Dr Annie Browne
Data Analyst and Researcher
Annie joined GRAM as a Research Assistant and doctoral researcher in 2018, and her work focuses on building geospatial models to predict the level of antibiotic resistance in Salmonella infections at a high spatial and temporal resolution. Annie, who started her DPhil in 2017 and spent several years mapping under 5 child mortality in Africa for Professor Simon Hay, is also modelling antibiotic use in humans and working to define catchment populations of hospitals around the globe.
Annie obtained an undergraduate degree in Biological Science before moving into laboratory-based research. She completed her Master of Public Health degree at the University of Nottingham and worked at Public Health England as an epidemiology and surveillance analyst before joining the University of Oxford in 2015.
Global antibiotic consumption and usage in humans, 2000-18: a spatial modelling study.
Browne AJ. et al, (2021), The Lancet. Planetary health, 5, e893 - e904
Existing and potential infection risk zones of yellow fever worldwide: a modelling analysis
Shearer FM. et al, (2018), The Lancet Global Health, 6, e270 - e278
The contemporary distribution of Trypanosoma cruzi infection in humans, alternative hosts and vectors
Browne AJ. et al, (2017), Scientific Data, 4
Mapping the spatial distribution of the Japanese encephalitis vector, Culex tritaeniorhynchus Giles, 1901 (Diptera: Culicidae) within areas of Japanese encephalitis risk
Longbottom J. et al, (2017), Parasites & Vectors, 10
Global yellow fever vaccination coverage from 1970 to 2016: an adjusted retrospective analysis
Shearer FM. et al, (2017), The Lancet Infectious Diseases, 17, 1209 - 1217