numbers in the locality of the holding as well as the distance to the nearest farm infected before the ban on animal movements (seeds). The overall fit of the model was very good with an area under the Receiver Operator Characteristic (ROC) curve of 0.91. A further model was developed to describe the risk of FMD transmission. However, due to incompleteness of transmission data, this was a model of the risk of finding a subsequent Infected Premises (IP) within 3km of an IP. Risk factors were a combination of holding level variables and locality measures as well as data relevant to the infection, such as infectious period and the species initially infected. The area under the ROC curve for this model was 0.71, which is regarded as an acceptable fit. Geographical barriers to FMD transmission were investigated using a case-control methodology, linear barriers comprising rivers and railways had a significant protective effect with respect to disease transmission (odds ratio = 0.54, 95% CIs = 0.30,0.96, p=0.038). Modelled values for the transmission and susceptibility models were transformed to a raster surface in ESRI ArcMap for both the disease as it was seeded in the 2001 epidemic and a non-specific background risk surface independent of the distribution of seeds. A risk map generated for the outbreak of FMD in Surrey in August 2007 suggested that there was little risk of a large outbreak in Surrey. Potential disease introductions through livestock movements from Surrey into Scotland were identified and these suggested that if the disease were introduced into Scotland there was great danger of substantial local spread. These methods described in this thesis have been used to map risk of FMD and subsequently applied to inform the risk presented by a different outbreak of FMD. The study underlines the value of detailed data both disease and demographic, for epidemic management. Similar methods could and should be applied to other infectious diseases threats of livestock such as HPAI and bluetongue.

The dynamics of pathogen and host relationships relative to disease transmission in wildlife populations are important ecological processes to understand, particularly since spatial dynamics of disease can be driven by movement, behavior, and dispersal of animals. Chronic Wasting Disease (CWD) is an example of this important interface, where little is known regarding origin of the disease or routes of transmission. Surveillance data for CWD in free-ranging mule deer indicates that breeding-age male deer have 2-4 times higher prevalence rates than females or younger age males. In an effort to understand differences that might increase risk for exposure to CWD infective agents, I used GPS data to examine breeding behavior and home range sizes of mule 11 deer. GPS radiocollars were placed on adult (> 2 ½ years) males, females, and young ( < 2 ½ years) males. Data collected during the breeding season was used to infer visitation rates of males to females. Cluster analysis was used to separate data into periods of movement (spatio-temporal clusters) and non-movement. Females formed more spatio-temporal clusters and movement paths than males. However, males spent more time moving, had more long-term periods of movement, moved an estimated 1 km/day more than females, and had more tortuous movement paths. Male home ranges for winter, summer, and breeding seasons were also larger than those of females. Overall, data indicates that males may have an increased risk of exposure to CWD relative to females, because of larger movements and greater space use. These male behavioral differences may result in increased encounter rates with CWD infectious material through greater exposure in the environment to sources such as carcasses from infected animals, their excreta, or contaminated soils. Furthermore, during the breeding season increased male sociality, as suggested by increased movement rates and movement path tortuousity, combined with larger space use may further enhance direct contact with infected individuals and increase exposure to excreta sources such as feces and alimentary secretions due to licking and tending behaviors.

<p> Lung disease is the leading threat to human health worldwide. In particular, two threats are responsible for the majority of the pulmonary disease burden: infection and tobacco smoke exposure. Efforts to combat these diseases have been hampered by gaps in our understanding of the complex interactions between environmental threats and the host's own immune defences. Indeed, much of the pulmonary disease burden should be ascribed not to direct smoke-, virus-or bacteria-induced damage, but to maladaptive host defence responses against these threats. This is an understudied topic. Efforts to redress this deficiency have been hampered by the lack of available animal models. Thus, the present studies developed and examined models of Heterologous pulmonary infection, in which hosts must defend against two different infections, and of tobacco smoke exposure. In the first study, a critical role for MIP-2 driven pulmonary neutrophilia was elucidated in the pathology associated with bacterial superinfection of influenza virus infection. This study further demonstrated that the timing and sequence in which pathogens were encountered played important roles in determining the outcome of disease, and that viral and bacterial infections have different but long-lived impacts on alveolar macrophages. In the second study, it was determined that cigarette smoke exposure impacts host defence without exhausting T-or B-cells. Collectively, these studies have advanced our understanding of complex lung pathologies, and suggest an important role for the innate immune system in mediating such diseases. </p> / Thesis / Doctor of Philosophy (PhD)