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About:
Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection
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An Entity of Type :
schema:ScholarlyArticle
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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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
»more»
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
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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
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covid:fbc38ab5073001ea98ef9501333d52900b67c519#body_text
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named entity 'FRENCH'
named entity 'IMPACT'
named entity 'DETECTION'
covid:arg/fbc38ab5073001ea98ef9501333d52900b67c519
named entity 'digital contact tracing'
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