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Okolie, A.* ; Müller, J.

Exact and approximate formulas for contact tracing on random trees.

Math. Biosci. 321:108320 (2020)
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Open Access Green
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Stochastic Sir Model ; Tree ; Network ; Contact Tracing ; Branching Process ; Message Passing Model; Transmitted-disease Transmission; Models; Epidemics; Equations; Networks
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 0025-5564
e-ISSN 1879-3134
Zeitschrift Mathematical Biosciences
Quellenangaben Band: 321, Heft: , Seiten: , Artikelnummer: 108320 Supplement: ,
Verlag Elsevier
Verlagsort Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503800-001
DOI 10.1016/j.mbs.2020.108320
WOS ID WOS:000526821700003
Scopus ID 85079688005
Erfassungsdatum 2020-03-18
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