sp_hospital — Hospital ward dynamic contacts (2010)
- Description
Temporal network of face-to-face proximity contacts among patients and health-care workers in a geriatric unit of a hospital in Lyon, France, measured by the SocioPatterns collaboration with wearable sensors from Monday, 6 December 2010 at 1:00 pm to Friday, 10 December 2010 at 2:00 pm. The study included 46 health-care workers and 29 patients. Nodes are persons, and each edge is a contact between two persons active during a 20-second interval of the data collection, so that a pair of persons is connected by one edge per interval in which they were in contact.
The network has the following properties:
- (Node)
id: the anonymous identifier of the person. - (Node)
status: the role of the person:NUR(paramedical staff, i.e. nurses and nurses' aides),PAT(patient),MED(medical doctor) orADM(administrative staff). - (Edge)
time: the end of the 20-second interval $[t - 20\,\text{s}, t]$ during which the contact was active, in seconds since the beginning of the data collection.
- (Node)
- Tags
- Social Offline Unweighted Temporal Metadata
- Added
- 2020-08-11
- Citation
-
- P. Vanhems et al., "Estimating Potential Infection Transmission Routes in Hospital Wards Using Wearable Proximity Sensors." PLoS ONE 8(9), e73970 (2013). 10.1371/journal.pone.0073970 Sci-Hub
- Upstream URL OK
- https://sociopatterns.org/datasets/hospital-ward-dynamic-contact-network/
- Upstream license
- Creative Commons Attribution-NonCommercial-ShareAlike, http://creativecommons.org/licenses/by-nc-sa/3.0/
- Networks
-
Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
- Ridiculograms*
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