Professor Paul Turner
Contact information
Podcast interview
Improving data for infection management
The ACORN project gathers clinical, microbiology, and antibiotic use data from nine countries in Asia and Africa to understand the burden and impact of antibiotic resistance on patient treatment and outcomes. It aims to improve direct patient care, generate treatment guidelines, and inform interventions to combat antibiotic resistance globally, ensuring better antibiotics for all.
Paul Turner
MB BS, PhD, FRCPCH, FRCPath
Professor of Paediatric Microbiology
- Senior Clinical Research Fellow
- Consultant in Microbiology
- Director of the Cambodia Oxford Medical Research Unit
- Principal Investigator for the ACORN Clinical AMR Surveillance Network
Clinical microbiologist with a focus on paediatric infections
Paul Turner is based at the Cambodia-Oxford Medical Research Unit (COMRU), Angkor Hospital for Children in Siem Reap, Cambodia.
He co-leads the ACORN clinical AMR surveillance network with OUCRU-Hanoi's Rogier van Doorn.
His research interests include:
- Antimicrobial resistance surveillance and control;
- Paediatric healthcare associated infections;
- Pneumococcal colonisation and disease and the impact of pneumococcal vaccines;
- Utilisation of bacterial colonisation data.
His non-research work focuses on development of human and laboratory capacity for diagnostic microbiology in low-resource settings, with a focus on improving laboratory informatics.
Recent publications
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The TyphiNET data visualisation dashboard: unlocking Salmonella Typhi genomics data to support public health
Dyson ZA. et al, (2025), Genome Medicine, 17
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Epidemiology of Burkholderia pseudomallei, Streptococcus suis, Salmonella spp., Shigella spp. and Vibrio spp. infections in 111 hospitals in Thailand, 2022
Jitpeera C. et al, (2025), PLOS Global Public Health, 5, e0003995 - e0003995
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Quantifying the effects of antibiotic resistance and within-host competition on strain fitness in Streptococcus pneumoniae
Krishna A. et al, (2025)
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Optimizing nanopore adaptive sampling for pneumococcal serotype surveillance in complex samples using the graph-based GNASTy algorithm
Horsfield ST. et al, (2025), Genome Research, gr.279435.124 - gr.279435.124
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Sustainable antimicrobial resistance surveillance: time for a global funding mechanism
Painter C. et al, (2025), The Lancet Infectious Diseases, 25, e99 - e103