2 papers
cs.LG2024
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…
q-bio.PE2022
Modelling plausible scenarios for the Omicron SARS-CoV-2 variant from early-stage surveillance
Christopher J. Banks, Ewan Colman, Anthony Wood +2
We used a spatially explicit agent-based model of SARS-CoV-2 transmission combined with spatially fine-grained COVID-19 observation data from Public Health Scotland to investigate…