Emmanuelle joined GRAM as a Data Analyst in 2018, and she collects, processes and manages a wide range of data on antimicrobial resistance, in addition to analysing and disseminating results and creating geospatial maps.
After finishing her undergraduate degree in Biology from Imperial College London, Emmanuelle worked as a research assistant in an immunology lab at the National University of Singapore where she worked on a project investigating the T cell responses in Dengue infections. Prior to moving to Oxford to join Oxford-GBD, Emmanuelle completed a Master’s in Public Health at the London School of Hygiene and Tropical Medicine.
Mapping local variation in household overcrowding across Africa from 2000 to 2018: a modelling study.
Chipeta MG. et al, (2022), Lancet Planet Health, 6, e670 - e681
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.
Antimicrobial Resistance Collaborators None., (2022), Lancet, 399, 629 - 655
Global antibiotic consumption and usage in humans, 2000-18: a spatial modelling study.
Browne AJ. et al, (2021), Lancet Planet Health
Geospatial mapping of the global prevalence of antimicrobial resistant Salmonella Typhi and Paratyphi A isolates
Browne A. et al, (2020), INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 101, 28 - 28
Drug-resistant enteric fever worldwide, 1990 to 2018: a systematic review and meta-analysis.
Browne AJ. et al, (2020), BMC Med, 18