Moh Family Foundation Professor of Infectious Disease Epidemiology, Nuffield Department of Medicine
I am a Senior Group Leader in Pathogen Dynamics at the Big Data Institute, and Professor in the Nuffield Department of Medicine. I am interested in studying the population dynamics and epidemiology of pathogens, and translating this knowledge to public health. The primary tools used in my group are mathematical modelling and pathogen genomics.
Trained in theoretical particle physics, I converted to mathematical biology after my PhD in 1998. I was Royal Society URF and then Professor in the Department of Infectious Disease Epidemiology at Imperial College before joining the BDI at Oxford in 2016.
Current topics of interest are: HIV virulence; HIV treatment as prevention; HIV genomics; pneumococcal genomics; antibiotic resistance; outbreak response; COVID-19 contact tracing apps, COVID-19 epidemic modelling, COVID-19 sequencing
Group webpage: https://www.bdi.ox.ac.uk/research/fraser-pathogen-dynamics-group
COVID-19 work: www.coronavirus-fraser-group.org
Current projects: BEEHIVE is cross-European study of HIV genomics and virulence amongst seroconverters. HPTN071 PopART is a cluster-randomized trial of HIV prevention including universal test and treat, in a population of 1.2 million people at high risk in Zambia and South Africa. PANGEA is a consortium mapping HIV-1 genomic diversity and linking to prevention modelling across sub-Saharan Africa. AMPHEUS aims to deliver an integrated platform for clinical microbiology, real-time epidemiology and intervention research to fight infectious pathogens in low income settings. The goal of ARTIC is to build an outbreak response system from sample collection to public health dashboards. Since January 2020 we have been active in the response against COVID-19.
I lead a friendly group of currently nine postdocs at various stages of their careers, a software developer, a project officer and a scientific manager. We are recruiting postdocs at regular intervals and can supervise PhD students from several PhD programmes at Oxford University. Please don't hesitate to get in touch if you are interested in joining the group or collaborating with us.
How to avoid a local epidemic becoming a global pandemic.
Stenseth NC. et al, (2023), Proceedings of the National Academy of Sciences of the United States of America, 120
Epidemiological impacts of the NHS COVID-19 app in England and Wales throughout its first year.
Kendall M. et al, (2023), Nat Commun, 14
Viral burdens are associated with age and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection related sampling bias
Fryer HR. et al, (2022)
Large-scale calibration and simulation of COVID-19 epidemiologic scenarios to support healthcare planning.
Groves-Kirkby N. et al, (2022), Epidemics, 42
The mutational spectrum of SARS-CoV-2 genomic and antigenomic RNA
Zhao L. et al, (2022), Proceedings of the Royal Society B: Biological Sciences, 289