In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals
T. Baumgartl, M. Petzold, M. Wunderlich, M. H\"ohn, D. Archambault, M., Lieser, A. Dalpke, S. Scheithauer, M. Marschollek, V. M. Eichel, N. T., Mutters, HiGHmed Consortium, and T. von Landesberger

TL;DR
This paper introduces a visual analytics system that helps infection control experts trace pathogen transmission pathways in hospitals, significantly reducing analysis time and enabling long-term, large-scale outbreak investigations.
Contribution
The paper presents a novel visual analytics approach for reconstructing transmission pathways, supporting analysis over extended periods and larger datasets, with proven effectiveness in real hospital outbreaks.
Findings
Reduced analysis time from days to hours
Enabled analysis of multi-year transmission pathways
Received positive feedback from 25 experts across hospitals
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Data-Driven Disease Surveillance · Anomaly Detection Techniques and Applications
