About: Contact networks in the emergency department: Effects of time, environment, patient characteristics, and staff role

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Contact networks in the emergency department: Effects of time, environment, patient characteristics, and staff role Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Contact networks in the emergency department: Effects of time, environment, patient characteristics, and staff role
Creator	Baumgardner, Jason Cotsonis, George Elon, Lisa Lowery-North, Douglas Stover Hertzberg, Vicki Mehta, C Woodruff, Nell
topic	covid:f27a5562dd776c3a927ef078b0038ac690d03d90#this
Source	Elsevier; Medline; PMC
abstract	Abstract Emergency departments play a critical role in the public health system, particularly in times of pandemic. Infectious patients presenting to emergency departments bring a risk of cross-infection to other patients and staff through close proximity interactions or contacts. To understand factors associated with cross-infection risk, we measured close proximity interactions of emergency department staff and patients by radiofrequency identification in a working emergency department. The number of contacts (degree) is not related to patient demographic characteristics. However, the amount of time in close proximity (weighted degree) of patients with ED personnel did differ, with black patients having approximately 15min more contact with staff than non-white patients. Patients arriving by EMS had fewer contacts with other patients than patients arriving by other means. There are differences in the number of contacts based on staff role and arrival mode. When crowding is low, providers have the most contact time with patients, while administrative staff have the least. However, when crowding is high, this differential is reversed. The effect of arrival mode is modified by the extent of crowding. When crowding is low, patients arriving by EMS had longer contact with administrative staff, compared to patients arriving by other means. However, when crowding is high, patients arriving by EMS had less contact with administrative staff compared to patients arriving by other means. Our findings should help designers of emergency care focus on higher risk situations for transmission of dangerous pathogens in an emergency department. For instance, the effects of arrival and crowding should be considered as targets for engineering or architectural interventions that could artificially increase social distances.
has issue date	2017-01-31(xsd:dateTime)
bibo:doi	10.1016/j.socnet.2016.08.005
bibo:pmid	32288125
has license	els-covid
sha1sum (hex)	f27a5562dd776c3a927ef078b0038ac690d03d90
schema:url	https://doi.org/10.1016/j.socnet.2016.08.005
resource representing a document's title	Contact networks in the emergency department: Effects of time, environment, patient characteristics, and staff role
has PubMed Central identifier	PMC7126867
has PubMed identifier	32288125
schema:publication	Social Networks
resource representing a document's body	covid:f27a5562dd776c3a927ef078b0038ac690d03d90#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/f27a5562dd776c3a927ef078b0038ac690d03d90
is schema:about of	named entity 'Emergency' named entity 'risk' named entity 'Our' named entity 'time' named entity 'patients' named entity 'number' named entity 'ROLE' named entity 'ADMINISTRATIVE' named entity 'EMS' named entity 'NUMBER OF' named entity 'HAVE' named entity 'DEMOGRAPHIC CHARACTERISTICS' named entity 'EMERGENCY' named entity 'TIME' named entity 'BASED' named entity 'PLAY' named entity 'OUR' named entity 'ARRIVAL' named entity 'INCREASE' named entity 'MODE' named entity 'CROSS' named entity 'BLACK' covid:arg/f27a5562dd776c3a927ef078b0038ac690d03d90 named entity 'INSTANCE' named entity 'INFECTION' named entity 'WORKING' named entity 'PANDEMIC' named entity 'RISK' named entity 'STAFF' named entity 'RISK OF' named entity 'HIGH' named entity 'RELATED' named entity 'MEANS' named entity 'CONTACTS' named entity 'NON-' named entity 'STAFF ROLE' named entity 'WHITE' named entity 'PATIENTS' named entity 'CROSSINFECTION' named entity 'PRESENTING' named entity 'EXTENT OF' named entity 'CONSIDERED' named entity 'MIN' named entity 'FOCUS' named entity 'INFECTIOUS' named entity 'DID' named entity 'MODIFIED BY' named entity 'EMERGENCY DEPARTMENT' named entity 'HELP' named entity 'REVERSED' named entity 'APPROXIMATELY' named entity 'RADIOFREQUENCY' named entity 'CLOSE' named entity 'TARGETS' named entity 'DISTANCES' named entity 'ASSOCIATED WITH' named entity 'EFFECT' named entity 'IDENTIFICATION' named entity 'HEALTH SYSTEM' named entity 'INTERVENTIONS' named entity 'CONTACT WITH' named entity 'PATHOGENS' named entity 'TRANSMISSION' named entity 'COMPARED' named entity 'DIFFERENTIAL' named entity 'PUBLIC HEALTH' named entity 'LOW' named entity 'ENGINEERING' named entity 'MEASURED' named entity 'DEGREE' named entity 'PERSONNEL' named entity 'TIMES' named entity 'PROXIMITY'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software