Publications

Journal of Clinical Microbiology, 52(5), 1 May 2014, pp 1741-44, doi: 10.1128/JCM.03614-13
Intensive Care Medicine, 40(4), 1 April 2014, pp 564–571, doi: 10.1007/s00134-014-3225-8
Expert Opinion on Therapeutic Targets, 18(8), 1 August 2014, pp 851-61, doi: 10.1517/14728222.2014.925881

Project Partners

R-GNOSIS is coordinated by Marc Bonten (UMC Utrecht) and brings together a multidisciplinary team with complementary expertise of clinicians, microbiologists and epidemiologists, infectious disease specialists, caregivers in inpatient care and mathematical modellers. The R-GNOSIS consortium is made of 19 partners from 9 countries which include United Kingdom, Denmark, Germany, Netherlands, Belgium, France, Spain, Switzerland and Israel.

University of Oxford, OXFORD, UK

University of Oxford, OXFORD, UK


Organizational Activities

Three Oxford research centres are involved in the project: the Nuffield Department of Clinical Medicine (NDM); the Institute for Emerging Infections (IEI) and the Experimental Evolutionary Genetics and Ecology Research Group, both within the Department of Zoology. Applicants from NDM work in the modelling unit within the Mahidol-Oxford Research Unit, part of the Wellcome Trust Major Overseas Programme. Current work within this unit focuses on intra-host modelling   of the emergence of resistance in Plasmodium falciparum, and between-host modelling of infectious disease dynamics, including multiply-resistant nosocomial pathogens. The IEI is a multi-disciplinary team of biologists, mathematicians and clinicians who research the underlying processes that drive the emergence and spread of novel human pathogens. The Experimental Evolutionary Genetics and Ecology research group (led by Dr Craig MacLean) uses experimental evolution of microbial communities and systems modelling approaches to study the evolution of antibiotic resistance.

Role in the Project

Key Personnel

Ben Cooper is an Oak Leadership Fellow at NDM. His research, which focuses on drug-resistance and bacterial infections, makes extensive use of mathematical models to gain insights into complex systems with a particular focus on combining mechanistic models with advanced statistical techniques. His work has contributed to significant theoretical, methodological and clinical advances in the fields of hospital epidemiology and emerging infections. He leads the modelling workpackage for the FP6 project MOSAR. - no image description is available -
Angela McLean’s research interests lie in the use of mathematical models to aid our understanding of the evolution and spread of infectious agents.. She has extensive experience of modelling within-host dynamics and the emergence of drug-resistance, and has written some of the seminal research papers in this field. She is the co-director of the IEI. - no image description is available -
Craig MacLean’s work focuses on trying to understand how molecular mechanisms of antibiotic resistance and the ecological context in which antibiotics are deployed influence the evolutionary dynamics of resistance. His work, which makes use of experimental evolution and mathematical modelling approaches, has led to deep insights into antibiotic resistance and has appeared in leading journals including Nature, PLoS Biology and PNAS. - no image description is available -