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.
The SMB Department is the laboratory directly involved, although expertise from other laboratories (see table below) will also be used. Within SMB, the Modelling Unit has three main areas of work: 1) estimating the current health and economic burden of diseases, 2) evaluating the health and economic impact of interventions to control infectious diseases, 3) using data and models to improve our basic understanding of the epidemiology of infectious diseases.
The group has considerable expertise in the area of antimicrobial resistant (AMR) bacteria, including in the development of transmission dynamic models, e.g. deterministic, stochastic, individual-based and network models. The PHE will contribute to the modelling work package by developing between-host individual-based models to explore the transmission of AMR Gram negative bacteria, and use these models to evaluate short and long-term effects of interventions.
|Julie Robotham, PhD, is a mathematical modeller with experience in modelling antibiotic resistance. She was involved in the Dept of Health project Model-based Evaluation and Cost-effectiveness Analysis of MRSA Intervention Policies led the UK working group of the Mastering hOSpital Antimicrobial Resistance in Europe project (MOSAR).|
Sarah Deeny, PhD, is a mathematical modeller in the Modelling and Economics Unit of the Health Protection Agency, London. Her current research focuses on examining the economic effectiveness of competing control strategies against healthcare acquired infections. Wider research interests surround modelling the evolution and transmission of antimicrobial resistant bacteria.