Digital Health Journal Club: The Digital Health Revolution: AI's Role in the advancement of Public Health

Dr Amalie Dyda is an infectious disease epidemiologist and digital public health expert working as a teaching and research academic in the School of Public Health. In 2009 she completed a Master of Applied Epidemiology at the Australian National University, followed by a PhD investigating vaccine preventable diseases in adults at the University of New South Wales in 2017. Her role following her PhD was as the lead epidemiologist in the Digital Epidemiology team within the Australian Institute of Health and Innovation. She has experience working as a field epidemiologist in numerous health departments throughout Australia and has extensive research experience in infectious diseases and public health informatics. She is currently working on projects investigating 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.
 
Digital public health is transforming the way we approach population health. A number of real world examples will be discussed to highlight the core successes, challenges and lessons learned. Specific projects include using AI to combine data from multiple sources for improved predictions of increases in disease, examining the relationship between vaccine information on social media and local vaccine uptake and exploring the potential of machine learning to investigate factors associated with positive outcomes in patients with diabetes and heart disease.
 

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