Brian M. Forde
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Articles (11)
Existing tools for phylogeographic and epidemiological visualisation primarily provide a macro-geographic view of epidemic and pandemic transmission events but offer little support for detailed investigation of outbreaks in healthcare settings. Here, we present HAIviz, an interactive web-based application designed for integrating and visualising genomic epidemiological information to improve the tracking of healthcare-associated infections (HAIs). HAIviz displays and links the outbreak timeline, building map, phylogenetic tree, patient bed movements, and transmission network on a single interactive dashboard. HAIviz has been developed for bacterial outbreak investigations but can be utilised for general epidemiological investigations focused on built environments for which visualisation to customised maps is required. This paper describes and demonstrates the application of HAIviz for HAI outbreak investigations.
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2024
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2023
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2023
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2022
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2022
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2022
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2022
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2022
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2022
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2022
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2022
Collaborators (10)
David Paterson
Professor
National University of Singapore (NUS)
Andrew Barnes
Associate professor
University of Queensland
LIDA OMALEKI
University of Queensland
Leah Wendy Roberts
Queensland University of Technology
Scott Beatson
Associate Professor
University of Queensland
Adam Irwin
Senior Lecturer in Paediatric Infectious Disease
University of Queensland
Matthew Sullivan
University of East Anglia
Patrick N. A. Harris
University of Queensland
Fekade B Sime
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Christopher McDevitt
Professor
University of Melbourne
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