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In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals

Baumgartl, T. ; Petzold, M. ; Wunderlich, M. ; Hohn, M. ; Archambault, D. ; Lieser, M. ; Dalpke, A. ; Scheithauer, S. ; Marschollek, M. ; Eichel, V. M. ; Mutters, N. T. ; Landesberger von Antburg, Tatiana (2020)
In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals.
In: Transactions on Visualization and Computer Graphics, (Early Access)
doi: 10.1109/TVCG.2020.3030437
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Pathogen outbreaks (i.e., outbreaks of bacteria and viruses) in hospitals can cause high mortality rates and increase costs for hospitals significantly. An outbreak is generally noticed when the number of infected patients rises above an endemic level or the usual prevalence of a pathogen in a defined population. Reconstructing transmission pathways back to the source of an outbreak – the patient zero or index patient – requires the analysis of microbiological data and patient contacts. This is often manually completed by infection control experts. We present a novel visual analytics approach to support the analysis of transmission pathways, patient contacts, the progression of the outbreak, and patient timelines during hospitalization. Infection control experts applied our solution to a real outbreak of Klebsiella pneumoniae in a large German hospital. Using our system, our experts were able to scale the analysis of transmission pathways to longer time intervals (i.e., several years of data instead of days) and across a larger number of wards. Also, the system is able to reduce the analysis time from days to hours. In our final study, feedback from twenty-five experts from seven German hospitals provides evidence that our solution brings significant benefits for analyzing outbreaks.

Typ des Eintrags: Artikel
Erschienen: 2020
Autor(en): Baumgartl, T. ; Petzold, M. ; Wunderlich, M. ; Hohn, M. ; Archambault, D. ; Lieser, M. ; Dalpke, A. ; Scheithauer, S. ; Marschollek, M. ; Eichel, V. M. ; Mutters, N. T. ; Landesberger von Antburg, Tatiana
Art des Eintrags: Bibliographie
Titel: In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals
Sprache: Englisch
Publikationsjahr: 2020
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Transactions on Visualization and Computer Graphics
(Heft-)Nummer: Early Access
DOI: 10.1109/TVCG.2020.3030437
Kurzbeschreibung (Abstract):

Pathogen outbreaks (i.e., outbreaks of bacteria and viruses) in hospitals can cause high mortality rates and increase costs for hospitals significantly. An outbreak is generally noticed when the number of infected patients rises above an endemic level or the usual prevalence of a pathogen in a defined population. Reconstructing transmission pathways back to the source of an outbreak – the patient zero or index patient – requires the analysis of microbiological data and patient contacts. This is often manually completed by infection control experts. We present a novel visual analytics approach to support the analysis of transmission pathways, patient contacts, the progression of the outbreak, and patient timelines during hospitalization. Infection control experts applied our solution to a real outbreak of Klebsiella pneumoniae in a large German hospital. Using our system, our experts were able to scale the analysis of transmission pathways to longer time intervals (i.e., several years of data instead of days) and across a larger number of wards. Also, the system is able to reduce the analysis time from days to hours. In our final study, feedback from twenty-five experts from seven German hospitals provides evidence that our solution brings significant benefits for analyzing outbreaks.

Freie Schlagworte: Medicine
ID-Nummer: PubMedID 33290223
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 25 Jan 2021 11:24
Letzte Änderung: 22 Jul 2021 18:31
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