Bayesian network modeling of patterns of antibiotic cross-resistance by bacterial sample source

Research output: Contribution to journalArticlepeer-review

Abstract

Antimicrobial resistance is a major healthcare burden, aggravated when it extends to multiple drugs. While cross-resistance is well-studied experimentally, it is not the case in clinical settings, and especially not while considering confounding. Here, we estimated patterns of cross-resistance from clinical samples, while controlling for multiple clinical confounders and stratifying by sample sources.
Original languageAmerican English
Article number61
Pages (from-to)1-7
JournalCommunications Medicine
Volume3
Issue number1
DOIs
StatePublished - 2023

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