The Univeristy of Melbourne The Royal Melbourne Hopspital

A joint venture between The University of Melbourne and The Royal Melbourne Hospital


Research Projects

Project: Investigating the household risk of group A Streptococcus infection

McVernon Group

​Group A Streptococcus (GAS) is a ubiquitous bacterium, responsible for multiple diseases. These diseases range from superficial skin and throat infections through to severe sequelae such as poststreptococcal glomerulonephritis and rheumatic heart disease. Households are often an important driver of the spread of communicable diseases, with contacts between household members usually more frequent and more intense than contacts occurring outside the household. This project involves a large linked dataset, encompassing emergency department presentations, hospital admissions, and deaths in Victoria and containing information on households. This project could involve a review of published studies examining household risk of group A Streptococcus infection; a descriptive analysis of the household data for all group A Streptococcus conditions in the dataset (scarlet fever, acute rheumatic fever, rheumatic heart disease, invasive GAS); and a longitudinal analysis of individuals who appear more that once in the dataset. 

Contact project supervisor for further
information and application enquiries

Project Supervisor

Dr Katherine Gibney 

Project Co-supervisor

Dr Trish Campbell 

Project availability
Master of Biomedical Science

McVernon Group

13 vacancies

Viral Infectious Diseases
Cross Cutting Disciplines

Professor Jodie McVernon is a physician with subspecialty qualifications in public health and vaccinology. She has extensive expertise in clinical vaccine trials, epidemiologic studies and mathematical modelling of infectious diseases, gained at the University of Oxford, Health Protection Agency London and the University of Melbourne. Her work focuses on the application of a range of cross-disciplinary methodological approaches, including mathematical and computational models, to synthesise insights from basic biology, epidemiological data and sociological research. These models advance understanding of the observed epidemiology of infectious diseases and inform understanding of optimal interventions for disease control.