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Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection
In this paper, a two-strain model with coinfection that links immunological and epidemiological dynamics across scales is formulated. On the with-in host scale, the two strains eliminate each other with the strain having the larger immunological reproduction number persisting. However, on the popula...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511867/ https://www.ncbi.nlm.nih.gov/pubmed/34643801 http://dx.doi.org/10.1007/s11538-021-00946-9 |
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author | Li, Xue-Zhi Gao, Shasha Fu, Yi-Ke Martcheva, Maia |
author_facet | Li, Xue-Zhi Gao, Shasha Fu, Yi-Ke Martcheva, Maia |
author_sort | Li, Xue-Zhi |
collection | PubMed |
description | In this paper, a two-strain model with coinfection that links immunological and epidemiological dynamics across scales is formulated. On the with-in host scale, the two strains eliminate each other with the strain having the larger immunological reproduction number persisting. However, on the population scale coinfection is a common occurrence. Individuals infected with strain one can become coinfected with strain two and similarly for individuals originally infected with strain two. The immunological reproduction numbers [Formula: see text] , the epidemiological reproduction numbers [Formula: see text] and invasion reproduction numbers [Formula: see text] are computed. Besides the disease-free equilibrium, there are strain one and strain two dominance equilibria. The disease-free equilibrium is locally asymptotically stable when the epidemiological reproduction numbers [Formula: see text] are smaller than one. In addition, each strain dominance equilibrium is locally asymptotically stable if the corresponding epidemiological reproduction number is larger than one and the invasion reproduction number of the other strain is smaller than one. The coexistence equilibrium exists when all the reproduction numbers are greater than one. Simulations suggest that when both invasion reproduction numbers are smaller than one, bistability occurs with one of the strains persisting or the other, depending on initial conditions. |
format | Online Article Text |
id | pubmed-8511867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-85118672021-10-13 Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection Li, Xue-Zhi Gao, Shasha Fu, Yi-Ke Martcheva, Maia Bull Math Biol Original Article In this paper, a two-strain model with coinfection that links immunological and epidemiological dynamics across scales is formulated. On the with-in host scale, the two strains eliminate each other with the strain having the larger immunological reproduction number persisting. However, on the population scale coinfection is a common occurrence. Individuals infected with strain one can become coinfected with strain two and similarly for individuals originally infected with strain two. The immunological reproduction numbers [Formula: see text] , the epidemiological reproduction numbers [Formula: see text] and invasion reproduction numbers [Formula: see text] are computed. Besides the disease-free equilibrium, there are strain one and strain two dominance equilibria. The disease-free equilibrium is locally asymptotically stable when the epidemiological reproduction numbers [Formula: see text] are smaller than one. In addition, each strain dominance equilibrium is locally asymptotically stable if the corresponding epidemiological reproduction number is larger than one and the invasion reproduction number of the other strain is smaller than one. The coexistence equilibrium exists when all the reproduction numbers are greater than one. Simulations suggest that when both invasion reproduction numbers are smaller than one, bistability occurs with one of the strains persisting or the other, depending on initial conditions. Springer US 2021-10-13 2021 /pmc/articles/PMC8511867/ /pubmed/34643801 http://dx.doi.org/10.1007/s11538-021-00946-9 Text en © The Author(s), under exclusive licence to Society for Mathematical Biology 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Li, Xue-Zhi Gao, Shasha Fu, Yi-Ke Martcheva, Maia Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection |
title | Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection |
title_full | Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection |
title_fullStr | Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection |
title_full_unstemmed | Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection |
title_short | Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection |
title_sort | modeling and research on an immuno-epidemiological coupled system with coinfection |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511867/ https://www.ncbi.nlm.nih.gov/pubmed/34643801 http://dx.doi.org/10.1007/s11538-021-00946-9 |
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