Literature DB >> 32014418

Exact and approximate formulas for contact tracing on random trees.

Augustine Okolie1, Johannes Müller2.   

Abstract

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.
Copyright © 2020 Elsevier Inc. All rights reserved.

Keywords:  Branching process; Contact tracing; Message passing model; Network; Stochastic SIR model; Tree

Mesh:

Year:  2020        PMID: 32014418     DOI: 10.1016/j.mbs.2020.108320

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  4 in total

1.  Contact tracing - Old models and new challenges.

Authors:  Johannes Müller; Mirjam Kretzschmar
Journal:  Infect Dis Model       Date:  2020-12-30

2.  A multi-type branching process model for epidemics with application to COVID-19.

Authors:  Arnab Kumar Laha; Sourav Majumdar
Journal:  Stoch Environ Res Risk Assess       Date:  2022-09-06       Impact factor: 3.821

3.  Estimation of the percentages of undiagnosed patients of the novel coronavirus (SARS-CoV-2) infection in Hokkaido, Japan by using birth-death process with recursive full tracing.

Authors:  Takuma Tanaka; Takayuki Yamaguchi; Yohei Sakamoto
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

4.  Automated contact tracing: a game of big numbers in the time of COVID-19.

Authors:  Hyunju Kim; Ayan Paul
Journal:  J R Soc Interface       Date:  2021-02-24       Impact factor: 4.118

  4 in total

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