Friday, July 18, 2025

4:00 PM - 5:00 PM

Grand Ballroom

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Overview

Real-time surveillance, taming the data beast

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Details

Real-time surveillance can mean many things. Typically, it refers to the capture and frequent analysis of data to signal aberrations in the frequency of disease or injury in a population, which could be indicative of a disease outbreak or other public health threat emerging. It can also refer to integration of big or multiple data sources, such as mining of the ‘twittersphere’, for surveillance, application of machine learning or artificial intelligence to the aberration detection problem, or outbreak detection from wearable devices. For the epidemiologist, the key challenges are converting non-curated data into a form that can be epidemiologically analysed, establishing automated, frequent analyses, identifying and dealing with false alarms, and translating signals into action. Based on their real-world and academic experience, epidemiologists Dr Stacey Rowe and A/Prof David Muscatello will give a broad introduction to real-time surveillance, including benefits, challenges and key design considerations.

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Speaker