Time between events monitoring for syndromic surveillance
Speaker: David Evans
Affiliation: CSIRO
Abstract
Outbreaks of infectious diseases such as influenza often cause spikes in the demand for hospital beds and can lead to the cancellation of elective procedures. Early detection of these outbreaks can enable improved management of hospital resources. In this talk I will discuss a statistical process control method that aims to detect outbreaks early by monitoring the time between emergency department presentations. This method enables real-time outbreak detection, controls for temporal variation in the in-control time between presentations, and allows control of the false detection rate. I will also introduce a robust version of the method designed to detect a wide range of spikes in event frequency and illustrate how this method is effective in detecting disease outbreaks.
Bio
David is a data scientist at CSIRO’s Data61 where he contributes to research in several domains, including economics and biomedical informatics. He has a background in maths and economics, having studied both at UQ.
About Industry seminar series
The industry seminar series aims to better connect industry and academia by providing a forum for speakers from industry to present challenges and opportunities in industry, and their insights.
To recieve news on the seminar series, subscribe to the mailing list by joining with a UQ email address here, or by sending an empty message to maths-industry-seminar-join@lists.science.uq.edu.au.