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Utilising data linkage to estimate antimicrobial resistance burden in paediatric populations


   School of Pharmacy

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  Dr Yingfen Hsia  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

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. 

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