On treatment of tuberculosis in heterogeneous populations

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Title: On treatment of tuberculosis in heterogeneous populations
Authors: Murphy, Brian M.1, Singer, Benjamin H.1, Kirschner, Denise kirschne@umich.edu
Source: Journal of Theoretical Biology. Aug2003, Vol. 223 Issue 4, p391. 14p.
Subjects: Tuberculosis treatment, Demography
Abstract: Global eradication of tuberculosis (TB) is an international agenda. Thus understanding effects of treatment of TB in different settings is crucial. In previous work, we introduced the framework for a mathematical model of epidemic TB in demographically distinct, heterogeneous populations. Simulations showed the importance of genetic susceptibility in determining endemic prevalence levels. In the work presented here, we include treatment and investigate different strategies for treatment of latent and active TB disease in heterogeneous populations. We illustrate how the presence of a genetically susceptible subpopulation dramatically alters effects of treatment in the same way a core population does in the setting of sexually transmitted diseases. In addition, we evaluate treatment strategies that focus specifically on this subpopulation, and our results indicate that genetically susceptible subpopulations should be accounted for when designing treatment strategies to achieve the greatest reduction in disease prevalence. [Copyright &y& Elsevier]
Copyright of Journal of Theoretical Biology is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: On treatment of tuberculosis in heterogeneous populations
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  Data: <searchLink fieldCode="AR" term="%22Murphy%2C+Brian+M%2E%22">Murphy, Brian M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Singer%2C+Benjamin+H%2E%22">Singer, Benjamin H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kirschner%2C+Denise%22">Kirschner, Denise</searchLink><i> kirschne@umich.edu</i>
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  Data: Global eradication of tuberculosis (TB) is an international agenda. Thus understanding effects of treatment of TB in different settings is crucial. In previous work, we introduced the framework for a mathematical model of epidemic TB in demographically distinct, heterogeneous populations. Simulations showed the importance of genetic susceptibility in determining endemic prevalence levels. In the work presented here, we include treatment and investigate different strategies for treatment of latent and active TB disease in heterogeneous populations. We illustrate how the presence of a genetically susceptible subpopulation dramatically alters effects of treatment in the same way a core population does in the setting of sexually transmitted diseases. In addition, we evaluate treatment strategies that focus specifically on this subpopulation, and our results indicate that genetically susceptible subpopulations should be accounted for when designing treatment strategies to achieve the greatest reduction in disease prevalence. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Theoretical Biology is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/S0022-5193(03)00038-9
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        Text: English
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            NameFull: Singer, Benjamin H.
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              Text: Aug2003
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