Nicholas Grassly is a Professor in the Department for Infectious Disease Epidemiology. He is interested in the individual immune response to vaccination – particularly for enteric infections such as enteroviruses (including poliovirus) and rotavirus – and how this translates to impact at the population level. His research group conduct both laboratory and population studies, including clinical trials with collaborators in the UK, Zambia and India. A strength of his group is the development and use of rigorous statistical methods and mathematical models to analyse study data. His group is the WHO collaborating institute on polio data analysis and modelling.
He studied biology at Oxford University, trained in epidemiology at Imperial College London and learnt mathematics with the Open University. He was a Royal Society URF (2004-2011) and then Professor at Imperial College London (2011-present). He has served on various boards and committees, including the MRC Infections and Immunity Board (2012-16) and the WHO SAGE polio group (2008-2020). He teaches on the MSc (Epidemiology), MPH and undergraduate biomedical courses at Imperial College London. His work is funded by the MRC, Wellcome Trust, Royal Society, WHO and the Bill and Melinda Gates Foundation.
Current research topics: Epidemiology of polio eradication and endgame strategy; Rapid diagnostics and nanopore sequencing for poliovirus surveillance; Epidemiology and evolution of non-polio enteroviruses; causes of oral vaccine failure (rotavirus and poliovirus); Human infection challenge with live-attenuated vaccines; Typhoid epidemiology in India
et al., 2020, Comparison of molecular testing strategies for COVID-19 control: a mathematical modelling study, Lancet Infectious Diseases, Vol:20, ISSN:1473-3099, Pages:1381-1389
et al., 2020, A pilot study on use of live attenuated rotavirus vaccine (Rotarix (TM)) as an infection challenge model, Vaccine, Vol:38, ISSN:0264-410X, Pages:7357-7362
Shaw AG, Troman C, Grassly N, 2020, Rapid and sensitive direct detection and identification of poliovirus from stool and environmental surveillance samples using nanopore sequencing, Journal of Clinical Microbiology, Vol:58, ISSN:0095-1137, Pages:1-13
et al., 2020, Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe, Nature, Vol:584, ISSN:0028-0836, Pages:257-261
et al., 2020, Role of molecular testing in COVID-19 control: a mathematical modelling study, Lancet Infectious Diseases, ISSN:1473-3099