Contact information
Research groups
Tilleye Runghien
Data Analyst & Researcher
Tilleye works on the GRAM project where he analyses and optimises the health data obtained from various sources and collaborations. He creates complex statistical and geospatial models which estimate the prevalence of pathogenic resistance as well as reports on the matter. He has a particular focus on antimicrobials. He is also working on the global antibiotic consumption model which will look at estimates of human antibiotic usage during the COVID period. Tilleye has a vast array of experience, having worked in the medical, technological and research sector.
Recent publications
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Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990-2021: a systematic analysis from the Global Burden of Disease Study 2021.
GBD 2021 Lower Respiratory Infections and Antimicrobial Resistance Collaborators None., (2024), The Lancet. Infectious diseases, 24, 974 - 1002
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Brauer M. et al, (2024), The Lancet, 403, 2162 - 2203
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Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Bhattacharjee NV. et al, (2024), The Lancet, 403, 2057 - 2099
Address:
Big Data Institute
University of Oxford
Li Ka Shing Centre for Health Information and Discovery
Old Road Campus
Oxford OX3 7LF
UK