Stochastic two-group models with transmission dependent on host infectivity or susceptibility

Stochastic epidemic models with two groups are formulated and applied to emerging and re-emerging infectious diseases. In recent emerging diseases, disease spread has been attributed to superspreaders, highly infectious individuals that infect a large number of susceptible individuals. In some re-em...

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Main Authors: Aadrita Nandi, Linda J. S. Allen
Format: Article
Language:English
Published: Taylor & Francis Group 2019-03-01
Series:Journal of Biological Dynamics
Subjects:
Online Access:http://dx.doi.org/10.1080/17513758.2018.1538462
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author Aadrita Nandi
Linda J. S. Allen
author_facet Aadrita Nandi
Linda J. S. Allen
author_sort Aadrita Nandi
collection DOAJ
description Stochastic epidemic models with two groups are formulated and applied to emerging and re-emerging infectious diseases. In recent emerging diseases, disease spread has been attributed to superspreaders, highly infectious individuals that infect a large number of susceptible individuals. In some re-emerging infectious diseases, disease spread is attributed to waning immunity in susceptible hosts. We apply a continuous-time Markov chain (CTMC) model to study disease emergence or re-emergence from different groups, where the transmission rates depend on either the infectious host or the susceptible host. Multitype branching processes approximate the dynamics of the CTMC model near the disease-free equilibrium and are used to estimate the probability of a minor or a major epidemic. It is shown that the probability of a major epidemic is greater if initiated by an individual from the superspreader group or by an individual from the highly susceptible group. The models are applied to Severe Acute Respiratory Syndrome and measles.
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spelling doaj.art-62104c73e7014df7a144fd4e2bcf98152022-12-22T03:53:27ZengTaylor & Francis GroupJournal of Biological Dynamics1751-37581751-37662019-03-0113020122410.1080/17513758.2018.15384621538462Stochastic two-group models with transmission dependent on host infectivity or susceptibilityAadrita Nandi0Linda J. S. Allen1Texas Tech UniversityTexas Tech UniversityStochastic epidemic models with two groups are formulated and applied to emerging and re-emerging infectious diseases. In recent emerging diseases, disease spread has been attributed to superspreaders, highly infectious individuals that infect a large number of susceptible individuals. In some re-emerging infectious diseases, disease spread is attributed to waning immunity in susceptible hosts. We apply a continuous-time Markov chain (CTMC) model to study disease emergence or re-emergence from different groups, where the transmission rates depend on either the infectious host or the susceptible host. Multitype branching processes approximate the dynamics of the CTMC model near the disease-free equilibrium and are used to estimate the probability of a minor or a major epidemic. It is shown that the probability of a major epidemic is greater if initiated by an individual from the superspreader group or by an individual from the highly susceptible group. The models are applied to Severe Acute Respiratory Syndrome and measles.http://dx.doi.org/10.1080/17513758.2018.1538462Branching processMarkov chainsuperspreader
spellingShingle Aadrita Nandi
Linda J. S. Allen
Stochastic two-group models with transmission dependent on host infectivity or susceptibility
Journal of Biological Dynamics
Branching process
Markov chain
superspreader
title Stochastic two-group models with transmission dependent on host infectivity or susceptibility
title_full Stochastic two-group models with transmission dependent on host infectivity or susceptibility
title_fullStr Stochastic two-group models with transmission dependent on host infectivity or susceptibility
title_full_unstemmed Stochastic two-group models with transmission dependent on host infectivity or susceptibility
title_short Stochastic two-group models with transmission dependent on host infectivity or susceptibility
title_sort stochastic two group models with transmission dependent on host infectivity or susceptibility
topic Branching process
Markov chain
superspreader
url http://dx.doi.org/10.1080/17513758.2018.1538462
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