4 papers
Learning relationships in epidemiological data using graph neural networks
Anthony J Wood, Aeron R Sanchez, Rowland R Kao
When designing control strategies for an infectious disease it is critical to identify the key pathways of transmission. Data on infected hosts - when they were born, where they li…
Machine learning augmented diagnostic testing to identify sources of variability in test performance
Christopher J. Banks, Aeron Sanchez, Vicki Stewart +5
Diagnostic tests that can detect pre-clinical or sub-clinical infection, are one of the most powerful tools in our armoury of weapons to control infectious diseases. Considerable e…
Improving wastewater-based epidemiology through strategic placement of samplers
Anthony J Wood, Jessica Enright, Aeron R Sanchez +2
Wastewater-based epidemiology (WBE) is a fast emerging method for passively monitoring diseases in a population. By measuring the concentrations of pathogenic materials in wastewat…
Using sequence data to study spatial scales of interactions driving spread of Highly Pathogenic Avian Influenza in Great Britain
Anna Gamża, Sam Lycett, Aeron Sanchez +1
H5N1 highly pathogenic avian influenza (HPAI) has been recently circulating in previously unseen patterns. As the underlying causes are uncertain, we need a better understanding of…