What can routine surveillance data reveal about antibiotic resistance dynamics?
Many key relationships in the dynamics of antimicrobial resistance (AMR) are still uncertain, such as the relative importance of transmission vs. selection, or the long-lasting effects of antibiotic exposure for an individual. Routine surveillance data provide a wealth of information but are limited by surveillance practices and local guidance.
This webinar will address two analyses of routine surveillance data designed to support parameterisation and construction of mechanistic mathematical models of AMR:
1. Analysis of data from Great Ormond Street Hospital on S. aureus comparing patient and hospital-level patterns.
2. Analysis of European bloodstream infection data to explore the variance in resistance prevalence in infection by the age and gender of the patient.
The presentation will conclude with what this means for modelling AMR going forward and future implications of using routine surveillance data for AMR dynamics.
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