Influence of backward bifurcation on interpretation of $R_0$ in a model of epidemic tuberculosis with reinfection
There is significant disagreement in the epidemiological literatureregarding the extent to which reinfection of latently infected individuals contributes to the dynamics of tuberculosis (TB) epidemics. In this study wepresent an epidemiological model of Mycobacterium tuberculosis infection thatinclud...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2004-02-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2004.1.81 |
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| Summary: | There is significant disagreement in the epidemiological literatureregarding the extent to which reinfection of latently infected individuals contributes to the dynamics of tuberculosis (TB) epidemics. In this study wepresent an epidemiological model of Mycobacterium tuberculosis infection thatincludes the process of reinfection. Using analysis and numerical simulations,we observe the effect that varying levels of reinfection has on the qualitativedynamics of the TB epidemic. We examine cases of the model both withand without treatment of actively infected individuals. Next, we consider avariation of the model describing a heterogeneous population, stratified by susceptibility to TB infection. Results show that a threshold level of reinfectionexists in all cases of the model. Beyond this threshold, the dynamics of themodel are described by a backward bifurcation. Uncertainty analysis of theparameters shows that this threshold is too high to be attained in a realisticepidemic. However, we show that even for sub-threshold levels of reinfection,including reinfection in the model changes dynamic behavior of the model.In particular, when reinfection is present the basic reproductive number, $R_0$,does not accurately describe the severity of an epidemic. |
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| ISSN: | 1551-0018 |