{"0f72865d-fe3e-4163-918f-27e7c84781c3": "From January 1, 2018, until July 31, 2020, a hospital network in Switzerland experienced an outbreak of vancomycin-resistant enterococci (VRE). The goal of their study was to improve existing processes by applying machine-learning and graph-theoretical methods to a nosocomial outbreak investigation. Risk factors for being a VRE carrier were identified, along with 3 important links with VRE (healthcare personnel, medical devices, patient rooms). The author concludes that data science is likely to provide a better understanding of outbreaks, but interpretations require data maturity, and potential confounding factors must be considered.", "8e258b49-53ff-4566-8088-a5161e4a62cc": "Extending outbreak investigation with machine learning and graph theory: Benefits of new tools with application to a nosocomial outbreak of a multidrug-resistant organism"}