Infectious Diseases and Modelling

We apply strengths in epidemiology and modelling to infectious disease issues of public health importance.

villa Centre

Centre of Epidemiology for Policy and Practice

contact_support Contact

Professor Kathryn Glass

Group Leader

Kathryn.glass@anu.edu.au

About

We apply multidisciplinary approaches to emerging issues in communicable diseases. We combine strengths in applied epidemiology with mathematical and spatial modelling to translate research findings into policy and practice.

Projects

Spatio-temporal modelling of infections associated with antibiotic use (e.g MRSA, Clostridium difficile)

Modelling spatio-temporal patterns of MRSA and C. difficile infection and its association with environmental and demographic factors

Status

Current

People

Associate Professor Aparna Lal

Ashwin Swaminathan
John ferguson

Surveillance and modelling of diseases at low prevalence

Status

Current

People

Assessing the risk of Salmonella associated with importation of beef

As part of a review of biosecurity risks for the import of beef to Australia, this project assesses the risks associated with Salmonella serotype Typhimurium DT104.

Status

Completed

People

Samantha Vilkins
Marta Hernandez-Jover

Mathematical modelling of Clostridium difficile

Understanding CDAD requires considering the effects of the interaction of C. difficile, its toxins, the human immune system, gut flora and antibiotics. Mathematical modelling of these factors can be used to confirm, support or generate new hypotheses.

Status

Completed

People

Tom Riley

Understanding the sources of Campylobacter in Australia

This collaborative project seeks to harness rapid advances in genomics, epidemiology and mathematical modelling to identify risks and reduce human illnesses from Campylobacter in Australia.

Status

Completed

People

Whole genome sequencing in Salmonella surveillance and control

This study will investigate the trends, burden and sources of Salmonella in Australia, as well as examine the public health implications of new Salmonella testing and typing technologies.