About: An Invited Commentary on: Optimizing response in surgical systems during and after COVID-19 pandemic: lessons from China and the UK

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

About: An Invited Commentary on: Optimizing response in surgical systems during and after COVID-19 pandemic: lessons from China and the UK – Perspective. Zheng Liu (IJS-D-20-00464) Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Invited Commentary on: Optimizing response in surgical systems during and after COVID-19 pandemic: lessons from China and the UK – Perspective. Zheng Liu (IJS-D-20-00464)
Creator	Liu, Zheng Coppola, Alessandro Coppola, Roberto Facs, M
Source	Elsevier; Medline; PMC
abstract	covid:7535b4507e136d52d542124e94865783e3e5e853#abstract
has issue date	2020-05-19(xsd:dateTime)
bibo:doi	10.1016/j.ijsu.2020.05.048
bibo:pmid	32439574
has license	no-cc
sha1sum (hex)	7535b4507e136d52d542124e94865783e3e5e853
schema:url	https://doi.org/10.1016/j.ijsu.2020.05.048
resource representing a document's title	An Invited Commentary on: Optimizing response in surgical systems during and after COVID-19 pandemic: lessons from China and the UK – Perspective. Zheng Liu (IJS-D-20-00464)
has PubMed Central identifier	PMC7234936
has PubMed identifier	32439574
schema:publication	Int J Surg
resource representing a document's body	covid:7535b4507e136d52d542124e94865783e3e5e853#body_text
is schema:about of	named entity 'systems' named entity 'pandemic' named entity 'COVID-19 pandemic' named entity 'March 2020' named entity 'PPE' named entity 'COVID-19 pandemic' named entity 'COVID-19' named entity 'triage' named entity 'surgical care' named entity 'outpatient clinic' named entity 'COVID-19' named entity 'life-threatening diseases' named entity 'day after day' named entity 'Campus Bio-Medico University' named entity 'surgical care' named entity 'COVID-19 pandemic' named entity 'oxygen saturation' named entity 'PPE' named entity 'emergency surgery' named entity 'Italy' named entity 'COVID-19' named entity 'Outpatient visits' named entity 'chest CT scan' named entity 'screening test' named entity 'health care' named entity 'surgical systems' named entity 'Coronavirus (COVID-19) pandemic' named entity 'COVID-19' named entity 'PPE' named entity 'operating room' named entity 'peer review' named entity 'COVID-19' named entity 'Italy' named entity 'Rome' named entity 'epidemic' named entity 'American College of Surgeons' named entity 'COVID-19' named entity 'COVID-19 pandemic' named entity 'Personal Protection Equipment' named entity 'University of Chicago' named entity 'critical point' named entity 'fever' named entity 'Sars' named entity 'COVID-19 pandemic' named entity 'surgical systems' named entity 'PROOF' named entity 'JOURNAL ' named entity 'COMMENTARY' named entity 'PERSPECTIVE' named entity 'TITLE' named entity 'TITLE PAGE' named entity 'China' named entity 'PAGE' named entity 'COVID-19' named entity 'surgical' named entity 'PRE' named entity 'RESPONSE' named entity 'CHINA' named entity 'COVID-19 PANDEMIC' named entity 'SURGICAL' named entity 'Journal' named entity 'PAGE' named entity 'SYSTEMS'
is part of of	An Invited Commentary on: Optimizing response in surgical systems during and after COVID-19 pandemic: lessons from China and the UK – Perspective. Zheng Liu (IJS-D-20-00464) covid:7535b4507e136d52d542124e94865783e3e5e853#body_text covid:7535b4507e136d52d542124e94865783e3e5e853#abstract

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 © 2009-2025 OpenLink Software