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
Showing q-bio.PEShow all
3 papers · 1 filter
q-bio.PE2024★ 1 cited
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…
q-bio.PE2024
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…
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…