Dr Aminath Shausan

Dr Aminath Shausan is a disease modeller and a data scientist working as a postdoctoral researcher at CSIRO. She completed a PhD in epidemic modelling using probability and statistics at the University of Queensland in 2015. She has experience working as a data scientist, biostatistician, and a Bayesian statistician in the field of disease modelling at various departments of the University of Queensland, and Queensland University of Technology, Australia. She has research experience in infectious diseases data modelling and public health informatics, including machine learning and large language modes. She is currently working on projects investigating antimicrobial resistance burden in Australia and the use of technology and machine learning methods to assist the public health response to infectious diseases, and links between social media use and health. She is the data manager of the antimicrobial surveillance and response program HOTspots (https://amr-hotspots.net)

Innovation Title:

Projecting future climate impact on influenza infection in Australia

Abstract:

A comprehensive climate-health forecasting model possesses the capacity to enhance the allocation of health care resources. I aim to investigate the relationship between annual Australian influenza rate and a variety of individual climate variables. A climate-health care projection model offering a comprehensive methodical framework on building estimates for future influenza rates was constructed.