Recent Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance

Speaker: Pehui Qiu, PhD, Dean's Professor & Founding Chair of Biostatistics, University of Florida

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Statistical process control (SPC) charts are a fundamental statistical tool for sequential monitoring of data streams and have broad applications across many fields. In this talk, we discuss several recent SPC concepts and methods developed for two important healthcare applications. The first focuses on disease screening through sequential monitoring of disease-related risk factors, where underlying processes are dynamic, featuring time-varying distributions, serial correlation, and irregular observation times, rendering conventional SPC charts inapplicable and motivating new methodology. The second application addresses spatio-temporal disease surveillance, aiming to promptly detect outbreaks from data collected over time and space, and posing additional challenges due to seasonality, spatio-temporal dependence, and complex distributions. This talk provides an overview of SPC methods developed by our group to address these challenges in dynamic disease screening and spatio-temporal surveillance.


The Department of Epidemiology & Biostatistics welcomes all participants to our events. If you need a reasonable accommodation to participate in this event because of a disability, please contact Liz Buggs ([email protected]).