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Utilising data linkage to estimate antimicrobial resistance burden in paediatric populations

School of Pharmacy | PHD

Applications are now CLOSED
Funding
Unfunded
Reference Number
PMY/2251/26
Application Deadline
None specified
Start Date
None specified

Overview

The project will utilize data linkage techniques to link data from secondary care and primary care to evaluate antibiotic consumption and estimate antimicrobial resistance (AMR) burden in paediatric populations. Geospatial statistical modelling will be applied to investigate AMR by geographical regions.

The student will receive training on quantitative methods, pharmaco-epidemiological methods, generic skills in writing and presentations skills, critical thinking, and project management. Training will also be provided on computer programming using statistical software (STATA, R, Rstudio). The student will work with a large interdisciplinary team which is highly experienced in such studies.

The findings for this project will develop data linkage approaches across different healthcare settings. The training provided to the study will also provide an excellent grounding for a career in medical research or information technology.

Project Summary
Supervisor

Dr Yingfen Hsia

More Information

y.hsia@qub.ac.uk

Research Profile


Mode of Study

Full-time: 3 Years


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