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Exact and approximate formulas for contact tracing on random trees.
Math. Biosci. 321:108320 (2020)
We consider a stochastic susceptible-infected-recovered (SIR) model with contact tracing on random trees and on the configuration model. On a rooted tree, where initially all individuals are susceptible apart from the root which is infected, we are able to find exact formulas for the distribution of the infectious period. Thereto, we show how to extend the existing theory for contact tracing in homogeneously mixing populations to trees. Based on these formulas, we discuss the influence of randomness in the tree and the basic reproduction number. We find the well known results for the homogeneously mixing case as a limit of the present model (tree-shaped contact graph). Furthermore, we develop approximate mean field equations for the dynamics on trees, and - using the message passing method - also for the configuration model. The interpretation and implications of the results are discussed.
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Publication type
Article: Journal article
Document type
Review
Keywords
Stochastic Sir Model ; Tree ; Network ; Contact Tracing ; Branching Process ; Message Passing Model; Transmitted-disease Transmission; Models; Epidemics; Equations; Networks
Language
english
Publication Year
2020
HGF-reported in Year
2020
ISSN (print) / ISBN
0025-5564
e-ISSN
1879-3134
Journal
Mathematical Biosciences
Quellenangaben
Volume: 321,
Article Number: 108320
Publisher
Elsevier
Publishing Place
Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503800-001
WOS ID
WOS:000526821700003
Scopus ID
85079688005
Erfassungsdatum
2020-03-18