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Invasion reproductive numbers for discrete-time models

Although invasion reproductive numbers (IRNs) are utilized frequently in continuous-time models with multiple interacting pathogens, they are yet to be explored in discrete-time systems. Here, we extend the concept of IRNs to discrete-time models by showing how to calculate them for a set of two-pat...

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Autores principales: Olawoyin, Omomayowa, Kribs, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468161/
https://www.ncbi.nlm.nih.gov/pubmed/31016273
http://dx.doi.org/10.1016/j.idm.2019.03.002
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author Olawoyin, Omomayowa
Kribs, Christopher
author_facet Olawoyin, Omomayowa
Kribs, Christopher
author_sort Olawoyin, Omomayowa
collection PubMed
description Although invasion reproductive numbers (IRNs) are utilized frequently in continuous-time models with multiple interacting pathogens, they are yet to be explored in discrete-time systems. Here, we extend the concept of IRNs to discrete-time models by showing how to calculate them for a set of two-pathogen SIS models with coinfection. In our exploration, we address how sequencing events impacts the basic reproductive number (BRN) and IRN. As an illustrative example, our models are applied to rhinovirus and respiratory syncytial virus co-circulation. Results show that while the BRN is unaffected by variations in the order of events, the IRN differs. Furthermore, our models predict copersistence of multiple pathogen strains under cross-immunity, which is atypical of analogous continuous-time models. This investigation shows that sequencing events has important consequences for the IRN and can drastically alter competition dynamics.
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spelling pubmed-64681612019-04-23 Invasion reproductive numbers for discrete-time models Olawoyin, Omomayowa Kribs, Christopher Infect Dis Model Original Research Article Although invasion reproductive numbers (IRNs) are utilized frequently in continuous-time models with multiple interacting pathogens, they are yet to be explored in discrete-time systems. Here, we extend the concept of IRNs to discrete-time models by showing how to calculate them for a set of two-pathogen SIS models with coinfection. In our exploration, we address how sequencing events impacts the basic reproductive number (BRN) and IRN. As an illustrative example, our models are applied to rhinovirus and respiratory syncytial virus co-circulation. Results show that while the BRN is unaffected by variations in the order of events, the IRN differs. Furthermore, our models predict copersistence of multiple pathogen strains under cross-immunity, which is atypical of analogous continuous-time models. This investigation shows that sequencing events has important consequences for the IRN and can drastically alter competition dynamics. KeAi Publishing 2019-04-04 /pmc/articles/PMC6468161/ /pubmed/31016273 http://dx.doi.org/10.1016/j.idm.2019.03.002 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Olawoyin, Omomayowa
Kribs, Christopher
Invasion reproductive numbers for discrete-time models
title Invasion reproductive numbers for discrete-time models
title_full Invasion reproductive numbers for discrete-time models
title_fullStr Invasion reproductive numbers for discrete-time models
title_full_unstemmed Invasion reproductive numbers for discrete-time models
title_short Invasion reproductive numbers for discrete-time models
title_sort invasion reproductive numbers for discrete-time models
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468161/
https://www.ncbi.nlm.nih.gov/pubmed/31016273
http://dx.doi.org/10.1016/j.idm.2019.03.002
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