I serve as the liaison between the MRC Centre for Outbreak Analysis and Modelling and the World Health Organization. I am responsible for developing and co-ordinating projects to support WHO activities and departments including The Global Influenza Programme, The Initiative for Vaccine Research, and the Global Outbreak Alert and Response Network. As a whole, the Centre provides technical assistance in several disease areas including malaria, HIV, yellow fever, influenza, polio, hepatitis, and dengue.
I am also a research associate working in the MRC Centre and the Department of Infectious Disease Epidemiology. My current project, in collaboration with colleagues at Johns Hopkins Bloomberg School of Public Health and here at Imperial, focuses on estimating dengue transmission intensity globally, and to identify environmental determinants of dengue burden.
I am part of the Technical Working Group on Dengue Seroprevalence Surveys advising the WHO and the Initiative for Vaccine Research on targeting vaccination for the recently licensed dengue vaccine.
In collaboration with JHSPH and UF we have recently launched a web tool for WHO visualising estimates of dengue seroprevalence in select areas. Available here: Global Dengue Transmission Map
I co-organise Imperial's short course, "Introduction to Mathematical Models of the Epidemiology & Control of Infectious Diseases", which is aimed at public health professionals, policy-makers and researchers who want to learn about the basic principles and practical applications of mathematical modelling and modern quantitative methods. For more information please see http://www.InfectiousDiseaseModels.org.
et al., 2018, Outbreak of Ebola virus disease in the Democratic Republic of the Congo, April–May, 2018: an epidemiological study, The Lancet, Vol:392, ISSN:0140-6736, Pages:213-221
Imai N, Ferguson NM, 2018, Targeting vaccinations for the licensed dengue vaccine: considerations for serosurvey design, PLOS One, ISSN:1932-6203
et al., 2015, Estimating Dengue Transmission Intensity from Sero-Prevalence Surveys in Multiple Countries, PLOS Neglected Tropical Diseases, Vol:9, ISSN:1935-2735
et al., 2014, Transmission and Control of Plasmodium knowlesi: A Mathematical Modelling Study, PLOS Neglected Tropical Diseases, Vol:8, ISSN:1935-2735