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Sampling Bias in the Molecular Epidemiology of Tuberculosis
Among the goals of the molecular epidemiology of infectious disease are to quantify the extent of ongoing transmission of infectious agents and to identify host- and strain-specific risk factors for disease spread. I demonstrate the potential bias in estimates of recent transmission and the impact o...
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Formato: | Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2002
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730247/ https://www.ncbi.nlm.nih.gov/pubmed/11971768 http://dx.doi.org/10.3201/eid0804.000444 |
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author | Murray, Megan |
author_facet | Murray, Megan |
author_sort | Murray, Megan |
collection | PubMed |
description | Among the goals of the molecular epidemiology of infectious disease are to quantify the extent of ongoing transmission of infectious agents and to identify host- and strain-specific risk factors for disease spread. I demonstrate the potential bias in estimates of recent transmission and the impact of risk factors for clustering by using computer simulations to reconstruct populations of tuberculosis patients and sample from them. The bias consistently results in underestimating recent transmission and the impact of risk factors for recent transmission. |
format | Text |
id | pubmed-2730247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-27302472009-09-16 Sampling Bias in the Molecular Epidemiology of Tuberculosis Murray, Megan Emerg Infect Dis Research Among the goals of the molecular epidemiology of infectious disease are to quantify the extent of ongoing transmission of infectious agents and to identify host- and strain-specific risk factors for disease spread. I demonstrate the potential bias in estimates of recent transmission and the impact of risk factors for clustering by using computer simulations to reconstruct populations of tuberculosis patients and sample from them. The bias consistently results in underestimating recent transmission and the impact of risk factors for recent transmission. Centers for Disease Control and Prevention 2002-04 /pmc/articles/PMC2730247/ /pubmed/11971768 http://dx.doi.org/10.3201/eid0804.000444 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Murray, Megan Sampling Bias in the Molecular Epidemiology of Tuberculosis |
title | Sampling Bias in the Molecular Epidemiology of Tuberculosis |
title_full | Sampling Bias in the Molecular Epidemiology of Tuberculosis |
title_fullStr | Sampling Bias in the Molecular Epidemiology of Tuberculosis |
title_full_unstemmed | Sampling Bias in the Molecular Epidemiology of Tuberculosis |
title_short | Sampling Bias in the Molecular Epidemiology of Tuberculosis |
title_sort | sampling bias in the molecular epidemiology of tuberculosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730247/ https://www.ncbi.nlm.nih.gov/pubmed/11971768 http://dx.doi.org/10.3201/eid0804.000444 |
work_keys_str_mv | AT murraymegan samplingbiasinthemolecularepidemiologyoftuberculosis |