Research project

RAPID: Overcoming uncertainty to enable estimation and forecasting of Zika virus transmission

Staff

Personal Chair

Research interests

Developing approaches to map population distributions, demographics and dynamics through complementing traditional datasources (census, survey, registries) with new forms of geospatial data from e.g. satellite imagery and mobile devices.
Understanding the drivers of small area heterogeneities in population health and development in low and middle income settings.
The use of high resolution demographic and mobility data for improving understanding and modelling of pathogen dynamics.

Connect with Andrew

Email: [email protected]