Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis
<p>Abstract</p> <p>In order to achieve a better understanding of multiple infections and long latency in the dynamics of <it>Mycobacterium tuberculosis </it>infection, we analyze a simple model. Since backward bifurcation is well documented in the literature with respec...
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doaj-332e54e16f98411ca2b5c3c4d3019c3b2020-11-24T23:28:07ZengBMCTheoretical Biology and Medical Modelling1742-46822010-11-01714110.1186/1742-4682-7-41Assessing the effects of multiple infections and long latency in the dynamics of tuberculosisRaimundo Silvia MYang Hyun M<p>Abstract</p> <p>In order to achieve a better understanding of multiple infections and long latency in the dynamics of <it>Mycobacterium tuberculosis </it>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.</p> http://www.tbiomed.com/content/7/1/41 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Raimundo Silvia M Yang Hyun M |
spellingShingle |
Raimundo Silvia M Yang Hyun M Assessing the effects of multiple infections and long latency in the dynamics of tuberculosis Theoretical Biology and Medical Modelling |
author_facet |
Raimundo Silvia M Yang Hyun M |
author_sort |
Raimundo Silvia M |
title |
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_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_sort |
assessing the effects of multiple infections and long latency in the dynamics of tuberculosis |
publisher |
BMC |
series |
Theoretical Biology and Medical Modelling |
issn |
1742-4682 |
publishDate |
2010-11-01 |
description |
<p>Abstract</p> <p>In order to achieve a better understanding of multiple infections and long latency in the dynamics of <it>Mycobacterium tuberculosis </it>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.</p> |
url |
http://www.tbiomed.com/content/7/1/41 |
work_keys_str_mv |
AT raimundosilviam assessingtheeffectsofmultipleinfectionsandlonglatencyinthedynamicsoftuberculosis AT yanghyunm assessingtheeffectsofmultipleinfectionsandlonglatencyinthedynamicsoftuberculosis |
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