Visualizing the invisible: the effect of asymptomatic transmission on the outbreak dynamics of COVID-19
type: Item
instance of: scholarly article
title: Visualizing the invisible: the effect of asymptomatic transmission on the outbreak dynamics of COVID-19
zbMATH Open document ID: 1506.92099
author: Mathias Peirlinck
author: Kevin Linka
author: Francisco Sahli Costabal
author: Jay Bhattacharya
author: Eran Bendavid
author: John P. A. Ioannidis
author: Ellen Kuhl
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-26T00:00:00Z
full work available at URL: PMC7831913
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7337904
zbMATH Keywords: COVID-19
zbMATH Keywords: epidemiology
zbMATH Keywords: asymptomatic transmission
zbMATH Keywords: machine learning
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: Bayesian inference
describes a project that uses: NUTS
describes a project that uses: PyMC
MaRDI profile type: Publication
OpenAlex ID: W3084138437
Wikidata QID: Q112558307
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DOI: 10.1016/J.CMA.2020.113410
description: scientific article; zbMATH DE number 7337904