Senior Group Leader in Pathogen Dynamics, Nuffield Department of Medicine
Christophe Fraser is Senior Group Leader in Pathogen Dynamics at the Big Data Institute, and Professor in the Nuffield Department of Medicine. Christophe is interested in studying the population dynamics and epidemiology of pathogens, and translating this knowledge to public health. The primary tools used by his group are mathematical modelling and pathogen genomics.
He trained in theoretical particle physics, and converted to mathematical biology after his PhD, in 1998. He was Royal Society URF and then Professor in the Department of Infectious Disease Epidemiology at Imperial College. He joined 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.
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. For MIDAS, we study the spread and dynamics of antibiotic resistance in Streptococcus pneumoniae in the USA. We have been involved in responses to outbreaks, such as SARS in 2003, H1N1pdm in 2009, and more recently MERS and Ebola.
Evolution of HIV-1 within untreated individuals and at the population scale in Uganda.
Raghwani J. et al, (2018), Plos pathogens, 14
HIV genotyping and phylogenetics in the HPTN 071 (PopART) study: validation of a high-throughput sequencing assay for viral load quantification, genotyping, resistance testing and high-resolution transmission networking
Bonsall D. et al, (2018), Journal of the international aids society, 21, 58 - 59
High prevalence fishing communities are not a major source of new HIV infections to the inland populations in Rakai District, Uganda: implications for geo-spatially targeted HIV prevention interventions
Ratmann O. et al, (2018), Journal of the international aids society, 21, 70 - 71
Mixing patterns of HIV transmission among men who have sex with men in the United Kingdom
Le Vu S. et al, (2018)
The evolution of antibiotic resistance in a structured host population.
Blanquart F. et al, (2018), Journal of the royal society, interface, 15