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Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis

In order to achieve a better understanding of multiple infections and long latency in the dynamics of Mycobacterium tuberculosis infection, we analyze a simple model. Since backward bifurcation is well documented in the literature with respect to the model we are considering, our aim is to illustrat...

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Detalles Bibliográficos
Autores principales: Yang, Hyun M, Raimundo, Silvia M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995482/
https://www.ncbi.nlm.nih.gov/pubmed/21059256
http://dx.doi.org/10.1186/1742-4682-7-41
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author Yang, Hyun M
Raimundo, Silvia M
author_facet Yang, Hyun M
Raimundo, Silvia M
author_sort Yang, Hyun M
collection PubMed
description In order to achieve a better understanding of multiple infections and long latency in the dynamics of Mycobacterium tuberculosis infection, we analyze a simple model. Since backward bifurcation is well documented in the literature with respect to the model we are considering, our aim is to illustrate this behavior in terms of the range of variations of the model's parameters. We show that backward bifurcation disappears (and forward bifurcation occurs) if: (a) the latent period is shortened below a critical value; and (b) the rates of super-infection and re-infection are decreased. This result shows that among immunosuppressed individuals, super-infection and/or changes in the latent period could act to facilitate the onset of tuberculosis. When we decrease the incubation period below the critical value, we obtain the curve of the incidence of tuberculosis following forward bifurcation; however, this curve envelops that obtained from the backward bifurcation diagram.
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spelling pubmed-29954822011-01-05 Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis Yang, Hyun M Raimundo, Silvia M Theor Biol Med Model Research In order to achieve a better understanding of multiple infections and long latency in the dynamics of Mycobacterium tuberculosis infection, we analyze a simple model. Since backward bifurcation is well documented in the literature with respect to the model we are considering, our aim is to illustrate this behavior in terms of the range of variations of the model's parameters. We show that backward bifurcation disappears (and forward bifurcation occurs) if: (a) the latent period is shortened below a critical value; and (b) the rates of super-infection and re-infection are decreased. This result shows that among immunosuppressed individuals, super-infection and/or changes in the latent period could act to facilitate the onset of tuberculosis. When we decrease the incubation period below the critical value, we obtain the curve of the incidence of tuberculosis following forward bifurcation; however, this curve envelops that obtained from the backward bifurcation diagram. BioMed Central 2010-11-08 /pmc/articles/PMC2995482/ /pubmed/21059256 http://dx.doi.org/10.1186/1742-4682-7-41 Text en Copyright ©2010 Yang and Raimundo; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Yang, Hyun M
Raimundo, Silvia M
Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
title Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
title_full Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
title_fullStr Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
title_full_unstemmed Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
title_short Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
title_sort assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995482/
https://www.ncbi.nlm.nih.gov/pubmed/21059256
http://dx.doi.org/10.1186/1742-4682-7-41
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