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Linking immunological and epidemiological dynamics of HIV: the case of super-infection
In this paper, a two-strain model that links immunological and epidemiological dynamics across scales is formulated. On the within-host scale, the two strains eliminate each other with the strain with the larger immunological reproduction persisting. However, on the population scale superinfection i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756640/ https://www.ncbi.nlm.nih.gov/pubmed/23895263 http://dx.doi.org/10.1080/17513758.2013.820358 |
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author | Martcheva, Maia Li, Xue-Zhi |
author_facet | Martcheva, Maia Li, Xue-Zhi |
author_sort | Martcheva, Maia |
collection | PubMed |
description | In this paper, a two-strain model that links immunological and epidemiological dynamics across scales is formulated. On the within-host scale, the two strains eliminate each other with the strain with the larger immunological reproduction persisting. However, on the population scale superinfection is possible, with the strain with larger immunological reproduction number super-infecting the strain with the smaller immunological reproduction number. The two models are linked through the age-since-infection structure of the epidemiological variables. In addition, the between-host transmission and the disease-induced death rate depend on the within-host viral load. The immunological reproduction numbers, the epidemiological reproduction numbers and invasion reproduction numbers are computed. Besides the disease-free equilibrium, there are two population-level strain one and strain two isolated equilibria, as well as a population-level coexistence equilibrium when both invasion reproduction numbers are greater than one. The single-strain population-level equilibria are locally asymptotically stable suggesting that in the absence of superinfection oscillations do not occur, a result contrasting previous studies of HIV age-since-infection structured models. Simulations suggest that the epidemiological reproduction number and HIV population prevalence are monotone functions of the within-host parameters with reciprocal trends. In particular, HIV medications that decrease within-host viral load also increase overall population prevalence. The effect of the immunological parameters on the population reproduction number and prevalence is more pronounced when the initial viral load is lower. AMS Subject Classification: 92D30, 92D40 |
format | Online Article Text |
id | pubmed-3756640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-37566402013-08-29 Linking immunological and epidemiological dynamics of HIV: the case of super-infection Martcheva, Maia Li, Xue-Zhi J Biol Dyn Research Article In this paper, a two-strain model that links immunological and epidemiological dynamics across scales is formulated. On the within-host scale, the two strains eliminate each other with the strain with the larger immunological reproduction persisting. However, on the population scale superinfection is possible, with the strain with larger immunological reproduction number super-infecting the strain with the smaller immunological reproduction number. The two models are linked through the age-since-infection structure of the epidemiological variables. In addition, the between-host transmission and the disease-induced death rate depend on the within-host viral load. The immunological reproduction numbers, the epidemiological reproduction numbers and invasion reproduction numbers are computed. Besides the disease-free equilibrium, there are two population-level strain one and strain two isolated equilibria, as well as a population-level coexistence equilibrium when both invasion reproduction numbers are greater than one. The single-strain population-level equilibria are locally asymptotically stable suggesting that in the absence of superinfection oscillations do not occur, a result contrasting previous studies of HIV age-since-infection structured models. Simulations suggest that the epidemiological reproduction number and HIV population prevalence are monotone functions of the within-host parameters with reciprocal trends. In particular, HIV medications that decrease within-host viral load also increase overall population prevalence. The effect of the immunological parameters on the population reproduction number and prevalence is more pronounced when the initial viral load is lower. AMS Subject Classification: 92D30, 92D40 Taylor & Francis 2013-07-29 2013-12 /pmc/articles/PMC3756640/ /pubmed/23895263 http://dx.doi.org/10.1080/17513758.2013.820358 Text en © 2013 The Author(s). Published by Taylor & Francis. http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Martcheva, Maia Li, Xue-Zhi Linking immunological and epidemiological dynamics of HIV: the case of super-infection |
title | Linking immunological and epidemiological dynamics of HIV: the case of super-infection |
title_full | Linking immunological and epidemiological dynamics of HIV: the case of super-infection |
title_fullStr | Linking immunological and epidemiological dynamics of HIV: the case of super-infection |
title_full_unstemmed | Linking immunological and epidemiological dynamics of HIV: the case of super-infection |
title_short | Linking immunological and epidemiological dynamics of HIV: the case of super-infection |
title_sort | linking immunological and epidemiological dynamics of hiv: the case of super-infection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756640/ https://www.ncbi.nlm.nih.gov/pubmed/23895263 http://dx.doi.org/10.1080/17513758.2013.820358 |
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