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Drivers of Tuberculosis Transmission

Measuring tuberculosis transmission is exceedingly difficult, given the remarkable variability in the timing of clinical disease after Mycobacterium tuberculosis infection; incident disease can result from either a recent (ie, weeks to months) or a remote (ie, several years to decades) infection eve...

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Autores principales: Mathema, Barun, Andrews, Jason R, Cohen, Ted, Borgdorff, Martien W, Behr, Marcel, Glynn, Judith R, Rustomjee, Roxana, Silk, Benjamin J, Wood, Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853844/
https://www.ncbi.nlm.nih.gov/pubmed/29112745
http://dx.doi.org/10.1093/infdis/jix354
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author Mathema, Barun
Andrews, Jason R
Cohen, Ted
Borgdorff, Martien W
Behr, Marcel
Glynn, Judith R
Rustomjee, Roxana
Silk, Benjamin J
Wood, Robin
author_facet Mathema, Barun
Andrews, Jason R
Cohen, Ted
Borgdorff, Martien W
Behr, Marcel
Glynn, Judith R
Rustomjee, Roxana
Silk, Benjamin J
Wood, Robin
author_sort Mathema, Barun
collection PubMed
description Measuring tuberculosis transmission is exceedingly difficult, given the remarkable variability in the timing of clinical disease after Mycobacterium tuberculosis infection; incident disease can result from either a recent (ie, weeks to months) or a remote (ie, several years to decades) infection event. Although we cannot identify with certainty the timing and location of tuberculosis transmission for individuals, approaches for estimating the individual probability of recent transmission and for estimating the fraction of tuberculosis cases due to recent transmission in populations have been developed. Data used to estimate the probable burden of recent transmission include tuberculosis case notifications in young children and trends in tuberculin skin test and interferon γ–release assays. More recently, M. tuberculosis whole-genome sequencing has been used to estimate population levels of recent transmission, identify the distribution of specific strains within communities, and decipher chains of transmission among culture-positive tuberculosis cases. The factors that drive the transmission of tuberculosis in communities depend on the burden of prevalent tuberculosis; the ways in which individuals live, work, and interact (eg, congregate settings); and the capacity of healthcare and public health systems to identify and effectively treat individuals with infectious forms of tuberculosis. Here we provide an overview of these factors, describe tools for measurement of ongoing transmission, and highlight knowledge gaps that must be addressed.
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spelling pubmed-58538442018-11-03 Drivers of Tuberculosis Transmission Mathema, Barun Andrews, Jason R Cohen, Ted Borgdorff, Martien W Behr, Marcel Glynn, Judith R Rustomjee, Roxana Silk, Benjamin J Wood, Robin J Infect Dis Supplement Articles Measuring tuberculosis transmission is exceedingly difficult, given the remarkable variability in the timing of clinical disease after Mycobacterium tuberculosis infection; incident disease can result from either a recent (ie, weeks to months) or a remote (ie, several years to decades) infection event. Although we cannot identify with certainty the timing and location of tuberculosis transmission for individuals, approaches for estimating the individual probability of recent transmission and for estimating the fraction of tuberculosis cases due to recent transmission in populations have been developed. Data used to estimate the probable burden of recent transmission include tuberculosis case notifications in young children and trends in tuberculin skin test and interferon γ–release assays. More recently, M. tuberculosis whole-genome sequencing has been used to estimate population levels of recent transmission, identify the distribution of specific strains within communities, and decipher chains of transmission among culture-positive tuberculosis cases. The factors that drive the transmission of tuberculosis in communities depend on the burden of prevalent tuberculosis; the ways in which individuals live, work, and interact (eg, congregate settings); and the capacity of healthcare and public health systems to identify and effectively treat individuals with infectious forms of tuberculosis. Here we provide an overview of these factors, describe tools for measurement of ongoing transmission, and highlight knowledge gaps that must be addressed. Oxford University Press 2017-10-01 2017-11-03 /pmc/articles/PMC5853844/ /pubmed/29112745 http://dx.doi.org/10.1093/infdis/jix354 Text en © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. https://creativecommons.org/licenses/by/3.0/igo/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO) License (https://creativecommons.org/licenses/by/3.0/igo/) which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Supplement Articles
Mathema, Barun
Andrews, Jason R
Cohen, Ted
Borgdorff, Martien W
Behr, Marcel
Glynn, Judith R
Rustomjee, Roxana
Silk, Benjamin J
Wood, Robin
Drivers of Tuberculosis Transmission
title Drivers of Tuberculosis Transmission
title_full Drivers of Tuberculosis Transmission
title_fullStr Drivers of Tuberculosis Transmission
title_full_unstemmed Drivers of Tuberculosis Transmission
title_short Drivers of Tuberculosis Transmission
title_sort drivers of tuberculosis transmission
topic Supplement Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853844/
https://www.ncbi.nlm.nih.gov/pubmed/29112745
http://dx.doi.org/10.1093/infdis/jix354
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