About
Samuel Watson is Professor of Biostatistics in the Institute of Applied Health Research at the University of Birmingham. He leads methodological research in experimental design with a focus on cluster randomised trials and spatial statistics, with significant applications in global health contexts.
- University of Birmingham, Institute of Applied Health Research
- Professor of Biostatistics
- Active research leadership through 2025
- Principal investigator on multiple NIHR, MRC, and GCRF-funded projects
Watson's research centers on innovative statistical methods for evaluating health interventions, particularly in complex settings. His work bridges theoretical methodology with practical applications in low- and middle-income countries. Key areas include:
- Design and analysis of cluster randomised trials, especially stepped-wedge designs
- Spatiotemporal statistical methods for disease mapping and intervention evaluation
- Real-time disease surveillance systems using geospatial techniques
- Integration of mental health services into chronic disease care
His recent publications demonstrate a strong methodological focus with applications across global health contexts, particularly in Africa. The articles show progression from foundational methodological work to implementation in specific disease contexts including diabetes, HIV, leprosy, and cancer care.
Watson serves as principal investigator or co-investigator on numerous major research grants:
- MRC/NIHR-funded project on spatio-temporal intervention evaluation
- NIHR/UKRI project on real-time disease surveillance
- GCRF project on low-cost diagnostic tests
- NIHR Global Health Research Unit on Improving Health in Slums
- Stepped-wedge trial of depression care integration in Malawi
- RIGHT programme on leprosy and Buruli ulcer
His work connects statistical methodology with practical healthcare delivery challenges, particularly in resource-limited settings across sub-Saharan Africa.
