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Comparing epidemic tuberculosis in demographically distinct heterogeneous populations

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Title: Comparing epidemic tuberculosis in demographically distinct heterogeneous populations
Authors: Murphy, Brian M.1, Singer, Benjamin H.1, Anderson, Shoana1, Kirschner, Denise kirschne@umich.edu
Source: Mathematical Biosciences. Nov2002, Vol. 180 Issue 1/2, p161. 25p.
Subjects: Tuberculosis transmission, Medical genetics
Abstract: There is wide variation in endemic tuberculosis (TB) levels between countries and we seek to identify possible causes of these differences. In this study we present an epidemiological model of Mycobacterium tuberculosis infection to investigate the effects of host genetics and demographic factors on epidemic TB. We discuss the general framework for this approach and present analytical results to identify important parameters affecting steady-state prevalence and incidence rates of TB disease. We then use numerical simulations of our model to observe the effects of a genetically susceptible subpopulation on TB disease dynamics at the population level. Finally, we simulate infection within a genetically heterogeneous population in two demographic settings: India (a typical population with high TB prevalence) and the USA (a typical population with low TB prevalence). Results show that changes in transmission parameters, the fraction of the population genetically susceptible to infection, and demographic factors strongly affect TB prevalence and incidence rates. [Copyright &y& Elsevier]
Copyright of Mathematical Biosciences is the property of Elsevier B.V. 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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 7897272
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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  Data: Comparing epidemic tuberculosis in demographically distinct 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="%22Anderson%2C+Shoana%22">Anderson, Shoana</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: <searchLink fieldCode="JN" term="%22Mathematical+Biosciences%22">Mathematical Biosciences</searchLink>. Nov2002, Vol. 180 Issue 1/2, p161. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Tuberculosis+transmission%22">Tuberculosis transmission</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+genetics%22">Medical genetics</searchLink>
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  Data: There is wide variation in endemic tuberculosis (TB) levels between countries and we seek to identify possible causes of these differences. In this study we present an epidemiological model of Mycobacterium tuberculosis infection to investigate the effects of host genetics and demographic factors on epidemic TB. We discuss the general framework for this approach and present analytical results to identify important parameters affecting steady-state prevalence and incidence rates of TB disease. We then use numerical simulations of our model to observe the effects of a genetically susceptible subpopulation on TB disease dynamics at the population level. Finally, we simulate infection within a genetically heterogeneous population in two demographic settings: India (a typical population with high TB prevalence) and the USA (a typical population with low TB prevalence). Results show that changes in transmission parameters, the fraction of the population genetically susceptible to infection, and demographic factors strongly affect TB prevalence and incidence rates. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Mathematical Biosciences is the property of Elsevier B.V. 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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      – Type: doi
        Value: 10.1016/S0025-5564(02)00133-5
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      – Code: eng
        Text: English
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        PageCount: 25
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    Subjects:
      – SubjectFull: Tuberculosis transmission
        Type: general
      – SubjectFull: Medical genetics
        Type: general
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      – TitleFull: Comparing epidemic tuberculosis in demographically distinct heterogeneous populations
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            NameFull: Murphy, Brian M.
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            NameFull: Singer, Benjamin H.
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            NameFull: Anderson, Shoana
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              Text: Nov2002
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              Y: 2002
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              Value: 1/2
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            – TitleFull: Mathematical Biosciences
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