About: Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection

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

About: Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection 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
title	Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection
Creator	Boëlle, Pierre-Yves Colizza, Vittoria Poletto, Chiara Barrat, Alain Pinotti, Francesco Bioglio, Livio Bentkowski, Piotr García, Beatriz Moreno López, Jesús
source	MedRxiv
abstract	The efficacy of digital contact tracing against COVID-19 epidemic is debated: smartphone penetration is limited in many countries, non-uniform across age groups, with low coverage among elderly, the most vulnerable to SARS-CoV-2. We developed an agent-based model to precise the impact of digital contact tracing and household isolation on COVID-19 transmission. The model, calibrated on French population, integrates demographic, contact-survey and epidemiological information to describe the risk factors for exposure and transmission of COVID-19. We explored realistic levels of case detection, app adoption, population immunity and transmissibility. Assuming a reproductive ratio R=2.6 and 50% detection of clinical cases, a ~20% app adoption reduces peak incidence of ~36%. With R=1.7, >30% app adoption lowers the epidemic to manageable levels. Higher coverage among adults, playing a central role in COVID-19 transmission, yields an indirect benefit for elderly. These results may inform the inclusion of digital contact tracing within a COVID-19 response plan.
has issue date	2020-07-25(xsd:dateTime)
bibo:doi	10.1101/2020.07.22.20158352
has license	medrxiv
sha1sum (hex)	fbc38ab5073001ea98ef9501333d52900b67c519
schema:url	https://doi.org/10.1101/2020.07.22.20158352
resource representing a document's title	Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection
resource representing a document's body	covid:fbc38ab5073001ea98ef9501333d52900b67c519#body_text
is schema:about of	named entity 'FRENCH' named entity 'IMPACT' named entity 'DETECTION' covid:arg/fbc38ab5073001ea98ef9501333d52900b67c519 named entity 'digital contact tracing' named entity 'transmissibility' named entity 'COVID' named entity 'epidemic' named entity 'agent-based model' named entity 'population immunity' named entity 'digital contact tracing' named entity 'peer review' named entity 'CC-BY-ND' named entity 'latency period' named entity 'probability' named entity 'smartphone' named entity 'epidemiological' named entity 'contact tracing' named entity 'medRxiv' named entity 'pre-symptomatic' named entity 'COVID-19' named entity 'age cohort' named entity 'digital contact tracing' named entity 'epidemic' named entity '2.6' named entity 'Italy' named entity '95%' named entity 'probability' named entity 'INSEE' named entity 'medRxiv' named entity 'case finding' named entity 'CC-BY-ND' named entity 'INSEE' named entity 'digital contact tracing' named entity '0.9' named entity 'SARS-COV-2' named entity 'medRxiv' named entity 'relative risk' named entity 'epidemic' named entity 'COVID19' named entity 'stochastic process' named entity '5.2' named entity 'medRxiv' named entity 'standard deviation' named entity '2.6' named entity 'peer review' named entity 'probability' named entity 'contact tracing' named entity 'COVID-19' named entity 'contact tracing' named entity 'CC-BY-ND' named entity '5.2' named entity 'clinical symptoms' named entity 'infection' named entity 'COVID-19' named entity 'epidemic' named entity 'probability' named entity 'CC-BY-ND' named entity 'COVID-19' named entity 'humidity' named entity 'France' named entity 'smartphone' named entity '2.6' named entity 'Wuhan' named entity 'recall bias' named entity 'CC-BY-ND' named entity 'contact tracing' named entity 'epidemic' named entity 'intensive care units' named entity 'medRxiv' named entity 'CC-BY-ND' named entity 'smartphone' named entity 'epidemic' named entity 'medRxiv' named entity 'infection' named entity 'infection' named entity 'epidemic'

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