510 citations
- University of EdinburghGB26 papers
- Edinburgh GenomicsGB3 papers
- UK Astronomy Technology CentreGB3 papers
- University of BergenNO3 papers
- Biomathematics and Statistics ScotlandGB2 papers
- Curtin UniversityAU2 papers
- Heriot-Watt UniversityGB2 papers
- International Centre for Radio Astronomy ResearchAU2 papers
- Karolinska InstitutetSE2 papers
- McGill UniversityCA2 papers
- The Queen's Medical Research InstituteGB2 papers
- University of California, DavisUS2 papers
29 papers
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…
Infector characteristics exposed by spatial analysis of SARS-CoV-2 sequence and demographic data analysed at fine geographical scales
Anna Gamża, Samantha Lycett, Will Harvey +6
Characterising drivers of SARS-CoV-2 circulation is crucial for understanding COVID-19 because of the severity of control measures adopted during the pandemic. Whole genome sequenc…
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…
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…
Language statistics at different spatial, temporal, and grammatical scales
Fernanda Sánchez-Puig, Rogelio Lozano-Aranda, Dante Pérez-Méndez +5
Statistical linguistics has advanced considerably in recent decades as data has become available. This has allowed researchers to study how statistical properties of languages chan…
FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows
Sonia Natalie Mitchell, Andrew Lahiff, Nathan Cummings +35
Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changin…