The Univeristy of Melbourne The Royal Melbourne Hopspital

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


Research Projects

Project: Epidemiology of Scarlet Fever in Victoria

McVernon Group

Scarlet fever is a childhood infection caused by Streptococcus A that manifests as fever and widespread rash and is often associated with streptococcal pharyngitis (sore throat). It can sometimes lead to severe complications. In recent years, large scarlet fever outbreaks have occurred in many places, including England, Hong Kong and mainland China. There is evidence that scarlet fever numbers are increasing in Queensland, however there is no formal mechanism to monitor scarlet fever numbers in Australia (i.e. it is not a notifiable disease). This project involves a large linked dataset encompassing emergency department presentations, hospital admissions, and deaths in Victoria. This project could include review of published information regarding scarlet fever epidemiology in Australia; a longitudinal data analysis of scarlet fever epidemiology in Victoria; and assessment of the risk of invasive Strep A among individuals with scarlet fever and their household contacts.

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.