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:
1. Mapping the global distribution of dengue, chikungunya and Zika and estimating their true burden to track progress towards global targets
2. Understanding and predicting the geographic spread of dengue and Zika to design new strategies to contain the spread of pandemics
3. 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.
At LSHTM I lead the Dengue Mapping and Modelling Group, which is currently comprised of a team of 8 PhD students, post-docs and early career faculty members. Our work is supported by a range of research funders including the MRC, the Wellcome Trust, the Bill and Melinda Gates Foundation, the World Health Organization and the AXA Research Foundation. Currently i am acting co-head of department for the Infectious Disease Epidemiology and Dynamics
Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health
Centre for Mathematical Modelling of Infectious Diseases
I teach on MSc modules including modelling, study design, machine learning, spatial epidemiology, epidemiology of infectious diseases and integrated vector management. I also teach and organise the Introduction to Spatial Analysis in R short course.
Research Area
Modelling
Vector control
GIS/Spatial analysis
Epidemiology
Disease and Health Conditions
Dengue
Zika
Yellow fever
Could prophylactic antivirals reduce dengue incidence in a high-prevalence endemic area?
2024
PLoS neglected tropical diseases
Indian Ocean temperature anomalies predict long-term global dengue trends.
2024
Science (New York, N.Y.)
Programmatic considerations and evidence gaps for chikungunya vaccine introduction in countries at risk of chikungunya outbreaks: Stakeholder analysis.
2024
PLoS neglected tropical diseases
Assessing vulnerability for future Zika virus outbreaks using seroprevalence data and environmental suitability maps.
2024
PLoS neglected tropical diseases