This research quantifies years of life lost due to preventable injuries such as road traffic accidents, falls, and drowning. By identifying injuries with the greatest impact on premature mortality, it aims to guide public health policies toward targeted prevention strategies that save lives.

This research develops a risk-based model to prioritize gallbladder surgery for women with gallstones in high-risk regions. Using ultrasound and clinical data from Chilean women, the model predicts gallbladder cancer risk, enabling life-saving triage, earlier intervention for high-risk patients, and avoidance of unnecessary surgery.

This research uses linked provincial health data to measure the population burden of coeliac disease in Alberta. By identifying diagnosis rates, care gaps, and early-life risk factors, the work informs healthcare planning and policy. The findings highlight rising diagnoses in children and the long-term personal and economic impact of a lifelong, diet-based condition.

As urban living increases, access to green and blue spaces may play a crucial role in pregnancy health. This longitudinal PhD research uses anonymised health records to examine how nearby nature affects maternal mental health and birth outcomes, with evidence suggesting reduced pregnancy complications and important implications for urban planning and public health policy.

Marine-feeding vampire bats provide a novel way to track how viruses move between wildlife, livestock, and humans. By analysing their feeding history, researchers can trace cross-species disease transmission, including links between ocean-origin viruses and farm animals, offering early warning signs that could help prevent future pandemics.

This research improves disease mapping by using mixture modeling to capture sharp spatial differences in health risk. Unlike traditional models that assume smooth patterns, this approach better identifies high-risk areas, enabling more accurate resource allocation, improved public health policy, and reduced health inequalities during disease outbreaks.

This research evaluates electronic case reporting (ECR), an automated disease surveillance system that alerts public health agencies as soon as diagnoses are recorded. By analyzing surveillance data and clinician experiences, the work aims to improve outbreak detection speed, accuracy, and usability—helping public health respond earlier and save lives.

This research reveals Heterobilharzia americana as a widespread, underdiagnosed parasitic threat to dogs in the US Southwest. Testing showed nearly 25% infection rates, often linked to river exposure. The Drake Project raises awareness and seeks prevention strategies to protect dogs from this deadly waterborne parasite.

This research uses agent-based modelling (ABM) to simulate infectious disease spread in regions like Nigeria, enabling policymakers to predict outbreaks, test interventions, and allocate limited resources proactively. The low-cost modelling approach supports governments with constrained budgets and offers a sustainable, data-driven tool for preventing large-scale infections and improving global public health.