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High-throughput genetic assays are commonly used to study the molecular basis of disease and such technology requires sophisticated data analysis methods that account for significant biological and experimental complexity. Specialized methods will be developed in free public software that will greatly benefit future genetic profiling studies.
Methamphetamine Clandestine Laboratories: An Analysis Of The Geo-spatial Dynamics Between Ecological Factors, Pharmacists, Pseudo-runners And Related Health Harms.
Funder
National Health and Medical Research Council
Funding Amount
$320,891.00
Summary
Methamphetamine (MA) manufacture in clandestine laboratories (clan labs) presents serious health and environmental risks beyond the impact on MA users. My fellowship seeks to better understand the interplay between the geography and population features of clan lab locations, the role of pharmacists and pseudo-runners in MA manufacture and MA-related harm. This evidence provides critical information for policy and program development aimed at reducing the MA manufacture and MA-related harm.
Better Statistical Methods To Discover Host Genetic Factors In Symptom Response To SARS-CoV-2 Infection
Funder
National Health and Medical Research Council
Funding Amount
$290,137.00
Summary
The COVID-19 pandemic has infected >5 million people worldwide. While the majority of infected individuals recover within a few weeks of infection, others develop severe forms, that in some cases prove fatal. To date, the causes of differences in symptom response are unknown. In this proposal, we seek to discover genetic factors that can contribute to explaining these differences. Our findings have the potential to inform the design and analysis of clinical trials for vaccines and treatments.
From Brain Maps To Mechanisms: Modeling The Pathophysiology Of Schizophrenia
Funder
National Health and Medical Research Council
Funding Amount
$320,891.00
Summary
My Fellowship will develop a framework that integrates brain imaging data with mathematical models of the brain to help understand the mechanisms responsible for schizophrenia. By linking functional Magnetic Resonance Imaging (fMRI) measurements to models of their underlying causes, the work may lead to new treatments that target the specific dysfunction in individuals with this debilitating brain disorder.
Integrating Health Technology Assessment And Service Delivery And Organisation To Maximise Health Gains
Funder
National Health and Medical Research Council
Funding Amount
$258,538.00
Summary
The public heath care system in Australia faces ever greater issues around demand (e.g. aging population) and supply (e.g. expensive new interventions). It is becoming ever more important to ensure that the money we spend on health is used efficiently. This study is a unique application that aims to improve the efficiency of the health service by assessing how scarce services can be best organised to maximise health benefits.
Mapping EQTL To Dissect The Genetic Basis Of Complex Trait Variation
Funder
National Health and Medical Research Council
Funding Amount
$719,525.00
Summary
People vary in traits such as height and blood pressure and in their susceptibility to common disease. Part of these differences between individuals is because of their genetic make-up. This research is about understanding which of the genes are involved in common variation and how they work. In particular, the researchers investigate if variation in DNA sequence causes genes to be expressed more or less and how gene expression affects risk of disease.
Building Research Capacity In Epidemiological Studies Of Chronic Disease And Injury
Funder
National Health and Medical Research Council
Funding Amount
$451,716.00
Summary
My vision is to build further capacity in epidemiological research to generate findings that directly inform chronic disease and injury prevention strategies. I will do this by: 1. leading epidemiological research designed to better understand the role and modification of risk factors for chronic disease and injury; 2. developing statistical methodology and tools for the analysis of categorical outcome data that commonly arise in epidemiological studies.
A Program Of Methodological And Collaborative Research In Biostatistics And Population Health
Funder
National Health and Medical Research Council
Funding Amount
$264,081.00
Summary
Biostatistics is a critical component of health and medical research, especially for studies in population health. However, there is an increasing gap between supply and demand for high-level biostatistical input. This proposal combines novel methodological research into methods for analysing incomplete data, with collaborative research applying new ideas and complex analyses to important health problems. The fellowship will facilitate my development as a future leader in this key area.
Finally New Tools Are Available To Combat Drug Resistant Tuberculosis, But How Do We Make Them Work? Models To Determine Effective Implementation Strategies In Australia And Our Region
Funder
National Health and Medical Research Council
Funding Amount
$1,562,250.00
Summary
The risk of drug resistance in tuberculosis (MDR TB) is thwarting control efforts and must be addressed. Potential strategies being considered are; treating MDR TB in the latent phase, using new short-course treatment for active TB and using new vaccines. My work develops simulation models to test strategies before they are implemented, to maximise impact and avoid costly or low-impact interventions. I will examine strategies in Australia and in high burden countries in Australia’s region.
I am investigating several areas relating to Paediatric surgery in particular the quality and coverage of paediatric surgical trials. The context for this study is to evaluate the current state of paediatric surgical research for methodological rigour, aiming to establish an evidence base and agenda for future trials to improve outcomes in paediatric surgery. The project will involve epidemiological methodology studies and systematic reviews, data linkage and analysis of existing study datasets.