Professor Ben Cooper
Contact information
Podcast interview
Modelling bacterial drug resistance
Antibiotic resistance is one of today's major global health problems. Mathematical models help us answer what if questions and evaluate the impact of specific interventions such as hands hygiene on the spread of bacterial drug resistance. Effective solutions are then translated into policy changes or changes in practice at national or international level.
Ben Cooper
Professor of Epidemiology
Ben Cooper's work uses mathematical and statistical modelling, observational studies and clinical trials to help understand the burden and dynamics of infectious diseases and evaluate potential control measures. His current work focuses on drug-resistant infections and emerging pathogens. He leads the Drug-Resistant Infection and Disease Dynamics group (DRIaDD).
Recent publications
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How demographic factors matter for antimicrobial resistance – quantification of the patterns and impact of variation in prevalence of resistance by age and sex.
Waterlow NR. et al, (2023)
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Implications of reducing antibiotic treatment duration for antimicrobial resistance in hospital settings: A modelling study and meta-analysis.
Mo Y. et al, (2023), PLoS Med, 20
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Antibiotic Treatment Duration for Bacterial Infections - A Systematic Review and Critical Appraisal
Mo Y. et al, (2022)
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Impact of a multimodal hand hygiene improvement intervention in a 1000-bed hospital in Thailand: a stepped wedge cluster randomized controlled trial
Hongsuwan M. et al, (2022)
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Attributable Mortality and Excess Length of Stay associated with Third-Generation Cephalosporin Resistant Enterobacterales Bloodstream Infections – a prospective cohort study in Suva, Fiji
Loftus MJ. et al, (2022), Journal of Global Antimicrobial Resistance