Barry Rowlingson

Barry Rowlingson is a Research Fellow at Lancaster University Medical School, affiliated with the Chicas Research Group and DSI-Health. He specializes in spatial statistics applied to disease epidemiology and geospatial software development.

• Teaches Geospatial Data module for MRes in Global Health
• Developed online course on Spatial Statistics in R with DataCamp
• Focuses on open-source geospatial tools for public health

Research Interests: His work bridges spatial statistical methodology and infectious disease modeling, with applications in antimicrobial resistance mapping, wastewater-based pandemic surveillance, and health inequality analysis. Recent projects include modeling ESBL-producing bacteria in Malawi and developing spatio-temporal frameworks for COVID-19 wastewater monitoring.

Scientific Contributions: Over 15 years, he has developed critical R packages like stpp for spatio-temporal analysis and rgdal for geospatial data abstraction. His 2023 publications address health workforce disparities and disease transmission dynamics using advanced statistical methods.

Collaborations: Works with multidisciplinary teams across Lancaster Medical School, DataCamp, and SAVSNet Agile research projects. Supervises PhD student Charlotte Appleton in biostatistics.