Dr Oliver Brady
My research aims to use statistical models to better understand the geographic spread of mosquito-transmitted viruses and optimise strategies for their control and spans three main areas:
- Mapping the global distribution of dengue, chikungunya and Zika and estimating their true burden to track progress towards global targets in the context of climate change, growing urbanisation and travel.
- Understanding and predicting the geographic spread of dengue and Zika to design new strategies to contain the spread of pandemics
- Developing and optimising the use of novel interventions for dengue control including real time outbreak forecasting and accelerating the adoption of novel mosquito control tools like Wolbachia.
To achieve these aims, I develop and apply advanced statistical and mechanistic models in Bayesian frameworks to high resolution climate, demographic and socioeconomic data. Key to my work is close collaboration with ministries of health and a partnership with WHO to develop strategies and guidelines that ultimately aim to contain these expanding arboviral diseases.
I completed my DPhil (PhD) at the University of Oxford before moving to LSHTM in 2016. After joining the school I was awarded a Wellcome Trust Henry Wellcome Fellowship in 2017 and a UK MRC Career Development Award Fellowship in 2021. I now lead the Dengue Mapping and Modelling group (DMMG) at LSHTM, a team of modellers, spatial statisticians and epidemiologists working on dengue.
My research is supported by a range of research funders including the MRC, the Wellcome Trust, the Bill and Melinda Gates Foundation and the UK Space Agency.
I teach on the Spatial Epidemiology in Public Health and Epidemiology (3135), Epidemiology of Infectious Diseases (2437) and Modelling & the Dynamics of Infectious Diseases (2464) modules at the School. I also organise the Introduction to Spatial Analysis in R (ISAIR) short course.