author_facet Murray, Megan
Murray, Megan
author Murray, Megan
spellingShingle Murray, Megan
Proceedings of the National Academy of Sciences
Determinants of cluster distribution in the molecular epidemiology of tuberculosis
Multidisciplinary
author_sort murray, megan
spelling Murray, Megan 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.022618299 <jats:p> Recently developed molecular techniques have revolutionized the epidemiology of tuberculosis. Multiple studies have used these tools to examine the population structure of <jats:italic>Mycobacterium tuberculosis</jats:italic> isolates in different communities. The distributions of clusters of <jats:italic>M. tuberculosis</jats:italic> isolates in these settings may variously reflect social mixing patterns or the differential fitness of specific clones of the organism. We developed an individual-based microsimulation of tuberculosis transmission to explore social and demographic determinants of cluster distribution and to observe the effect of transmission dynamics on the empiric data from molecular epidemiologic studies. Our results demonstrate that multiple host-related factors contribute to wide variation in cluster distributions even when all strains of the organism are assumed to be equally transmissible. These host characteristics include interventions such as chemotherapy, vaccination and chemoprophylaxis, HIV prevalence, the age structure of the population, and the prevalence of latent tuberculosis infection. We consider the implications of these results for the interpretation of cluster studies of <jats:italic>M. tuberculosis</jats:italic> as well as the more general application of microsimulation models to infectious disease epidemiology. </jats:p> Determinants of cluster distribution in the molecular epidemiology of tuberculosis Proceedings of the National Academy of Sciences
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title Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_unstemmed Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_full Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_fullStr Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_full_unstemmed Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_short Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_sort determinants of cluster distribution in the molecular epidemiology of tuberculosis
topic Multidisciplinary
url http://dx.doi.org/10.1073/pnas.022618299
publishDate 2002
physical 1538-1543
description <jats:p> Recently developed molecular techniques have revolutionized the epidemiology of tuberculosis. Multiple studies have used these tools to examine the population structure of <jats:italic>Mycobacterium tuberculosis</jats:italic> isolates in different communities. The distributions of clusters of <jats:italic>M. tuberculosis</jats:italic> isolates in these settings may variously reflect social mixing patterns or the differential fitness of specific clones of the organism. We developed an individual-based microsimulation of tuberculosis transmission to explore social and demographic determinants of cluster distribution and to observe the effect of transmission dynamics on the empiric data from molecular epidemiologic studies. Our results demonstrate that multiple host-related factors contribute to wide variation in cluster distributions even when all strains of the organism are assumed to be equally transmissible. These host characteristics include interventions such as chemotherapy, vaccination and chemoprophylaxis, HIV prevalence, the age structure of the population, and the prevalence of latent tuberculosis infection. We consider the implications of these results for the interpretation of cluster studies of <jats:italic>M. tuberculosis</jats:italic> as well as the more general application of microsimulation models to infectious disease epidemiology. </jats:p>
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author Murray, Megan
author_facet Murray, Megan, Murray, Megan
author_sort murray, megan
container_issue 3
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container_title Proceedings of the National Academy of Sciences
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description <jats:p> Recently developed molecular techniques have revolutionized the epidemiology of tuberculosis. Multiple studies have used these tools to examine the population structure of <jats:italic>Mycobacterium tuberculosis</jats:italic> isolates in different communities. The distributions of clusters of <jats:italic>M. tuberculosis</jats:italic> isolates in these settings may variously reflect social mixing patterns or the differential fitness of specific clones of the organism. We developed an individual-based microsimulation of tuberculosis transmission to explore social and demographic determinants of cluster distribution and to observe the effect of transmission dynamics on the empiric data from molecular epidemiologic studies. Our results demonstrate that multiple host-related factors contribute to wide variation in cluster distributions even when all strains of the organism are assumed to be equally transmissible. These host characteristics include interventions such as chemotherapy, vaccination and chemoprophylaxis, HIV prevalence, the age structure of the population, and the prevalence of latent tuberculosis infection. We consider the implications of these results for the interpretation of cluster studies of <jats:italic>M. tuberculosis</jats:italic> as well as the more general application of microsimulation models to infectious disease epidemiology. </jats:p>
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spelling Murray, Megan 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.022618299 <jats:p> Recently developed molecular techniques have revolutionized the epidemiology of tuberculosis. Multiple studies have used these tools to examine the population structure of <jats:italic>Mycobacterium tuberculosis</jats:italic> isolates in different communities. The distributions of clusters of <jats:italic>M. tuberculosis</jats:italic> isolates in these settings may variously reflect social mixing patterns or the differential fitness of specific clones of the organism. We developed an individual-based microsimulation of tuberculosis transmission to explore social and demographic determinants of cluster distribution and to observe the effect of transmission dynamics on the empiric data from molecular epidemiologic studies. Our results demonstrate that multiple host-related factors contribute to wide variation in cluster distributions even when all strains of the organism are assumed to be equally transmissible. These host characteristics include interventions such as chemotherapy, vaccination and chemoprophylaxis, HIV prevalence, the age structure of the population, and the prevalence of latent tuberculosis infection. We consider the implications of these results for the interpretation of cluster studies of <jats:italic>M. tuberculosis</jats:italic> as well as the more general application of microsimulation models to infectious disease epidemiology. </jats:p> Determinants of cluster distribution in the molecular epidemiology of tuberculosis Proceedings of the National Academy of Sciences
spellingShingle Murray, Megan, Proceedings of the National Academy of Sciences, Determinants of cluster distribution in the molecular epidemiology of tuberculosis, Multidisciplinary
title Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_full Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_fullStr Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_full_unstemmed Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_short Determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_sort determinants of cluster distribution in the molecular epidemiology of tuberculosis
title_unstemmed Determinants of cluster distribution in the molecular epidemiology of tuberculosis
topic Multidisciplinary
url http://dx.doi.org/10.1073/pnas.022618299