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Solving the inadequacies of current approaches to analysis of antibiotic resistance data.


Given the urgent need to control AMR emergence, it is critical that we develop new/alternative approaches to the statistical analysis of AMR data that will allow the detection of resistance development in a timely manner and enable the quick implementation of appropriate mitigation measures. Our long-term goal is to facilitate better control of AMR. This project serves that goal by developing statistical methods capable of more timely detection of AMR emergence.

O'Connor, Annette
Iowa State University
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