Journal
Infection control and hospital epidemiology
Publication Date
2-1-2023
Volume
44
Issue
2
First Page
246
Last Page
252
Document Type
Open Access Publication
DOI
10.1017/ice.2022.66
Rights and Permissions
Atkinson, A., Ellenberger, B., Piezzi, V., Kaspar, T., Salazar-Vizcaya, L., Endrich, O., . . . Marschall, J. (2023). Extending outbreak investigation with machine learning and graph theory: Benefits of new tools with application to a nosocomial outbreak of a multidrug-resistant organism. Infection Control & Hospital Epidemiology, 44(2), 246-252. doi:10.1017/ice.2022.66 This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Recommended Citation
Atkinson, Andrew; Ellenberger, Benjamin; Piezzi, Vanja; Kaspar, Tanja; Salazar-Vizcaya, Luisa; Endrich, Olga; Leichtle, Alexander B; and Marschall, Jonas, "Extending outbreak investigation with machine learning and graph theory: Benefits of new tools with application to a nosocomial outbreak of a multidrug-resistant organism." Infection control and hospital epidemiology. 44, 2. 246 - 252. (2023).
https://digitalcommons.wustl.edu/oa_4/2027
Additional Links
Supplemental material is available for this article at publisher site.
