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Regression-based modeling of pairwise genomic linkage data identifies risk factors for healthcare-associated infection transmission: Application to carbapenem-resistant<i>Klebsiella pneumoniae</i>transmission in a long-term care facility

2025-05-06

Abstract excerpt

<h4>Background</h4> Pathogen whole genome sequencing (WGS) has significant potential for improving healthcare-associated infection (HAI) outcomes. However, methods for integrating WGS with epidemiologic data to quantify risks for pathogen spread remain underdeveloped. <h4>Methods</h4> To identify analytic strategies for conducting WGS-based HAI surveillance in high-burden settings, we modeled patient- and facility...

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Literature Corpus work
e18d05e1-85de-5e84-8a71-7b4ba99f5c3d
DOI
10.1101/2025.05.06.25327000
Open publication

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Regression-based modeling of pairwise genomic linkage data identifies risk factors for healthcare-associated infection transmission: Application to carbapenem-resistant<i>Klebsiella pneumoniae</i>transmission in a long-term care facilityDOI 10.1101/2025.05.06.25327000
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