My research uses surveillance data and geospatial modelling to quantify the distribution and burden of vector-borne diseases. Currently my work covers three main areas:

1. Surveillance data harmonisation and open data science: compiling and harmonising global surveillance data into open-access resources, including leading the development of the OpenDengue database (opendengue.org).
2. Disease burden and long-term trends: reconstructing complete time series from incomplete surveillance records to estimate disease burden and track global trends towards the WHO 2030 dengue goals.
3. Global risk mapping: mapping the risk of dengue, chikungunya, Zika and yellow fever using ecological niche models that link climate and environmental drivers to disease occurrence, account for surveillance bias. 

I work closely with modellers, epidemiologists and public health agencies, including the WHO Global Arbovirus Initiative, to translate these data and maps into evidence for surveillance and control policy.