Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19: an individual-based modelling study
Goto
Sponge
NotDistinct
Permalink
An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
wasabi.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19: an individual-based modelling study
Creator
Beutels, Philippe
Willem, Lander
Hens, Niel
Coletti, Pietro
Faes, Christel
Kuylen, Elise
Libin, Pieter
Abrams, Steven
Covid19, Simid
Herzog, Sereina
Møgelmose, Signe
Petrof, Oana
Wambua, James
source
MedRxiv
abstract
Background. The rising COVID-19 pandemic caused many governments to impose policies restricting social interactions. These policies have slowed down the spread of the SARS-CoV-2 virus to the extent that restric- tions can be gradually lifted. Models can be useful to assess the consequences of deconfinement strategies with respect to business, school and leisure activities. Methods. We adapted the individual-based model %22STRIDE%22 to simulate interactions between the 11 million inhabitants of Belgium at the levels of households, workplaces, schools and communities. We calibrated our model to observed hospital incidence and seroprevalence data. STRIDE can explore contact tracing options and account for repetitive leisure contacts in extended household settings (so called %22household bubbles%22) with varying levels of connectivity. Findings. Household bubbles have the potential to reduce the number of COVID-19 hospital admissions by up to 90%. The effectiveness of contact tracing depends on its timing, as it becomes futile more than 4 days after the index case developed symptoms. Assuming that children have a lower level of susceptibility and lower probability to experience symptomatic SARS-CoV-2 infection, (partial) school closure options have relatively little impact on COVID-19 burden. Interpretation. Not only the absolute number and intensity of physical contacts drive the transmission dynamics and COVID-19 burden, also their repetitiveness is influential. Contact tracing seems essential for a controlled and persistent release of lockdown measures, but requires timely compliance to testing, reporting and self-isolation. Rapid tracing and testing, and communication ensuring continued involvement of the population are therefore essential.
has issue date
2020-07-02
(
xsd:dateTime
)
bibo:doi
10.1101/2020.07.01.20144444
has license
medrxiv
sha1sum (hex)
7ad2bef1af93f50b80bc136c709a081f8a4ac4e5
schema:url
https://doi.org/10.1101/2020.07.01.20144444
resource representing a document's title
The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19: an individual-based modelling study
resource representing a document's body
covid:7ad2bef1af93f50b80bc136c709a081f8a4ac4e5#body_text
is
schema:about
of
named entity 'restricting'
named entity 'impact'
named entity 'MODELS'
named entity 'CONSEQUENCES'
named entity 'SOCIAL INTERACTIONS'
named entity 'RESPECT'
named entity 'USEFUL'
named entity 'assess'
named entity 'lifted'
named entity 'COVID-19'
named entity 'SARS-CoV-2 virus'
named entity 'COVID-19 pandemic'
named entity 'contact tracing'
named entity 'individual-based'
named entity 'deconfinement'
named entity 'leisure activities'
covid:arg/7ad2bef1af93f50b80bc136c709a081f8a4ac4e5
named entity 'SCHOOL'
named entity 'VIRUS'
named entity 'POLICIES'
named entity 'GOVERNMENTS'
named entity 'HAVE'
named entity 'ASSESS'
named entity 'BUSINESS'
named entity 'THESE'
named entity 'COVID-19'
named entity 'IMPOSE'
named entity 'LEISURE ACTIVITIES'
named entity 'SARS-COV-2'
named entity 'CAUSED'
named entity 'RESTRICTING'
named entity 'BACKGROUND'
named entity 'HOUSEHOLD'
named entity 'CONTACT TRACING'
named entity 'COVID-19'
named entity 'STRATEGIES'
named entity 'BUBBLES'
named entity 'social interactions'
named entity 'deconfinement'
named entity 'pandemic'
named entity 'school'
named entity 'SARS-CoV-2'
named entity 'extent'
named entity 'leisure'
named entity 'slowed'
named entity 'strategies'
named entity 'virus'
named entity 'consequences'
named entity 'respect'
named entity 'COVID-19 PANDEMIC'
named entity 'SLOWED'
named entity 'restrictions'
named entity 'policies'
named entity 'gradually'
named entity 'strategies'
named entity 'LIFTED'
named entity 'STRATEGIES'
named entity 'policies'
named entity 'Models'
named entity 'These'
named entity 'deconfinement'
named entity 'caused'
named entity 'governments'
named entity 'social interactions'
named entity 'contact tracing'
named entity 'activities'
named entity 'deconfinement'
named entity 'impose'
named entity 'modelling'
named entity 'SPREAD'
named entity 'EXTENT'
named entity 'BASED'
named entity 'STUDY'
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 2
Go
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